1,046 Query Optimization jobs in India
Data Management
Posted 1 day ago
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Job Description
Database Management:
• Manage rotation of existing database lists containing million+ records
• Implement proper rotation schedule: active lists for 4-5 days maximum, then 28-30 day cooling period
• Import and process new weekly leads after suppression list processing
• Monitor and analyze list performance metrics
• Reset dispositions as needed
Dialer Administration:
• Maintain DID (Direct Inward Dialing) hygiene and reputation management
• Monitor spam likelihood status across all DIDs
• Order new DIDs monthly through current provider
• Ensure clean number inventory with no extended wait times
• Monitor team connect rates and take corrective action when needed
Daily Operations:
• Continuous monitoring throughout business hours
• Add/rotate data proactively to prevent agent downtime
• Analyze performance exceptions and adjust strategies accordingly
• Maintain optimal call center efficiency and agent productivity
Required Skills:
• Experience with call center dialer systems and administration
• Strong analytical skills for database performance analysis
• Knowledge of DID management and telecommunications
• Ability to work independently with minimal supervision
• Attention to detail for large-scale data management
• Proactive problem-solving approach
Ideal Candidate:
• Previous experience in call center operations or dialer administration
• Familiarity with lead management and database rotation strategies
• Understanding of spam compliance and reputation management
• Ability to work EST hours consistently
• Strong communication skills for reporting and coordination
Data Management
Posted 1 day ago
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Job Description
Awish Clinic is a Skin & Hair clinic offering advanced dermatology and cosmetology solutions. We are looking for a Data Management who can handle clinic data, media files, and provide support in digital content management.
Key Responsibilities:
- Manage and organize clinic data, records, and reports.
- Handle photo & video content related to treatments, patients (with consent), and promotions.
- Assist in creating, editing, and storing digital content (images, videos, documents).
- Maintain online and offline data storage in a systematic way.
- Coordinate with marketing team for providing required content/data.
- Ensure confidentiality and security of clinic information.
- Support in daily admin & documentation tasks.
Requirements:
- Graduate / Diploma in IT, Media, or any relevant field.
- Basic computer skills (MS Office, Google Drive, Excel).
- Knowledge of photo/video editing software (basic level).
- Good organizational & multitasking skills.
- Freshers with digital interest can also apply.
Perks & Benefits:
- Salary: ₹10,000 – ₹0,000 per month.
- Learning opportunities in healthcare & digital media.
- Professional growth with supportive team.
- Exposure to data, content & operations management.
Job Type: Full-time
Pay: , ,000.00 per month
Work Location: In person
Data management
Posted 1 day ago
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Job Description
- A data management manager oversees an organization's data strategy, ensuring the collection, organization, storage, security, and analysis of data to support business decisions. Key responsibilities include developing and implementing data management policies, ensuring data quality and integrity, managing databases, providing data-driven insights to stakeholders, and ensuring compliance with relevant laws and regulations. This role requires strong analytical, problem-solving, and communication skills, often with a background in computer science, statistics, or a related field. Key Responsibilities
- Develop and Implement Data Strategies: Create and enforce policies and procedures for effective data management.
Required Skills & Qualifications
- Analytical & Problem-Solving Skills: The ability to interpret complex data and find solutions to data-related issues.
- Technical Expertise: Proficiency with data management tools, database systems, and programming languages.
- Attention to Detail: A strong focus on accuracy and data integrity.
- Communication Skills: The ability to convey complex information to both technical and non-technical audiences.
- Education: A background in computer science, statistics, mathematics, or a related field is often required, with many holding a Master's degree.
Common Job Titles
- Data Manager
- Data Management Specialist
- Data Management Executive
- Data Management Officer (DMO)
- Data Collection & Organization: Devise methods for collecting, organizing, and maintaining data.
- Data Quality & Integrity: Ensure the accuracy, reliability, and consistency of data across various sources.
- Database Management: Design, manage, and maintain databases and data storage systems.
- Data Security & Confidentiality: Implement security protocols and access controls to protect sensitive information.
- Data Analysis & Reporting: Analyze data to identify trends, generate insights, and create reports and visualizations for stakeholders.
- Compliance: Ensure that data practices comply with legal and regulatory requirements.
- System Improvement: Monitor and evaluate data systems, recommending improvements to hardware, software, and equipment.
- Collaboration: Work with IT, business, and analytics teams to understand data needs and develop data-driven solutions.
Job Type: Full-time
Pay: ₹10, ₹34,766.86 per month
Benefits:
- Food provided
Work Location: In person
Data Management
Posted 1 day ago
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Job Description
At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
Data Management (Senior Data Engineer)
At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
EY is a global leader in assurance, tax, transaction and advisory services. Technology is at the heart of what we do and deliver at EY. Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization. Fuelled by a US$1.5+B investment in technology and innovation, EY is primed to guide clients in their efforts to drive sustainable growth, create new value, and build new and better ways of working. As part of Enterprise Technology, you'll be at the forefront of integrating technology into what we do at EY. That means more growth for you, exciting learning opportunities, career choices and the chance to make a real impact.
The opportunity
EY's global enterprise technology group provides various enabling services (ERP, infrastructure, platforms, service desk) to assist over 300K employees in creating and delivering solutions and services to Fortune 500, privately held and government-like entities.
The Data Scientist will be responsible for leveraging the data lake to drive advanced analytics and predictive modelling initiatives. This role requires a combination of statistical expertise, machine learning knowledge, and the ability to derive insights from large volumes of complex data. The Data Scientist will work closely with business stakeholders to understand their challenges and develop data-driven solutions.
Key Responsibilities
- Design and implement modern data architectures using Azure Data Lake, Azure Synapse, Databricks, and Azure Data Factory.
- Build scalable and efficient ETL/ELT pipelines for structured and unstructured data.
- Lead the development of enterprise data models, data catalogs, and governance frameworks.
- Collaborate with data scientists, analysts, and business stakeholders to ensure data availability and quality.
- Implement CI/CD for data pipelines using Azure DevOps, GitHub Actions, or similar tools.
- Drive best practices in data engineering, data security, and cloud cost optimization.
- Lead and mentor a team of data engineers, providing technical direction and code reviews.
- Monitor, troubleshoot, and optimize data pipelines and jobs in production environments.
Required Skills & Qualifications:
- 7+ years of experience in data engineering with at least 1+ years in a leadership role.
- Strong expertise in Azure Data Platform: Data Factory, Data Lake Gen2, Synapse, Databricks, and Azure SQL/SQL MI.
- Proficiency in PySpark, SQL, and scripting languages (Python, Scala).
- Experience with Delta Lake, Unity Catalog, and medallion architecture (bronze/silver/gold layers).
- Solid understanding of data warehousing, data modeling, and data quality frameworks.
- Strong DevOps mindset with experience in CI/CD, Terraform, and Git-based development.
- Excellent problem-solving, communication, and team leadership skills.
- Bachelor's degree in computer science, Information Technology , Data Engineering, or a related field.
Preferred Qualifications:
- Azure certifications (e.g., DP-203, AZ-305).
- Experience with real-time streaming using Azure Event Hubs, Kafka, or Databricks Structured Streaming.
- Exposure to data governance tools (e.g., Purview, Unity Catalog).
- Master's degree in computer science, Information Technology
- Familiarity with machine learning pipelines and integration with Azure ML or Databricks ML
What We Offer
As part of this role, you'll work in a highly integrated, global team with the opportunity and tools to grow, develop and drive your career forward. Here, you can combine global opportunity with flexible working. The EY benefits package goes above and beyond too, focusing on your physical, emotional, financial and social well-being. Your recruiter can talk to you about the benefits available in your country. Here's a snapshot of what we offer:
- Continuous learning: You'll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
Data Management
Posted 1 day ago
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Job Description
We are seeking a highly motivated and experienced Lead Data Controller to join our dynamic team and drive improvements in our data management processes.
We are looking for a proactive and experienced Lead Data Controller to take ownership of the timely and complete receipt of critical financial data elements within our Controllers department. This is a crucial role that requires strong leadership, meticulous attention to detail, and a deep understanding of data flows within financial services. The candidate will be instrumental in ensuring the quality and availability of data for all reporting purposes, leading a small team, and collaborating extensively with various stakeholders.
Responsibilities include identification of risks, design of effective controls, and oversight of production activities such as data sourcing, processing, analyzing, and reviewing the output while ensuring that the activities are conducted in a controlled environment.
Role & responsibilities
- 5+ years of experience in a data-focused role within the financial services industry (e.g., banking, asset management, insurance).
- Ability to understand inherent risks within data
- Strong understanding of financial products, their underlying risks, and how to design a strong robust control environment around those risks
- Proven experience leading a small team and proven experience of owning processes front to back
- Exceptional communication and interpersonal skills, with the ability to effectively engage with technical and non-technical stakeholders at all levels.
- Demonstrable experience in data reconciliation, validation, and quality assurance.
- Excellent analytical and problem-solving skills, with a keen eye for detail.
- Qualified CA/CFA/ICWA/MBA
- Understanding of change management discipline and ability to collaborate effectively
- Intuitive; fast learner with good problem-solving skills.
- Extensive hands-on experience with AxiomSL (or comparable enterprise-level financial reporting and data management system)
- Experience with data science concepts, methodologies, or tools (e.g., Python, R, machine learning for anomaly detection, data visualization) applied to financial data.
- Familiarity with data governance frameworks and best practices.
Job Expectations
Data Oversight & Delivery:
- Act as the primary point of contact for all data inflow into International Controllers by ensuring data is received accurately, completely, and on schedule for reporting deadlines.
- Develop, implement, and maintain robust data reconciliation and validation processes to guarantee data integrity.
- Proactively identify and resolve data discrepancies, working closely with upstream data providers and source system owners.
- Monitor data quality metrics and report on data completeness and accuracy to senior management.
- Drive continuous improvement initiatives related to data acquisition, processing, and quality within Controllers.
- Ensure operational documentation is maintained, and is best in class
Team Leadership and Development:
- Lead, mentor, and develop a small team of Data Controllers, fostering a collaborative and high-performing environment.
- Allocate tasks, manage workloads, and ensure efficient operation of the data control function.
- Contribute to the hiring and onboarding of new team members as needed.
Stakeholder Management:
- Collaborate effectively with various internal departments, including Technology, Operations, and other finance functions, to ensure seamless data flow and resolve issues.
- Provide relevant control metrics as required to facilitate oversight and governance
- Communicate clearly and concisely with stakeholders regarding data status, issues, and resolutions.
- The above individual contributor' tasks, this role will directly support the Financial and Regulatory Reporting Teams
Data Management Lead
Posted 3 days ago
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Job Description
**Date:** Sep 3, 2025
**Location:** Gurgaon, HR, IN,
**Company:** Corning
Requisition Number: 70723
**The company built on breakthroughs. **
**Join us. **
Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible.
How do we do this? With our people. They break through limitations and expectations - not once in a career, but every day. They help move our company, and the world, forward.
At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.
Come break through with us.
Corning's businesses are ever evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, and automotive markets. We are changing the world with:
+ Trusted products that accelerate drug discovery, development, and delivery to save lives
+ Damage-resistant cover glass to enhance the devices that keep us connected
+ Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light
+ Precision glass for advanced displays to deliver richer experiences
+ Auto glass and ceramics to drive cleaner, safer, and smarter transportation.
**Role Purpose:**
- Lead business specific master data and transaction data management activities and support process governance, and maintenance for the division
- Improve the quality and manage the protection of sensitive data and information assets.
- Standardize master data management practices at the department, functional, and business levels to achieve the required level of consistency, quality, and protection to meet business and regulatory requirements and to support functional strategies.
- Coordinate cross functional master data management initiatives and interdependencies within the business
- Coordinate and align with Corporate/Enterprise data management strategies and initiatives.
**Responsibilities:**
- Data management (master and transaction) and performance: quality and timeliness
- Support establishment of, and governance activities for, Corning International sites data management and liase with other divisions for data activities required during ERP transformation in Corning International sites.
- Work with business users at Corning International sites to make data ready (cleansed and deduplicated) for SAP migration.
- Work with corporate data teams and change management teams to develop and enable better decision-making, reduced operational friction, and repeatable processes from helping the organization value and utilize information
- Provide KPIs/ metrics to measure and improve data
- Liaison between business/functional areas and IT to ensure that data related business requirements are clearly defined, communicated, well understood, and are considered as part of operational prioritization and planning
- Develop and implement data quality standards and remediation adoption requirements
- Provide progress reports on master data programs and projects
- Coordinate data sources to eliminate redundancy
- Identify new opportunities pertaining to the use of information to achieve efficiency and effectiveness - Enable improved business outcomes by applying data integrity, visibility, and accuracy
- Exercise decision authority in the business for data design and usage
- Serve as data champion for organization-wide acceptance (with support and enablement from senior leadership)
- Drive the identification, harmonization, and standardization of data for use in systems and processes o Represent the business in decision-making for business data - ensure business rules and relevancy considerations are included in the migration work for projects
- Promote business practices to be inclusive of data for projects, operations, and strategies Performance Metrics:
- Master and transaction data management milestones in support of ERP transformation
- Data standardization/process innovations
**Education and training for business stakeholders Desired Competencies (knowledge, skills and behaviors):**
- Strong communication and leadership skills
- Data / business savvy
- Data process & management skills (data mapping, cleaning, conversion & validation)
- Demonstrated ability to overcome adversity and manage challenges
- Priority setting in alignment with project priorities
- Collaborative team player
- Strong cultural awareness
- Integrity and strong work ethic
- Nimble and agile thinking to drive change that enables efficiencies and standardization
- Ability to:
o Develop cooperative & constructive working relationships with functions
o Manage conflicts and negotiate with others
o Break down complex business problems into manageable goals
o Get to the heart of the problem and make sound and timely decisions to resolve.
**Experience/Education** :
- Graduate (Business degree preferred, MBA)
- 5+ years of experience in a services or manufacturing organization, with large-scale data management experience
- Knowledge of data governance practices, business and technology issues related to management of information assets and approaches related to data protection.
- Worked in data migration from Peoplesoft to SAP S/4 HANA (desirable)
Data Management Manager
Posted 4 days ago
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Job Description
Wells Fargo is seeking a Data Management Manager
**In this role, you will:**
+ Make decisions and resolve issues regarding operational execution for data governance, data quality or metadata
+ Recommend strategies to prioritize and remediate data quality issues that align with business needs or regulatory compliance initiatives
+ Identify and recommend opportunities for the development of audits and controls structured around business processes and data quality target state and metadata standards
+ Manage and develop team of individual contributor roles with low to moderate complexity focused on defining data quality requirements and delivering on data integrity initiatives
+ Manage operational execution of activities related to all stages of the remediation lifecycle
+ Direct team in developing solutions, tools and processes used to maintain a common companywide data quality, control standards and data sourcing
+ Collaborate with and consult with peers, colleagues, and multiple level managers to ensure consistent approach and direction on companywide remediation efforts
+ Serve as single point of contact for escalations on low to moderate complexity issues
+ Manage allocation of people and financial resources
+ Mentor and guide talent development of direct reports and assist in hiring talent
**Required Qualifications:**
+ 4+ years of Data Management, Business Research, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
+ 2+ years of Leadership experience
Desired Qualifications:
+ Establish and maintain robust data control frameworks across critical data processes, ensuring compliance with regulatory and internal standards.
+ Drive operational excellence in data management by identifying inefficiencies, implementing automation, and continuously improving data services.
+ Proactively identify and mitigate data-related risks, ensuring early detection and resolution of control gaps.
+ Oversee data governance and quality initiatives, ensuring consistency, completeness, and reliability of data across systems.
+ Collaborate with cross-functional teams including business, technology, and compliance to align data strategies with organizational goals.
+ Monitor and report on data control metrics, providing transparency and accountability across data operations.
Job Expectations
+ Proven experience in data control, governance, and operational risk management within financial services, preferably investment banking.
+ Strong understanding of data quality frameworks, data pipelines, and regulatory requirements (e.g., BCBS 239, GDPR).
+ Experience in automation and process optimization within data operations.
+ Ability to think strategically and see the big picture while managing detailed control processes.
+ Excellent stakeholder management and communication skills, with a focus on influencing and driving change.
+ Familiarity with investment banking products and data flows is a strong advantage.
**Posting End Date:**
28 Sep 2025
**_*Job posting may come down early due to volume of applicants._**
**We Value Equal Opportunity**
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
**Applicants with Disabilities**
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo ( .
**Drug and Alcohol Policy**
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy ( to learn more.
**Wells Fargo Recruitment and Hiring Requirements:**
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
**Req Number:** R-
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Data Management Lead

Posted 11 days ago
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Job Description
**Job Description**
**Job Overview:**
We are seeking a highly skilled and experienced Data Management Lead with expertise in data management principles, cloud technologies (AWS, Databricks, Informatica, etc.), software engineering practices, and system design and architecture. The ideal candidate will also have leadership experience managing a team of ~10 individuals and driving best practices in data management and engineering.
**Responsibilities:**
+ Lead and manage a data management team of ~10 members, fostering growth and collaboration.
+ Oversee the design, implementation, and maintenance of data infrastructure and pipelines.
+ Ensure adherence to data management principles, including data quality, governance, and security.
+ Utilize cloud platforms like AWS, and tools such as Databricks & Informatica for data processing and storage solutions.
+ Apply software engineering best practices, including DevOps, Infrastructure as Code (IaC), and testing automation, to streamline workflows.
+ Design scalable and robust system architectures aligned with business needs.
+ Collaborate with cross-functional stakeholders to ensure the seamless integration of data systems.
+ Monitor and optimize system performance, reliability, and cost-effectiveness.
**Skills & Qualifications:**
+ Bachelor's or Master's degree in Computer Science, Information Technology, or related fields.
+ 8+ years of experience in data management, with a strong understanding of cloud-based technologies like AWS, Databricks, and Informatica.
+ Expertise in software engineering best practices such as IaC, DevOps pipelines, and comprehensive testing methods.
+ Experience in system design & architecture, including distributed systems and integration patterns.
+ Proven ability to lead and manage a team (~10 people), fostering an inclusive and high-performance culture.
+ Strong problem-solving, communication, and stakeholder management skills.
+ Strong expertise in data integration, data modeling, and modern database technologies (Graph, SQL, No-SQL) and AWS cloud technologies
+ Extensive experience in DBA, schema design & dimensional modeling, and SQL optimization.
+ Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams.
**Preferred Skills:**
+ Certifications in AWS, DevOps, Data Engineering, or related technologies.
+ Familiarity with Agile methodologies and tools.
+ Knowledge of modern data governance frameworks and strategies.
**Locations**
IND - Bengaluru
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time
Data Management Lead

Posted 11 days ago
Job Viewed
Job Description
**Job Description**
**Job Overview:**
We are seeking a highly skilled and experienced Data Management Lead with expertise in data management principles, cloud technologies (AWS, Databricks, Informatica, etc.), software engineering practices, and system design and architecture. The ideal candidate will also have leadership experience managing a team of ~10 individuals and driving best practices in data management and engineering.
**Responsibilities:**
+ Lead and manage a data management team of ~10 members, fostering growth and collaboration.
+ Oversee the design, implementation, and maintenance of data infrastructure and pipelines.
+ Ensure adherence to data management principles, including data quality, governance, and security.
+ Utilize cloud platforms like AWS, and tools such as Databricks & Informatica for data processing and storage solutions.
+ Apply software engineering best practices, including DevOps, Infrastructure as Code (IaC), and testing automation, to streamline workflows.
+ Design scalable and robust system architectures aligned with business needs.
+ Collaborate with cross-functional stakeholders to ensure the seamless integration of data systems.
+ Monitor and optimize system performance, reliability, and cost-effectiveness.
**Skills & Qualifications:**
+ Bachelor's or Master's degree in Computer Science, Information Technology, or related fields.
+ 8+ years of experience in data management, with a strong understanding of cloud-based technologies like AWS, Databricks, and Informatica.
+ Expertise in software engineering best practices such as IaC, DevOps pipelines, and comprehensive testing methods.
+ Experience in system design & architecture, including distributed systems and integration patterns.
+ Proven ability to lead and manage a team (~10 people), fostering an inclusive and high-performance culture.
+ Strong problem-solving, communication, and stakeholder management skills.
+ Strong expertise in data integration, data modeling, and modern database technologies (Graph, SQL, No-SQL) and AWS cloud technologies
+ Extensive experience in DBA, schema design & dimensional modeling, and SQL optimization.
+ Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams.
**Preferred Skills:**
+ Certifications in AWS, DevOps, Data Engineering, or related technologies.
+ Familiarity with Agile methodologies and tools.
+ Knowledge of modern data governance frameworks and strategies.
**Locations**
IND - Bengaluru
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time
Data Management Manager

Posted 11 days ago
Job Viewed
Job Description
**ABOUT AMGEN**
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
**ABOUT THE ROLE**
**Role Description:**
The Commercial Data Management Manager will be responsible for managing the execution of the Data Platforms Operations in partnership with the Technology team, driving continuous innovation, operational excellence, and cost efficiencies. The manager will oversee execution of features aligned with one or more of our Data Platform product teams and work with the global team and functional partners to implement additional capabilities to the platform aligned with business objectives. Also, the manager will partner with the Senior Manager, Data Platforms to initially focus on the transition efforts from the vendor teams, building a highly talented and data-focused team in our Innovation Center in India. You will also be responsible for partnering with our Amgen Technology partners and peer teams in the US and India to plan, design and implement large and strategic Data enabling programs.
**Roles & Responsibilities:**
**Execution of Data-Enabling Features in Product Teams**
+ Lead and oversee prioritization, execution and deployment of features in one of our Commercial Data Platforms Product teams aligned with standard operating procedures
+ Lead various stages of SDLC as a member of the Data Management Operations teams - including requirements gathering sessions with stakeholders across the US Commercial Organization (including Incentive Compensation, Field Reporting, Forecasting, Secondary Analytics), design, testing and documentation in partnership with the Technology teams in a Product Team setting.
+ Partner with peer teams in the US and technology teams to review requests, design solutions, estimate effort and prioritize requests in assigned Product backlog
+ Communicate with stakeholders through various stages of the SDLC and ensure alignment with stakeholders, and management on effort, solution, timelines and expectations
+ Accountable for ensuring governance processes are followed and appropriate system testing, User Accepting Testing (UAT) are done and documentation is set up to ensure traceability through the lifecycle of deployment
+ Responsible for working with syndicated data sets including IQVIA data - DDD, Xponent, ELAAD, etc., Digital Marketing data sets including Patient and Physician level data sets and internal data sets like HR data, Call Activity data from CRM systems, Patient Hub data to set up and enable HCP & Patient centric connected data sets for our stakeholders
+ Build connected data products for Amgen's Commercial Data and Analytics function leveraging data sets mentioned above that enable insights around Prescriber & Patient behaviour & engagement patterns to support more efficient targeting algorithms
+ Manage the Big Data platform infrastructure (Built on AWS tech / Airflow for Data storage and orchestration and Databricks for processing) - including access to the platform, platform costs, ad hoc capabilities for users, data quality, etc.
+ Partner with the US teams and Technology teams to evaluate and implement tools and technologies to support the future state of the platform including Automated Anomaly detection, Automated document generation, Bots against data, Searchability of data assets, LLM models on data and documents and other Gen AI capabilities
+ Partner with the Technology teams and direct line management to implement processes to monitor system health, set up alerts for anomalies and implement steps to proactively remediate areas of concern on the infrastructure front
+ Partner with peers across our four pillars - Master Data Management, Data Platforms, Patient Data Management, Data Acquisition & Governance to ensure alignment on solutions implemented for stakeholders
+ Identify and highlight roadblocks, process gaps, and resourcing needs to the Leadership team as part of continuous improvement efforts.
+ Identify opportunities for continuous improvement and highlight to direct line management and strategize roadmap for deployment
**Manage Work Transition and Insourcing**
+ In partnership with the Senior Manager Data Platforms, develop and oversee transition plans to migrate work to our Amgen India Innovation Center with minimal disruption and develop standard processes for onboarding peers and broader team.
+ Execute on the insourcing of our Operational Data Management Services currently delivered by external vendors, ensuring appropriate knowledge transfer, risk mitigation, and operational readiness.
+ Build robust repository of knowledge transition documents and set up processes for efficient operations within a global team framework
**Facilitate Cross-Team and Organizational Engagement and Alignment**
+ Partner closely with peers in Commercial Data Strategy core pillars and Data Management Senior Manager to contribute to delivering against our priority initiatives and establish new ways of working, especially across time zones.
+ Work with our Technology/IT partners and the US team members in Product Team setting and partner with other Product teams to ensure deliverables are aligned with the Platform governance model
+ Act as a liaison between at our Amgen India Innovation Center with other Customer Data & Analytics Teams to ensure alignment on goals, processes, and success measures.
**Basic Qualifications and Experience:**
+ Master's degree and 4 to 6 years of data management experience OR
+ Bachelor's degree and 8 to 10 years of relevant data management experience
+ Proven experience in working in global teams and across time zones and cultures
+ Proven experience in working in Product teams and delivering high quality solution in adherence with established processes
+ Strong leadership, stakeholder management, and communication skills.
+ Excellent English oral and written communication.
**Functional Skills:**
**Must-Have Skills:**
+ Prior experience and success working in high-performing data management teams, with clear demonstrations of collaboration, innovation, and continuous improvement.
+ Prior experience leading and supporting Data Platforms Operations - including executing in Agile Product teams, overseeing phased execution of Platform enhancements and innovations
+ Prior experience in executing in major data transformation projects with global teams, including core teams located in India.
+ Prior experience in data architecture and data flow design, data modelling and in data profiling
+ Prior hands-on experience and expertise in technologies such as AWS and Databricks with ability to dig into problem statements and partner with teams in Root cause analysis and in planning and implementing long term remediation
+ Hands-on experience with data analysis using tools and technologies like SQL, Python, R, etc.
+ Prior experience in partnering with stakeholders and technology teams in solution design for small features as well as complex large programs
+ Quick learning agility to understand new concepts such as our end-to-end Commercial data flows to identify and remediate interdependencies.
+ Collaborate with peers, India leadership team and peer teams in the USA to stay ahead of industry trends, best practices, and emerging technologies in data acquisition and build multi-year forward looking Data platform roadmaps.
+ Alignment with best practices and a commitment to championing new and innovative methodologies and tools to enhance data strategies and solutions to drive business outcomes.
**Good-to-Have Skills:**
+ Experience working in the life sciences commercial data domain space, ideally in the areas of Data Platforms and Patient Data.
+ Understanding of the syndicated commercial data sets and use cases
+ Worked in multinational settings with teams from different countries.
+ Basic understanding of compliance and data privacy requirements.
+ Familiarity with and application of Scaled Agile Framework (SAFe).
**Soft Skills:**
+ Exceptional collaboration and communication skills.
+ Strong data & analytics/critical-thinking and decision-making abilities.
+ Able to perform well in a fast-paced, changing environment.
+ Strong oral, written, and presentation skills, with the ability to articulate complex concepts and controversial findings clearly and compellingly.
**Ready to Apply for the Job?**
We highly recommend utilizing Workday's robust **Career Profile** feature to complete the application process. A link to update your profile is available when you click **Apply** . You can then complete your Workday profile in minutes with the "Upload My Experience" functionality to upload an updated copy of your resume or you can simply edit the individual sections of your Career Profile.
Please note that you should be in your current position for at least 18 months before applying to internal positions. Staff must notify their current manager if invited for an interview. In addition, Staff are ineligible to apply for open positions if (a) their performance is currently being managed on a performance improvement plan (PIP) or other locally utilized formal coaching document or (b) their most recent performance rating was not a "Partially Meets Expectations" or higher. Please visit our Internal Transfer Guidelines ( for more detailed information
**GCF Level**
GCF Level 05A
**Career Category**
Sales and Marketing Ops
**Position Type**
Full time