What Emergency Management Jobs are in India?
Showing 2048 Emergency Management jobs in India
Job Description
Description
About Amazon.com
Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world.
About the Role
Team Lead, Account Management
We are seeking a data driven, customer-centric people leader to own the Account Management strategy for multiple Amazon Emerging Country vendor portfolio through the Amazon Vendor Services (AVS), a paid service program that provides Amazon vendors with dedicated support to help them grow and optimize their business on Amazon. This role serves as a team leader, managing a team of Account Managers responsible for driving business growth, vendor satisfaction, and operational excellence across multiple countries. The candidate will own end-to-end vendor performance from joint business planning through execution, partnering with Retail category teams, Vendor Services and cross-functional stakeholders to unlock selection, merchandising, and revenue opportunities. The ideal candidate thrives in ambiguity, operates as a business owner who can identify growth levers and operationalize them across their team, and works across site merchandising, buying, inventory management, finance, operations, and marketing. They are at their best when building high-performing teams and delivering exceptional customer and vendor outcomes at scale.
Key job responsibilities
1. Lead and develop a team of Account Managers across multiple market places, setting clear priorities, removing blockers, and providing escalation support to drive vendor and category performance.
2. Own the business inputs for assigned product families, identifying levers to accelerate growth and improve end-customer experience.
3. Build and execute strategic joint business plans with vendors, driving new selection, merchandising, and operational improvement opportunities at scale.
4. Partner with in country Retail category teams, Vendor Services, and Operations to align on category priorities, close selection gaps, and execute promotional strategies.
5. Define and track success metrics - including GMS growth, vendor satisfaction, operational health, and team input metrics - establishing mechanisms for continuous improvement.
6. Develop data-driven processes, guardrails, and mechanisms to manage vendor complexity and enable efficient resource allocation across the team.
7. Identify and explore new emerging market places, act as a thought leader to support business growth along with in country partners.
8. Drive recruiting, talent development, and team culture - building a high-performing team that delivers results while raising the bar on operational standards.
About the team
The vision of RBS MVR team is "To unlock the full potential of every vendor on Amazon through an intelligent scaling engine, that transforms how we recruit, launch, and grow our partners to deliver unparalleled selection and value to customers worldwide".
Basic Qualifications
- Bachelor's degree
- Experience analyzing data and best practices to assess performance drivers
- Experience influencing internal and external stakeholders
- Experience using analytical, account management, and productivity tools, such as, Oracle Business Intelligence, SalesForce, Tableau, or similar
- 5+ years of retail or customer facing experience
Preferred Qualifications
- 4+ years of team management experience
- Experience successfully managing dynamic account portfolios
- MBA
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
About Amazon.com
Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world.
About the Role
Team Lead, Account Management
We are seeking a data driven, customer-centric people leader to own the Account Management strategy for multiple Amazon Emerging Country vendor portfolio through the Amazon Vendor Services (AVS), a paid service program that provides Amazon vendors with dedicated support to help them grow and optimize their business on Amazon. This role serves as a team leader, managing a team of Account Managers responsible for driving business growth, vendor satisfaction, and operational excellence across multiple countries. The candidate will own end-to-end vendor performance from joint business planning through execution, partnering with Retail category teams, Vendor Services and cross-functional stakeholders to unlock selection, merchandising, and revenue opportunities. The ideal candidate thrives in ambiguity, operates as a business owner who can identify growth levers and operationalize them across their team, and works across site merchandising, buying, inventory management, finance, operations, and marketing. They are at their best when building high-performing teams and delivering exceptional customer and vendor outcomes at scale.
Key job responsibilities
1. Lead and develop a team of Account Managers across multiple market places, setting clear priorities, removing blockers, and providing escalation support to drive vendor and category performance.
2. Own the business inputs for assigned product families, identifying levers to accelerate growth and improve end-customer experience.
3. Build and execute strategic joint business plans with vendors, driving new selection, merchandising, and operational improvement opportunities at scale.
4. Partner with in country Retail category teams, Vendor Services, and Operations to align on category priorities, close selection gaps, and execute promotional strategies.
5. Define and track success metrics - including GMS growth, vendor satisfaction, operational health, and team input metrics - establishing mechanisms for continuous improvement.
6. Develop data-driven processes, guardrails, and mechanisms to manage vendor complexity and enable efficient resource allocation across the team.
7. Identify and explore new emerging market places, act as a thought leader to support business growth along with in country partners.
8. Drive recruiting, talent development, and team culture - building a high-performing team that delivers results while raising the bar on operational standards.
About the team
The vision of RBS MVR team is "To unlock the full potential of every vendor on Amazon through an intelligent scaling engine, that transforms how we recruit, launch, and grow our partners to deliver unparalleled selection and value to customers worldwide".
Basic Qualifications
- Bachelor's degree
- Experience analyzing data and best practices to assess performance drivers
- Experience influencing internal and external stakeholders
- Experience using analytical, account management, and productivity tools, such as, Oracle Business Intelligence, SalesForce, Tableau, or similar
- 5+ years of retail or customer facing experience
Preferred Qualifications
- 4+ years of team management experience
- Experience successfully managing dynamic account portfolios
- MBA
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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Apply Now
0
AI Adoption & HR/ Change Management/ Workforce Transformation Consultant
560001 Bangalore Bazaar
NTT DATA
Posted today
Job Viewed
Job Description
Title: AI Adoption & HR/ Change Management/ Workforce Transformation Consultant
Location: Bangalore
JOB SUMMARY
AI Adoption & Workforce Transformation – plays a critical role in helping organisations reimagine the future of work through the application of agentic AI.
This role is focused on guiding clients through end-to-end workforce transformation journeys — from redefining how work is structured, to embedding AI-powered ways of working at scale. The individual will work closely with senior stakeholders to redesign workflows, uplift workforce capabilities, and drive meaningful adoption of AI tools across the enterprise.
Blending expertise from change management, learning, communications, and transformation, the AI Adoption & Workforce Transformation Senior Manager will design and deliver impactful experiences that help organisations transition from traditional work models to AI-enabled, human-centric operating models.
What we are looking for:
Change Management leaders with strong AI Adoption or workforce transformation expertise having proven success in large scale adoption of Copilot or an enterprise SaaS products
Excellent communicators with strong hold on comms artifacts (like emails, newsletters town halls), engaging with people. They also need to be well versed with artifacts like:
- Change impact analysis
- Training needs analysis
- Change plan / strategy
- People transformation strategy
- User guides
ROLES AND RESPONSIBILITIES
- Strategic Transformation Leadership:
- Lead client engagements focused on reimagining work, identifying opportunities to redesign roles, workflows, and operating models using agentic AI.
- Adoption & Change Strategy:
- Design and implement comprehensive adoption strategies to embed AI tools into daily workflows, ensuring sustained behaviour change and measurable impact.
- Workforce Redesign:
- Facilitate workshops and working sessions to help clients rethink how work gets done — shifting from task-based execution to AI-augmented, outcome-driven models.
- Client Engagement & Storytelling:
- Translate complex AI capabilities into clear, compelling narratives for business leaders and employees, enabling understanding and buy-in.
- Learning & Capability Building:
- Develop and deliver training, enablement programs, and experiential learning journeys to equip employees with the skills needed for the future of work.
- Program Delivery:
- Lead large-scale transformation initiatives across multiple stakeholders, ensuring alignment, momentum, and delivery of business outcomes.
- Innovation & Continuous Improvement:
- Continuously refine methodologies, frameworks, and playbooks for workforce transformation and AI adoption.
MANDATORY SKILLS
- Strong experience in organizational change, transformation, or workforce enablement
- Ability to facilitate senior-level workshops and drive strategic discussions
- Exceptional storytelling and communication skills
- Experience designing and delivering learning or adoption programs
- Strong stakeholder management across business and technology teams
- Ability to translate emerging technologies (especially AI) into business value
- High adaptability in fast-paced, ambiguous environments
- Experience in industry, consulting or large-scale enterprise transformation is a plus
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1
AI Adoption & HR/ Change Management/ Workforce Transformation Consultant
400001 Mumbai
NTT
Posted today
Job Viewed
Job Description
Title: AI Adoption & HR/ Change Management/ Workforce Transformation Consultant
Location: Mumbai/ Bangalore
JOB SUMMARY
AI Adoption & Workforce Transformation – plays a critical role in helping organisations reimagine the future of work through the application of agentic AI.
This role is focused on guiding clients through end-to-end workforce transformation journeys — from redefining how work is structured, to embedding AI-powered ways of working at scale. The individual will work closely with senior stakeholders to redesign workflows, uplift workforce capabilities, and drive meaningful adoption of AI tools across the enterprise.
Blending expertise from change management, learning, communications, and transformation, the AI Adoption & Workforce Transformation Senior Manager will design and deliver impactful experiences that help organisations transition from traditional work models to AI-enabled, human-centric operating models.
What we are looking for:
Change Management leaders with strong AI Adoption or workforce transformation expertise having proven success in large scale adoption of Copilot or an enterprise SaaS products
Excellent communicators with strong hold on comms artifacts (like emails, newsletters town halls), engaging with people. They also need to be well versed with artifacts like:
- Change impact analysis
- Training needs analysis
- Change plan / strategy
- People transformation strategy
- User guides
ROLES AND RESPONSIBILITIES
- Strategic Transformation Leadership:
- Lead client engagements focused on reimagining work, identifying opportunities to redesign roles, workflows, and operating models using agentic AI.
- Adoption & Change Strategy:
- Design and implement comprehensive adoption strategies to embed AI tools into daily workflows, ensuring sustained behaviour change and measurable impact.
- Workforce Redesign:
- Facilitate workshops and working sessions to help clients rethink how work gets done — shifting from task-based execution to AI-augmented, outcome-driven models.
- Client Engagement & Storytelling:
- Translate complex AI capabilities into clear, compelling narratives for business leaders and employees, enabling understanding and buy-in.
- Learning & Capability Building:
- Develop and deliver training, enablement programs, and experiential learning journeys to equip employees with the skills needed for the future of work.
- Program Delivery:
- Lead large-scale transformation initiatives across multiple stakeholders, ensuring alignment, momentum, and delivery of business outcomes.
- Innovation & Continuous Improvement:
- Continuously refine methodologies, frameworks, and playbooks for workforce transformation and AI adoption.
MANDATORY SKILLS
- Strong experience in organizational change, transformation, or workforce enablement
- Ability to facilitate senior-level workshops and drive strategic discussions
- Exceptional storytelling and communication skills
- Experience designing and delivering learning or adoption programs
- Strong stakeholder management across business and technology teams
- Ability to translate emerging technologies (especially AI) into business value
- High adaptability in fast-paced, ambiguous environments
- Experience in industry, consulting or large-scale enterprise transformation is a plus
Ideal Candidate Profile
- A seasoned professional a technology vertical in a consulting company driving large scale tech transformations & adoption
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Apply Now
2
Principal Cybersecurity Architect Identity & Access Management for AI Systems
Remote
GE Vernova
Posted 1 day ago
Job Viewed
Job Description
**Job Description Summary**
We are seeking a Principal Cybersecurity Architect to serve as a technical leader on identity and access management (IAM) for AI systems, large language models (LLMs), and autonomous AI agents. This is a position reserved for seasoned technical leaders who operate at the intersection of deep architecture expertise, enterprise-wide influence, and forward-looking security vision.
As a Principal Architect, you will not simply implement solutions - you will define the strategy, set the standards, and shape the future of how AI systems are secured across our enterprise. You will drive alignment across engineering, platform, and business teams, and your architectural decisions will have lasting impact.
You will serve as a key technical partner to our AI Foundry, embedding security-by-design principles into AI platforms and agent frameworks from inception. You will own the identity lifecycle for AI agents - from onboarding and certification through recertification and decommissioning - ensuring every AI entity operating in our environment is accountable, traceable, and governed under the principle of least privilege.
Principal Architects at our organization are recognized technical leaders. You will be expected to drive clarity in ambiguous problem spaces, influence without authority across organizational boundaries, mentor the next generation of security architects, and represent our security posture in executive and cross-functional forums. If you are energized by solving security challenges that have no playbook yet - and by building the playbook yourself - this role is for you.
**Job Description**
**Key Responsibilities**
**Technical Leadership & Strategy**
- Enterprise Vision: Act as the primary authority on AI identity security, providing guidance to executive leadership and engineering teams.
- Cross-Functional Alignment: Drive strategy across cybersecurity, cloud platforms, GRC, legal, and business units.
- Thought Leadership: Represent the organization in external forums, industry working groups, and vendor discussions regarding AI security standards.
- Architecture Ownership: Define the long-term IAM architecture for AI systems and agents in cloud and hybrid environments, establishing reusable patterns and reference designs.
**AI Agent Lifecycle & Governance**
- Identity Management: Oversee the full lifecycle for AI agents, from initial onboarding and cryptographic identity assignment to decommissioning.
- Accountability: Maintain an unbroken chain of human ownership and traceability for all autonomous agents.
- Access Control: Architect and enforce the Principle of Least Privilege (PoLP), Just-in Time (JIT), and Just-Enough-Access (JEA) patterns for AI workloads.
- Compliance: Partner with GRC and privacy teams to ensure AI agent governance meets rigorous regulatory requirements.
**Required Qualifications**
- Experience: 12+ years in cybersecurity, with a heavy emphasis on IAM.
- Senior Leadership: 7+ years in Principal/Senior Architect roles for large-scale enterprise or cloud-native environments.
- Cloud Expertise: Expert-level knowledge of AWS IAM (roles, policies, SCPs, federation) and AWS Identity Center.
- AI Security: Proficiency with AWS Bedrock Identity/AgentCore and similar frameworks.
- Conceptual Depth: Expert understanding of Zero Trust architecture and its application to AI/agentic workloads.
- Communication: Exceptional ability to distill complex technical risks for executive stakeholders.
**Preferred Qualifications**
- Multicloud: Experience with Microsoft Azure IAM (Entra ID, Managed Identities, Azure AI). - Governance Tools: Familiarity with IGA technologies (e.g., Saviyant) and NHI (Non Human Identity) governance.
- Agentic Security: Knowledge of LLM-specific threats (OWASP LLM Top 10) and prompt injection mitigation.
- Frameworks: Understanding of SPIFFE/SPIRE for workload identity. - Certifications: AWS Certified Security - Specialty, CISSP, CISM, or CCSP.
**The First 12 Months: Measuring Success**
- 30 Days: Establish core partnerships with AI Foundry and engineering leads.
- 60 Days: Complete an authoritative assessment of the current AI IAM risk posture.
- 90 Days: Publish the AI agent identity lifecycle framework and enterprise standards.
- 8-12 Months: Scale governance, implement recurring recertification campaigns, and integrate full IAM controls into the AI Foundry delivery pipeline.
**Additional Information**
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer ( . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
**Relocation Assistance Provided:** No
\#LI-Remote - This is a remote position
Application Deadline: August 17, 2026
For candidates applying to a U.S. based position, the pay range for this position is between $165,800.00 and $276,200.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.
Bonus eligibility: discretionary annual bonus.
This posting is expected to remain open for at least seven days after it was posted on July 22, 2026.
Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.
GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
We are seeking a Principal Cybersecurity Architect to serve as a technical leader on identity and access management (IAM) for AI systems, large language models (LLMs), and autonomous AI agents. This is a position reserved for seasoned technical leaders who operate at the intersection of deep architecture expertise, enterprise-wide influence, and forward-looking security vision.
As a Principal Architect, you will not simply implement solutions - you will define the strategy, set the standards, and shape the future of how AI systems are secured across our enterprise. You will drive alignment across engineering, platform, and business teams, and your architectural decisions will have lasting impact.
You will serve as a key technical partner to our AI Foundry, embedding security-by-design principles into AI platforms and agent frameworks from inception. You will own the identity lifecycle for AI agents - from onboarding and certification through recertification and decommissioning - ensuring every AI entity operating in our environment is accountable, traceable, and governed under the principle of least privilege.
Principal Architects at our organization are recognized technical leaders. You will be expected to drive clarity in ambiguous problem spaces, influence without authority across organizational boundaries, mentor the next generation of security architects, and represent our security posture in executive and cross-functional forums. If you are energized by solving security challenges that have no playbook yet - and by building the playbook yourself - this role is for you.
**Job Description**
**Key Responsibilities**
**Technical Leadership & Strategy**
- Enterprise Vision: Act as the primary authority on AI identity security, providing guidance to executive leadership and engineering teams.
- Cross-Functional Alignment: Drive strategy across cybersecurity, cloud platforms, GRC, legal, and business units.
- Thought Leadership: Represent the organization in external forums, industry working groups, and vendor discussions regarding AI security standards.
- Architecture Ownership: Define the long-term IAM architecture for AI systems and agents in cloud and hybrid environments, establishing reusable patterns and reference designs.
**AI Agent Lifecycle & Governance**
- Identity Management: Oversee the full lifecycle for AI agents, from initial onboarding and cryptographic identity assignment to decommissioning.
- Accountability: Maintain an unbroken chain of human ownership and traceability for all autonomous agents.
- Access Control: Architect and enforce the Principle of Least Privilege (PoLP), Just-in Time (JIT), and Just-Enough-Access (JEA) patterns for AI workloads.
- Compliance: Partner with GRC and privacy teams to ensure AI agent governance meets rigorous regulatory requirements.
**Required Qualifications**
- Experience: 12+ years in cybersecurity, with a heavy emphasis on IAM.
- Senior Leadership: 7+ years in Principal/Senior Architect roles for large-scale enterprise or cloud-native environments.
- Cloud Expertise: Expert-level knowledge of AWS IAM (roles, policies, SCPs, federation) and AWS Identity Center.
- AI Security: Proficiency with AWS Bedrock Identity/AgentCore and similar frameworks.
- Conceptual Depth: Expert understanding of Zero Trust architecture and its application to AI/agentic workloads.
- Communication: Exceptional ability to distill complex technical risks for executive stakeholders.
**Preferred Qualifications**
- Multicloud: Experience with Microsoft Azure IAM (Entra ID, Managed Identities, Azure AI). - Governance Tools: Familiarity with IGA technologies (e.g., Saviyant) and NHI (Non Human Identity) governance.
- Agentic Security: Knowledge of LLM-specific threats (OWASP LLM Top 10) and prompt injection mitigation.
- Frameworks: Understanding of SPIFFE/SPIRE for workload identity. - Certifications: AWS Certified Security - Specialty, CISSP, CISM, or CCSP.
**The First 12 Months: Measuring Success**
- 30 Days: Establish core partnerships with AI Foundry and engineering leads.
- 60 Days: Complete an authoritative assessment of the current AI IAM risk posture.
- 90 Days: Publish the AI agent identity lifecycle framework and enterprise standards.
- 8-12 Months: Scale governance, implement recurring recertification campaigns, and integrate full IAM controls into the AI Foundry delivery pipeline.
**Additional Information**
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer ( . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
**Relocation Assistance Provided:** No
\#LI-Remote - This is a remote position
Application Deadline: August 17, 2026
For candidates applying to a U.S. based position, the pay range for this position is between $165,800.00 and $276,200.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.
Bonus eligibility: discretionary annual bonus.
This posting is expected to remain open for at least seven days after it was posted on July 22, 2026.
Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.
GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Is this job a match or a miss?
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3
Senior Manager - Data & AI Solution Management
Bengaluru
Fresenius Medical Care
Posted 5 days ago
Job Viewed
Job Description
**Sr. Manager - Data & AI Solution Management**
**Role Overview**
The **Sr. Manager - Data & AI Solution Management** is a people leadership and execution role responsible for building, leading, and scaling a high-performing multidisciplinary data and AI COE in Global Business Services. This role oversees end-to-end service delivery and maintenance of enterprise data, analytics, AI/ML, and Generative AI solutions, ensuring alignment with business priorities, governance standards, and modern cloud architectures.
The position manages a team of **senior professionals across analytics, engineering, AI, governance, and service management** , driving service delivery while ensuring operational excellence, scalability, and responsible AI practices across AWS and Azure ecosystems.
**Key Responsibilities**
**1. Strategic Leadership & Delivery**
+ Define and execute the enterprise **Data & AI strategy** , aligned with business goals and digital transformation initiatives.
+ Lead the design and delivery of **end-to-end data, analytics, ML, and GenAI solutions** , ensuring business value realization.
+ Establish scalable frameworks for **AI/ML, data platforms, analytics, and governance** across the organization.
+ Drive adoption of **modern data architecture patterns** including cloud-native, multi-cloud, and hybrid ecosystems.
**2. Team Leadership & Talent Development**
+ Lead, mentor, and develop a team of a medium group senior professionals across data, AI, engineering, and analytics domains.
+ Build a high-performance culture focused on **innovation, accountability, and continuous improvement** .
+ Define career paths, skill development, and succession planning for all roles.
+ Foster cross-functional collaboration between business, engineering, and analytics teams.
**3. Data & AI Solution Delivery Oversight**
+ Oversee delivery of solutions:
+ **Data engineering pipelines and platforms** (Databricks, Snowflake, AWS, Azure)
+ **Data modeling and architecture frameworks**
+ **Advanced analytics and BI solutions**
+ **Machine Learning and Generative AI solutions (LLMs, RAG, copilots)**
+ Ensure integration of solutions into enterprise systems and workflows.
+ Drive **Agile delivery models** and ensure timely, high-quality releases.
**4. AI, ML & GenAI Enablement**
+ Establish scalable practices for:
+ Machine Learning lifecycle (MLOps)
+ Generative AI solution design (prompt engineering, RAG architectures)
+ AI evaluation, monitoring, and optimization
+ Ensure AI initiatives are:
+ Business-driven
+ Measurable
+ Production-ready
+ Partner with teams to embed AI capabilities into enterprise applications.
**5. Data Governance, Quality & Compliance**
+ Ensure robust implementation of:
+ Data governance frameworks (metadata, lineage, cataloging)
+ Data quality and monitoring standards
+ Security, privacy, and regulatory compliance controls
+ Promote **trusted, governed, and high-quality data assets** across the organization.
+ Enable **responsible AI practices** including explainability, fairness, and compliance.
**6. Stakeholder Engagement & Business Alignment**
+ Act as a **trusted advisor** to business and technology leaders.
+ Translate complex business needs into scalable data and AI solutions.
+ Drive adoption and value realization of delivered solutions.
+ Lead executive reporting on program progress, outcomes, and KPIs.
**7. Platform, Architecture & Technology Oversight**
+ Govern enterprise data and AI platforms including:
+ Databricks, Snowflake
+ AWS and Azure data services
+ SageMaker, Amazon Bedrock, Azure OpenAI
+ Ensure solutions are:
+ Scalable, secure, and cost-efficient
+ Designed for performance and reliability
+ Drive standardization, automation, and DevOps/CI-CD practices.
**8. Service Management & Operational Excellence**
+ Partner with the **DAIS Sr. Service Manager** to ensure:
+ Stable operations of data and AI platforms
+ SLA adherence and incident management
+ Continuous improvement and monitoring frameworks
+ Implement metrics-driven service management practices.
**Required Skills & Experience**
**Leadership & Functional Expertise**
+ 12-15+ years of experience in **data, analytics, AI/ML, or engineering roles** , with at least 5+ years in leadership positions.
+ Proven experience managing **cross-functional teams across data, analytics, and AI domains** .
+ Strong understanding of:
+ Data engineering, modeling, and analytics
+ Machine learning and MLOps
+ Generative AI (LLMs, RAG, copilots)
+ Data governance and compliance frameworks
**Technical Expertise**
+ Hands-on knowledge of:
+ Cloud platforms: **AWS and/or Azure**
+ Data platforms: **Databricks, Snowflake**
+ AI/ML platforms: **SageMaker, Azure ML, Bedrock**
+ Familiarity with:
+ Data pipelines, ETL/ELT, and streaming architectures
+ Data modeling techniques (dimensional, relational, etc.)
+ AI/ML lifecycle, model evaluation, and deployment
+ Governance tools, metadata, and lineage frameworks
**Business & Stakeholder Skills**
+ Strong ability to **translate business problems into technical solutions** .
+ Excellent communication and executive presentation skills.
+ Proven ability to influence senior stakeholders and drive transformation.
+ Experience working in **Agile and product-driven environments** .
**Education**
+ Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or related field.
+ Master's degree (MBA, Data Science, Analytics, or similar) preferred.
**Role Overview**
The **Sr. Manager - Data & AI Solution Management** is a people leadership and execution role responsible for building, leading, and scaling a high-performing multidisciplinary data and AI COE in Global Business Services. This role oversees end-to-end service delivery and maintenance of enterprise data, analytics, AI/ML, and Generative AI solutions, ensuring alignment with business priorities, governance standards, and modern cloud architectures.
The position manages a team of **senior professionals across analytics, engineering, AI, governance, and service management** , driving service delivery while ensuring operational excellence, scalability, and responsible AI practices across AWS and Azure ecosystems.
**Key Responsibilities**
**1. Strategic Leadership & Delivery**
+ Define and execute the enterprise **Data & AI strategy** , aligned with business goals and digital transformation initiatives.
+ Lead the design and delivery of **end-to-end data, analytics, ML, and GenAI solutions** , ensuring business value realization.
+ Establish scalable frameworks for **AI/ML, data platforms, analytics, and governance** across the organization.
+ Drive adoption of **modern data architecture patterns** including cloud-native, multi-cloud, and hybrid ecosystems.
**2. Team Leadership & Talent Development**
+ Lead, mentor, and develop a team of a medium group senior professionals across data, AI, engineering, and analytics domains.
+ Build a high-performance culture focused on **innovation, accountability, and continuous improvement** .
+ Define career paths, skill development, and succession planning for all roles.
+ Foster cross-functional collaboration between business, engineering, and analytics teams.
**3. Data & AI Solution Delivery Oversight**
+ Oversee delivery of solutions:
+ **Data engineering pipelines and platforms** (Databricks, Snowflake, AWS, Azure)
+ **Data modeling and architecture frameworks**
+ **Advanced analytics and BI solutions**
+ **Machine Learning and Generative AI solutions (LLMs, RAG, copilots)**
+ Ensure integration of solutions into enterprise systems and workflows.
+ Drive **Agile delivery models** and ensure timely, high-quality releases.
**4. AI, ML & GenAI Enablement**
+ Establish scalable practices for:
+ Machine Learning lifecycle (MLOps)
+ Generative AI solution design (prompt engineering, RAG architectures)
+ AI evaluation, monitoring, and optimization
+ Ensure AI initiatives are:
+ Business-driven
+ Measurable
+ Production-ready
+ Partner with teams to embed AI capabilities into enterprise applications.
**5. Data Governance, Quality & Compliance**
+ Ensure robust implementation of:
+ Data governance frameworks (metadata, lineage, cataloging)
+ Data quality and monitoring standards
+ Security, privacy, and regulatory compliance controls
+ Promote **trusted, governed, and high-quality data assets** across the organization.
+ Enable **responsible AI practices** including explainability, fairness, and compliance.
**6. Stakeholder Engagement & Business Alignment**
+ Act as a **trusted advisor** to business and technology leaders.
+ Translate complex business needs into scalable data and AI solutions.
+ Drive adoption and value realization of delivered solutions.
+ Lead executive reporting on program progress, outcomes, and KPIs.
**7. Platform, Architecture & Technology Oversight**
+ Govern enterprise data and AI platforms including:
+ Databricks, Snowflake
+ AWS and Azure data services
+ SageMaker, Amazon Bedrock, Azure OpenAI
+ Ensure solutions are:
+ Scalable, secure, and cost-efficient
+ Designed for performance and reliability
+ Drive standardization, automation, and DevOps/CI-CD practices.
**8. Service Management & Operational Excellence**
+ Partner with the **DAIS Sr. Service Manager** to ensure:
+ Stable operations of data and AI platforms
+ SLA adherence and incident management
+ Continuous improvement and monitoring frameworks
+ Implement metrics-driven service management practices.
**Required Skills & Experience**
**Leadership & Functional Expertise**
+ 12-15+ years of experience in **data, analytics, AI/ML, or engineering roles** , with at least 5+ years in leadership positions.
+ Proven experience managing **cross-functional teams across data, analytics, and AI domains** .
+ Strong understanding of:
+ Data engineering, modeling, and analytics
+ Machine learning and MLOps
+ Generative AI (LLMs, RAG, copilots)
+ Data governance and compliance frameworks
**Technical Expertise**
+ Hands-on knowledge of:
+ Cloud platforms: **AWS and/or Azure**
+ Data platforms: **Databricks, Snowflake**
+ AI/ML platforms: **SageMaker, Azure ML, Bedrock**
+ Familiarity with:
+ Data pipelines, ETL/ELT, and streaming architectures
+ Data modeling techniques (dimensional, relational, etc.)
+ AI/ML lifecycle, model evaluation, and deployment
+ Governance tools, metadata, and lineage frameworks
**Business & Stakeholder Skills**
+ Strong ability to **translate business problems into technical solutions** .
+ Excellent communication and executive presentation skills.
+ Proven ability to influence senior stakeholders and drive transformation.
+ Experience working in **Agile and product-driven environments** .
**Education**
+ Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or related field.
+ Master's degree (MBA, Data Science, Analytics, or similar) preferred.
Is this job a match or a miss?
Apply Now
4
Required. Automation & AI Operations (Incident Management) Automation & AI Operations (Incident Ma
Bangalore
NTT America, Inc.
Posted 5 days ago
Job Viewed
Job Description
**Req ID:**
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Required. Automation & AI Operations (Incident Management) Automation & AI Operations (Incident Ma to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
**Staff Engineer - Automation & AI Operations (Incident Management)**
**Location:** India
**About the Role**
We are seeking a highly motivated **Staff Engineer - Automation & AI Operations** to lead automation incident management, operational excellence, and continuous improvement initiatives across our automation landscape. This role combines strong automation expertise (70%) with emerging AI capabilities (30%) to ensure reliable, scalable, and business-aligned automation services.
As the primary owner of automation operations and incident management, you will work closely with support teams, developers, business stakeholders, and platform owners to resolve incidents, optimize automation performance, and drive operational efficiency through intelligent automation solutions.
**Key Responsibilities**
**Incident Management & Operational Support**
+ Serve as the primary point of contact for all automation-related incidents.
+ Manage, assign, track, and follow up on incidents to ensure timely resolution.
+ Collaborate hands-on with support and incident response teams to troubleshoot and resolve issues.
+ Ensure all incidents are documented, monitored, and resolved according to established operational procedures.
+ Maintain SLA compliance through effective incident handling, root cause analysis, and corrective actions.
+ Conduct monitoring, testing, and validation activities for automation deployments and platform upgrades.
+ Communicate incident status, risks, and resolution plans to business stakeholders and end users.
+ Ensure all support requests are managed through ServiceNow, with email and chat support limited to emergency escalations.
**Reporting & Governance**
+ Prepare and present daily operational reports covering:
+ Automation executions and failures
+ Incident priorities and ownership
+ Resolution progress and estimated timelines
+ Open and pending issues
+ Provide regular updates on incident trends, operational health, and automation performance.
+ Deliver meaningful KPIs, dashboards, and executive summaries tailored for both technical and non-technical audiences.
+ Ensure transparency and visibility of automation performance across business functions.
**Automation Strategy & Continuous Improvement**
+ Analyze automation failure trends and identify recurring problem areas.
+ Develop strategies to reduce incidents and improve automation stability.
+ Drive implementation of high-quality fixes and preventive measures.
+ Design and build internal automations that eliminate repetitive operational and administrative tasks.
+ Evaluate automation opportunities through proof-of-value assessments and ROI analysis.
+ Track measurable outcomes including time savings, productivity gains, and ticket reduction.
+ Promote innovation, automation best practices, and knowledge sharing across teams.
**Automation Enhancements & Optimization**
+ Own enhancement activities for existing automation solutions.
+ Identify opportunities for optimization based on:
+ Failure analysis
+ Business feedback
+ Platform capabilities
+ Application changes
+ Refactor and improve automation solutions to reduce technical debt and improve maintainability.
+ Ensure all enhancements are documented, tested, approved, and deployed through controlled change management processes.
+ Maintain the same governance, testing, and compliance standards for enhancements as for new automation deployments.
**Collaboration & Leadership**
+ Partner with developers, business analysts, SMEs, and platform teams to resolve complex operational issues.
+ Coordinate with automation operations teams to ensure effective support coverage.
+ Mentor and guide team members on incident management best practices and operational excellence.
+ Contribute to continuous improvement of support methodologies, standards, and procedures.
**Required Qualifications**
**Technical Skills**
+ 7+ years of strong hands-on experience with automation technologies including:
+ UiPath (including Agentic Automation capabilities)
+ Microsoft Power Automate
+ Python
+ API integrations
+ 3 to 5 years of experience with AI/ML technologies and AI-enabled automation solutions.
+ 3 to 5 years of working knowledge of cloud platforms:
+ Microsoft Azure
+ Amazon Web Services (AWS)
+ Databricks
+ Strong coding, debugging, testing, and troubleshooting skills.
+ Experience integrating AI services with automation workflows.
**Operational & Analytical Skills**
+ Proven experience managing automation incidents in enterprise environments.
+ Strong root cause analysis and problem-solving capabilities.
+ Experience defining and managing operational KPIs, SLAs, and performance metrics.
+ Ability to drive process improvements and operational maturity initiatives.
**Communication & Leadership**
+ Excellent verbal and written communication skills.
+ Ability to communicate technical concepts effectively to business stakeholders.
+ Experience working within structured project management frameworks.
+ Demonstrated leadership, mentoring, and stakeholder management skills.
**Preferred Experience**
+ 3 to 5 years of experience supporting large-scale RPA and intelligent automation environments.
+ 1 to 3 years of exposure to AI-powered automation, GenAI, and Agentic AI solutions.
+ 1 to 3 years of knowledge of ITSM processes and ServiceNow.
+ Experience with automation monitoring, observability, and operational analytics.
+ Familiarity with DevOps, CI/CD, and automation governance frameworks.
**Success Measures**
+ Reduction in automation-related incidents and recurring failures.
+ Improved SLA compliance and incident resolution times.
+ Increased automation stability and platform reliability.
+ Measurable productivity improvements through automation enhancements.
+ Strong stakeholder satisfaction and operational transparency.
+ Continuous delivery of optimization opportunities and business value.
**About NTT DATA**
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Required. Automation & AI Operations (Incident Management) Automation & AI Operations (Incident Ma to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
**Staff Engineer - Automation & AI Operations (Incident Management)**
**Location:** India
**About the Role**
We are seeking a highly motivated **Staff Engineer - Automation & AI Operations** to lead automation incident management, operational excellence, and continuous improvement initiatives across our automation landscape. This role combines strong automation expertise (70%) with emerging AI capabilities (30%) to ensure reliable, scalable, and business-aligned automation services.
As the primary owner of automation operations and incident management, you will work closely with support teams, developers, business stakeholders, and platform owners to resolve incidents, optimize automation performance, and drive operational efficiency through intelligent automation solutions.
**Key Responsibilities**
**Incident Management & Operational Support**
+ Serve as the primary point of contact for all automation-related incidents.
+ Manage, assign, track, and follow up on incidents to ensure timely resolution.
+ Collaborate hands-on with support and incident response teams to troubleshoot and resolve issues.
+ Ensure all incidents are documented, monitored, and resolved according to established operational procedures.
+ Maintain SLA compliance through effective incident handling, root cause analysis, and corrective actions.
+ Conduct monitoring, testing, and validation activities for automation deployments and platform upgrades.
+ Communicate incident status, risks, and resolution plans to business stakeholders and end users.
+ Ensure all support requests are managed through ServiceNow, with email and chat support limited to emergency escalations.
**Reporting & Governance**
+ Prepare and present daily operational reports covering:
+ Automation executions and failures
+ Incident priorities and ownership
+ Resolution progress and estimated timelines
+ Open and pending issues
+ Provide regular updates on incident trends, operational health, and automation performance.
+ Deliver meaningful KPIs, dashboards, and executive summaries tailored for both technical and non-technical audiences.
+ Ensure transparency and visibility of automation performance across business functions.
**Automation Strategy & Continuous Improvement**
+ Analyze automation failure trends and identify recurring problem areas.
+ Develop strategies to reduce incidents and improve automation stability.
+ Drive implementation of high-quality fixes and preventive measures.
+ Design and build internal automations that eliminate repetitive operational and administrative tasks.
+ Evaluate automation opportunities through proof-of-value assessments and ROI analysis.
+ Track measurable outcomes including time savings, productivity gains, and ticket reduction.
+ Promote innovation, automation best practices, and knowledge sharing across teams.
**Automation Enhancements & Optimization**
+ Own enhancement activities for existing automation solutions.
+ Identify opportunities for optimization based on:
+ Failure analysis
+ Business feedback
+ Platform capabilities
+ Application changes
+ Refactor and improve automation solutions to reduce technical debt and improve maintainability.
+ Ensure all enhancements are documented, tested, approved, and deployed through controlled change management processes.
+ Maintain the same governance, testing, and compliance standards for enhancements as for new automation deployments.
**Collaboration & Leadership**
+ Partner with developers, business analysts, SMEs, and platform teams to resolve complex operational issues.
+ Coordinate with automation operations teams to ensure effective support coverage.
+ Mentor and guide team members on incident management best practices and operational excellence.
+ Contribute to continuous improvement of support methodologies, standards, and procedures.
**Required Qualifications**
**Technical Skills**
+ 7+ years of strong hands-on experience with automation technologies including:
+ UiPath (including Agentic Automation capabilities)
+ Microsoft Power Automate
+ Python
+ API integrations
+ 3 to 5 years of experience with AI/ML technologies and AI-enabled automation solutions.
+ 3 to 5 years of working knowledge of cloud platforms:
+ Microsoft Azure
+ Amazon Web Services (AWS)
+ Databricks
+ Strong coding, debugging, testing, and troubleshooting skills.
+ Experience integrating AI services with automation workflows.
**Operational & Analytical Skills**
+ Proven experience managing automation incidents in enterprise environments.
+ Strong root cause analysis and problem-solving capabilities.
+ Experience defining and managing operational KPIs, SLAs, and performance metrics.
+ Ability to drive process improvements and operational maturity initiatives.
**Communication & Leadership**
+ Excellent verbal and written communication skills.
+ Ability to communicate technical concepts effectively to business stakeholders.
+ Experience working within structured project management frameworks.
+ Demonstrated leadership, mentoring, and stakeholder management skills.
**Preferred Experience**
+ 3 to 5 years of experience supporting large-scale RPA and intelligent automation environments.
+ 1 to 3 years of exposure to AI-powered automation, GenAI, and Agentic AI solutions.
+ 1 to 3 years of knowledge of ITSM processes and ServiceNow.
+ Experience with automation monitoring, observability, and operational analytics.
+ Familiarity with DevOps, CI/CD, and automation governance frameworks.
**Success Measures**
+ Reduction in automation-related incidents and recurring failures.
+ Improved SLA compliance and incident resolution times.
+ Increased automation stability and platform reliability.
+ Measurable productivity improvements through automation enhancements.
+ Strong stakeholder satisfaction and operational transparency.
+ Continuous delivery of optimization opportunities and business value.
**About NTT DATA**
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**
Is this job a match or a miss?
Apply Now
5
Sr. Associate Cyber Security - Vulnerability Management AI
Bengaluru
AT&T
Posted 5 days ago
Job Viewed
Job Description
**About the Company:**
Join AT&T and reimagine the communications and technologies that connect the world. Our Chief Security Office ensures that our assets are safeguarded through truthful transparency, enforce accountability and master cybersecurity to stay ahead of threats. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won't just imagine the future-you'll create it.
**About the Job:**
The Senior Associate Cyber Security is responsible for supporting the AI enabled Vulnerability management from AT&T India. The team member collaborates with US and India Cyber Security teams to develop, implement and operationalize AI enabled VM capabilities in Application Security and Infrastructure Security in a DevSecOps framework.
**Roles & Responsibilities** :
+ **Develop next-generation AI capabilities** for detection, analysis, mitigation, and response
+ **Partner directly with Engineering & Operations teams** (incident response, security engineering, cloud security, insider threat, etc.) to accelerate delivery
+ **Collaborate with other Cyber teams, Policy & Compliance, and Tech Risk** to ensure alignment, scalability, and governance of solutions
+ **Break down complex problems** and unblock execution at critical moments
+ **Serve as a technical and strategic sounding board** across the organization
+ **Bridge innovation and operationalization** to ensure capabilities are production-ready and adopted at scale
**Experience Level:** 4+ years.
**Location:** Hyderabad / Bengaluru
**Primary / Mandatory Skills:**
+ Overall - at least 4+ years of experience in performing security engineering in application and infrastructure vulnerability management.
+ 3+ years of experience in application and infrastructure penetration testing.
+ 1+ years of experience in assessments of complex systems with AI / ML / Data Science capabilities and services.
+ Deployment and operation of tools and processes to analyze security threats and vulnerabilities in DevSecOps.
+ Awareness of AI-driven risks (e.g., adversarial ML, data poisoning, model hallucination) and their mitigation within enterprise environments.
+ Ability to perform Incident management.
+ Ability to design and implement strategies to AI systems from cyber-attacks.
+ Ability to design and implement adversarial test plans.
+ Strong analytical and problem-solving skills.
+ Excellent communication skills, both written and verbal, with the ability to convey complex information in a clear and concise manner.
+ A commitment to staying current with the latest developments in cybersecurity through ongoing training and professional development.
+ Ability to work both independently and as part of a team in a fast-paced, dynamic environment.
+ Operate with urgency in high-stakes environments.
+ Solve complex, ambiguous problems without defined playbooks.
+ Engage across organizational boundaries.
+ Deliver outcomes-not concepts or prototypes alone.
+ Raise the standard for execution across the broader organization.
+ Flexible to provide coverage in US morning hours on a need-basis, and as required.
**Desirable skills:**
+ Bachelor's or master's degree in computer science, mathematics, information systems, engineering, or cybersecurity.
+ Industry certifications such as CISSP, SANS and/or other relevant certifications
+ Understanding of LLM, prompt engineering, or AI governance frameworks (e.g., NIST AI RMF, EU AI Act readiness) is a plus.
+ Ability to work independently and as part of a team.
**Additional information (if any):** Flexible to provide coverage in US morning hours on a need-basis, and as required.
**Weekly Hours:**
40
**Time Type:**
Regular
**Location:**
Bangalore, India, Hyderabad, India
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws
We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status
Join AT&T and reimagine the communications and technologies that connect the world. Our Chief Security Office ensures that our assets are safeguarded through truthful transparency, enforce accountability and master cybersecurity to stay ahead of threats. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won't just imagine the future-you'll create it.
**About the Job:**
The Senior Associate Cyber Security is responsible for supporting the AI enabled Vulnerability management from AT&T India. The team member collaborates with US and India Cyber Security teams to develop, implement and operationalize AI enabled VM capabilities in Application Security and Infrastructure Security in a DevSecOps framework.
**Roles & Responsibilities** :
+ **Develop next-generation AI capabilities** for detection, analysis, mitigation, and response
+ **Partner directly with Engineering & Operations teams** (incident response, security engineering, cloud security, insider threat, etc.) to accelerate delivery
+ **Collaborate with other Cyber teams, Policy & Compliance, and Tech Risk** to ensure alignment, scalability, and governance of solutions
+ **Break down complex problems** and unblock execution at critical moments
+ **Serve as a technical and strategic sounding board** across the organization
+ **Bridge innovation and operationalization** to ensure capabilities are production-ready and adopted at scale
**Experience Level:** 4+ years.
**Location:** Hyderabad / Bengaluru
**Primary / Mandatory Skills:**
+ Overall - at least 4+ years of experience in performing security engineering in application and infrastructure vulnerability management.
+ 3+ years of experience in application and infrastructure penetration testing.
+ 1+ years of experience in assessments of complex systems with AI / ML / Data Science capabilities and services.
+ Deployment and operation of tools and processes to analyze security threats and vulnerabilities in DevSecOps.
+ Awareness of AI-driven risks (e.g., adversarial ML, data poisoning, model hallucination) and their mitigation within enterprise environments.
+ Ability to perform Incident management.
+ Ability to design and implement strategies to AI systems from cyber-attacks.
+ Ability to design and implement adversarial test plans.
+ Strong analytical and problem-solving skills.
+ Excellent communication skills, both written and verbal, with the ability to convey complex information in a clear and concise manner.
+ A commitment to staying current with the latest developments in cybersecurity through ongoing training and professional development.
+ Ability to work both independently and as part of a team in a fast-paced, dynamic environment.
+ Operate with urgency in high-stakes environments.
+ Solve complex, ambiguous problems without defined playbooks.
+ Engage across organizational boundaries.
+ Deliver outcomes-not concepts or prototypes alone.
+ Raise the standard for execution across the broader organization.
+ Flexible to provide coverage in US morning hours on a need-basis, and as required.
**Desirable skills:**
+ Bachelor's or master's degree in computer science, mathematics, information systems, engineering, or cybersecurity.
+ Industry certifications such as CISSP, SANS and/or other relevant certifications
+ Understanding of LLM, prompt engineering, or AI governance frameworks (e.g., NIST AI RMF, EU AI Act readiness) is a plus.
+ Ability to work independently and as part of a team.
**Additional information (if any):** Flexible to provide coverage in US morning hours on a need-basis, and as required.
**Weekly Hours:**
40
**Time Type:**
Regular
**Location:**
Bangalore, India, Hyderabad, India
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws
We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status
Is this job a match or a miss?
Apply Now
6
Translational Data Management, Automation, & AI Engineer
Hyderabad
Amgen
Posted 5 days ago
Job Viewed
Job Description
**Location:** Amgen India office, Hyderabad
**Employment type:** Full-time
**Department / Team:** Computational Biology team, Precision Medicine
**High-level role**
We are seeking a hands-on, technically strong **Translational Data Management, Automation, & AI Engineer** to design, build, and operate robust biomarker and clinical data ingestion pipelines that feed our biomarker platform. You will work closely with computational biologists, translational scientists, data scientists, lab operations, and external vendors/contract research organizations (CROs) to ensure timely, accurate, and standardized ingestion of assay and clinical data for analysis, visualization, and machine-learning use cases supporting clinical trials.
**Key responsibilities**
+ Design, implement, test, deploy, and maintain end-to-end data ingestion pipelines that prepare biomarker and clinical data for downstream analytics, visualization, and ML models.
+ Implement automated data validation, quality control checks, error handling, and remediation workflows to ensure data quality and traceability.
+ Integrate Codex workflows, agentic automation and generative AI to meet TAT and efficiency goals.
+ Collaborate with internal biomarker labs and CROs/vendors to onboard new assays; author and maintain data transfer specifications, interface control documents, and acceptance criteria.
+ Build and maintain harmonization and mapping logic (units, controlled terminology, ontologies) and data models needed to standardize biomarker and clinical datasets.
+ Generate study-specific analysis bundle per request in defined timeline.
+ Produce and maintain clear documentation: software specification forms, data definition tables, runbooks, and onboarding guides.
+ Write clean, tested, maintainable Python code and contribute to CI/CD pipelines, automated testing, and release processes.
**Required qualifications**
**Education & experience**
+ 8+ years of experience with Bachelor's in Computational Biology, Bioinformatics, AI, Computer Science, Data Engineering, or related field. PhD is a plus.
+ 3+ years of experience in data engineering or platform engineering roles; experience working with biomarker/biological/clinical data or in a clinical research environment is highly desirable.
**Technical skills**
+ **Strong programming skills in Python and database design. Experience with Databricks**
+ **Experience with workflow/orchestration tools (e.g., Airflow, Nextflow, snakemake).**
+ **Experience with agentic automation and formulation of AI workflow development and deployment, agentic automation tools and Codex workflows.**
+ **Familiarity with HPC, cloud platforms and storage (e.g., AWS) and best practices for secure data handling.**
+ **Experience with version control (Git), CI/CD, containerization (Docker)**
+ **Knowledge of clinical data formats and standards (e.g., CDISC/SDTM/ADaM).**
+ **Experience working with clinical labs, biomarker assays (immunoassay, flow cytometry, immunohistochemistry, proteomics, whole genome sequencing, exome sequencing, RNA-seq, methylation, metabolomics)**
+ Familiarity with data standardization and harmonization frameworks, controlled vocabularies
+ Experience building, testing and debugging R pipelines for production data processing.
**Employment type:** Full-time
**Department / Team:** Computational Biology team, Precision Medicine
**High-level role**
We are seeking a hands-on, technically strong **Translational Data Management, Automation, & AI Engineer** to design, build, and operate robust biomarker and clinical data ingestion pipelines that feed our biomarker platform. You will work closely with computational biologists, translational scientists, data scientists, lab operations, and external vendors/contract research organizations (CROs) to ensure timely, accurate, and standardized ingestion of assay and clinical data for analysis, visualization, and machine-learning use cases supporting clinical trials.
**Key responsibilities**
+ Design, implement, test, deploy, and maintain end-to-end data ingestion pipelines that prepare biomarker and clinical data for downstream analytics, visualization, and ML models.
+ Implement automated data validation, quality control checks, error handling, and remediation workflows to ensure data quality and traceability.
+ Integrate Codex workflows, agentic automation and generative AI to meet TAT and efficiency goals.
+ Collaborate with internal biomarker labs and CROs/vendors to onboard new assays; author and maintain data transfer specifications, interface control documents, and acceptance criteria.
+ Build and maintain harmonization and mapping logic (units, controlled terminology, ontologies) and data models needed to standardize biomarker and clinical datasets.
+ Generate study-specific analysis bundle per request in defined timeline.
+ Produce and maintain clear documentation: software specification forms, data definition tables, runbooks, and onboarding guides.
+ Write clean, tested, maintainable Python code and contribute to CI/CD pipelines, automated testing, and release processes.
**Required qualifications**
**Education & experience**
+ 8+ years of experience with Bachelor's in Computational Biology, Bioinformatics, AI, Computer Science, Data Engineering, or related field. PhD is a plus.
+ 3+ years of experience in data engineering or platform engineering roles; experience working with biomarker/biological/clinical data or in a clinical research environment is highly desirable.
**Technical skills**
+ **Strong programming skills in Python and database design. Experience with Databricks**
+ **Experience with workflow/orchestration tools (e.g., Airflow, Nextflow, snakemake).**
+ **Experience with agentic automation and formulation of AI workflow development and deployment, agentic automation tools and Codex workflows.**
+ **Familiarity with HPC, cloud platforms and storage (e.g., AWS) and best practices for secure data handling.**
+ **Experience with version control (Git), CI/CD, containerization (Docker)**
+ **Knowledge of clinical data formats and standards (e.g., CDISC/SDTM/ADaM).**
+ **Experience working with clinical labs, biomarker assays (immunoassay, flow cytometry, immunohistochemistry, proteomics, whole genome sequencing, exome sequencing, RNA-seq, methylation, metabolomics)**
+ Familiarity with data standardization and harmonization frameworks, controlled vocabularies
+ Experience building, testing and debugging R pipelines for production data processing.
Is this job a match or a miss?
Apply Now
7
Product Line Management III -AI Product Assessment
Bangalore
Applied Materials
Posted 5 days ago
Job Viewed
Job Description
**Who We Are**
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
**What We Offer**
Location:
Bangalore,IND
You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.
At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits ( .
**Key Responsibilities**
+ **Owns product change management (PCM) and control**
+ Unreleased product approval and control
+ ECO (Engineering Change Order) approval
+ Implementation of PCN (Part Change Notification), with Global Product Support
+ Provides guidance/input to Engineering and the Business Unit about the field service impact of part/supplier changes.
+ **Accuracy of customer shipped configurations and BOMs (Bill of Materials)**
+ CaRM (Configuration accuracy Review Meeting) reviews
+ BOM (Bill of Materials) accuracy
+ NSR (Non Standard Request) approval
+ Owns common modules roadmap and implementation post Phase 5 of ePLC.
+ Implementation of component roadmaps including part obsolescence, replacements, alternative vendors and cost reduction
+ Facilitates Intercompany communication to align on product strategies, provide guidance on pricing, spare level contents, and restricted part orders. Facilitates alignment meeting for product roadmap and market proliferation
+ Implementation of cost reduction roadmap
+ Manage strategic vendor issues
+ **Manage all changes to the product after product release**
+ whether driven by engineering, quality, safety, customer demands or supply obsolesce
**Functional Knowledge**
+ Demonstrates conceptual and practical expertise in own discipline and basic knowledge of related disciplines
**Business Expertise**
+ Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market
**Leadership**
+ Acts as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirements
**Problem Solving**
+ Solves complex problems; takes a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information
**Impact**
+ Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines and policies
**Interpersonal Skills**
+ Explains difficult or sensitive information; works to build consensus
+ Lead product line strategy using AI‑driven product assessment, lifecycle analytics, and data‑backed decision making.
+ Define and translate business needs into enterprise AI/LLM requirements and scalable AI application roadmaps.
+ Develop and govern AI solutions with strong understanding of LLMs, MI/ML concepts, and enterprise integration.
+ Minimum Copilot power user with mid‑level prompt engineering proficiency to drive productivity and insights.
**Additional Information**
**Time Type:**
Full time
**Employee Type:**
Assignee / Regular
**Travel:**
Yes, 10% of the Time
**Relocation Eligible:**
Yes
Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
**What We Offer**
Location:
Bangalore,IND
You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.
At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits ( .
**Key Responsibilities**
+ **Owns product change management (PCM) and control**
+ Unreleased product approval and control
+ ECO (Engineering Change Order) approval
+ Implementation of PCN (Part Change Notification), with Global Product Support
+ Provides guidance/input to Engineering and the Business Unit about the field service impact of part/supplier changes.
+ **Accuracy of customer shipped configurations and BOMs (Bill of Materials)**
+ CaRM (Configuration accuracy Review Meeting) reviews
+ BOM (Bill of Materials) accuracy
+ NSR (Non Standard Request) approval
+ Owns common modules roadmap and implementation post Phase 5 of ePLC.
+ Implementation of component roadmaps including part obsolescence, replacements, alternative vendors and cost reduction
+ Facilitates Intercompany communication to align on product strategies, provide guidance on pricing, spare level contents, and restricted part orders. Facilitates alignment meeting for product roadmap and market proliferation
+ Implementation of cost reduction roadmap
+ Manage strategic vendor issues
+ **Manage all changes to the product after product release**
+ whether driven by engineering, quality, safety, customer demands or supply obsolesce
**Functional Knowledge**
+ Demonstrates conceptual and practical expertise in own discipline and basic knowledge of related disciplines
**Business Expertise**
+ Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market
**Leadership**
+ Acts as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirements
**Problem Solving**
+ Solves complex problems; takes a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information
**Impact**
+ Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines and policies
**Interpersonal Skills**
+ Explains difficult or sensitive information; works to build consensus
+ Lead product line strategy using AI‑driven product assessment, lifecycle analytics, and data‑backed decision making.
+ Define and translate business needs into enterprise AI/LLM requirements and scalable AI application roadmaps.
+ Develop and govern AI solutions with strong understanding of LLMs, MI/ML concepts, and enterprise integration.
+ Minimum Copilot power user with mid‑level prompt engineering proficiency to drive productivity and insights.
**Additional Information**
**Time Type:**
Full time
**Employee Type:**
Assignee / Regular
**Travel:**
Yes, 10% of the Time
**Relocation Eligible:**
Yes
Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
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8
Agricultural Data Scientist - Predictive Analytics for Crop Management
682001 Kochi / Remote
Placements24
Posted 5 days ago
Job Viewed
Job Description
About the Role Our client, a leading innovator in AgTech, is seeking a talented Agricultural Data Scientist to join their fully remote team. This position is instrumental in harnessing the power of data to revolutionize crop management and agricultural decision-making. You will be responsible for developing and implementing advanced predictive models using diverse datasets, including sensor data, satellite imagery, weather patterns, and historical yield information. The goal is to provide actionable insights that optimize resource allocation, mitigate risks, and enhance overall farm productivity and sustainability. This is a unique opportunity to apply cutting-edge data science techniques to real-world agricultural challenges from the comfort of your home office. Key Responsibilities
- Develop, validate, and deploy predictive models for crop yield forecasting, disease prediction, and optimal planting/harvesting times.
- Analyze large and complex agricultural datasets, identifying key variables and patterns influencing crop performance.
- Clean, transform, and prepare data from various sources (e.g., IoT sensors, farm management software, satellite imagery, weather stations) for analysis.
- Collaborate closely with agronomists, remote sensing specialists, and software engineers to integrate data-driven solutions into existing platforms.
- Design and conduct A/B tests and experiments to evaluate the effectiveness of different models and strategies.
- Utilize machine learning and statistical techniques, including regression, classification, clustering, and time-series analysis.
- Communicate complex findings and model results clearly and concisely to both technical and non-technical audiences through visualizations and reports.
- Stay abreast of the latest advancements in data science, machine learning, and their applications in agriculture.
- Contribute to the design and architecture of data pipelines and analytics infrastructure.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Agricultural Science with a strong quantitative focus, or a related field.
- Minimum of 5 years of professional experience as a Data Scientist, with a proven track record of building and deploying predictive models.
- Strong proficiency in programming languages such as Python or R, including relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Experience with SQL and database management.
- Familiarity with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
- Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Experience working with agricultural data (e.g., sensor data, remote sensing, weather data) is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills for effective teamwork in a remote setting.
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9