518 Governance Director jobs in India

Role : AI Governance Director

Department : Legal, AI Governance

Job Location : Bangalore/Mumbai

Experience Range : 12+ Years

Job Summary

The AI Governance director at LTIMindtree will play a pivotal role in shaping and safeguarding the organization’s enterprise-wide AI Governance and Compliance Program.

This position acts as a critical bridge between business, technology, cybersecurity, data privacy, and governance functions, ensuring that AI is deployed responsibly, ethically, and in alignment with global regulatory standards.

This role will drive the development and continuous evolution of AI policies, conduct Responsible AI assessments, ensure regulatory compliance, and champion stakeholder education. By embedding Responsible AI (RAI) principles into the organization’s DNA, the officer will ensure LTIMindtree remains a trusted and forward-thinking leader in the IT services and consulting industry.

This role owns the enterprise accountability framework for Responsible AI, with binding authority to enforce compliance. The role will mandate collaboration with various stakeholders and drafting standards, tool kits and frameworks required for Responsible AI adoption. The role will be responsible for championing adoption of governance practices by embedding controls into business workflows, driving cultural change, and measuring policy uptake across teams."

Key Responsibilities

1) AI Compliance Strategy & Governance

• Design and lead the enterprise-wide Responsible AI governance framework adoption.
• Develop compliance roadmaps for AI/ML initiatives in collaboration with business and technical stakeholders.
• Collaborate and coordinate with business and IT leadership for governing AI Risk & Ethics governance.
• Be a part of and provide inputs to the AI governance board
• Define and institutionalize “AI risk appetite” and “compliance thresholds” for AI/ML deployments.
• As a part of the AI governance office charter manage the “enterprise-wide AI governance framework” aligned with EU AI Act, NIST AI RMF, OECD AI Principles, and other emerging regulations
• Implement, Manage and Govern the AI assurance framework

2) Policy Development & Implementation

• Map and maintain the regulatory landscape in line with the Responsible AI framework
• Draft and maintain AI-related policies, procedures, and controls across the organization.
• Work with AI governance office and maintain the Regulatory compliance
• Ensure AI governance aligns with internal policies and external standards like ISO, GDPR, HIPAA, AI regulations and client-specific requirements.
• Build and manage standard operating procedures (SOPs) and Tool kits for AI lifecycle management and risk controls.
• Collaborate and assist “InfoSec” to integrate AI compliance into “DevSecOps & MLOps pipelines”

3) Responsible AI framework implementation, governance & Oversight

• Manage and improvise the Responsible AI assessment frameworks tailored for AI use cases (e.g., bias, security, explainability, and related risks).
• Collaborate with Technology teams to assess AI models and recommend mitigations.
• Collaborate with Technology and Quality assurance teams to implement the Responsible AI testing framework
• Own and represent AI governance for internal and external audits
• Maintain AI risk register, including use case risk profiling and residual risk monitoring.
• Implement “AI audit mechanisms” (model monitoring, impact assessments)
• Institutionalize the AI impact assessments from AI inventory, Risk categorization and AI assurance assessments
• Ensure all AI systems adopt the AI impact assessment framework through the AI lifecycle
• Implement, Institutionalize and monitor AI system approval process

4) Regulatory Monitoring and Engagement

• Track and analyze global regulatory developments (e.g., EU AI Act, NIST AI RMF, OECD Guidelines, India’s DPDP Act). along with the Privacy office and AI governance office
• Map and maintain the regulatory landscape in line with the Responsible AI framework
• Act as liaison to legal and government affairs teams to assess impact of evolving laws.
• Engage with industry bodies (Partnership on AI, IEEE, ISO) to shape AI standards.
• Prepare compliance documentation and assist in regulatory or client audits involving AI.

5) Training and Culture Building

• Own the design and roll out of Responsible AI training modules across technical, business, and executive audiences.
• Promote awareness of AI ethics and responsible innovation culture across the organization.
• Drive change management and accountability culture through internal campaigns and workshops.
• Create “AI playbooks” and “AI tool kits” for AI Development, Deployment teams.

6) Client Engagement & Advisory

• Advise clients on “Responsible AI framework” and “AI governance framework”.
• Support pre-sales & proposals with AI governance insights.
• Collaborate with the Delivery excellence team and Project teams to ensure AI solutions meet client contractual and regulatory obligations.

7) Accountability & Enforcement

• Own end-to-end accountability for implementing the Responsible AI framework, AI Governance, AI assurance, AI Literacy, Responsible AI toolkit adoption, AI risk management and AI compliance breaches.
• Escalate AI deployments failing risk/compliance thresholds and escalate to the AI governance office/AIGB.

8) Adoption & Change Management

• Drive **enterprise-wide adoption of Responsible AI practices, AI policies, responsible AI impact assessments through:
• AI impact assessments
• Mandatory compliance gates** in AI project lifecycles (e.g., ethics review before model deployment).
• Integration with existing workflows** (e.g., SDLC, procurement, sales).
• Define and track **adoption KPIs** (e.g., "% of AI projects passing RAI audits").

Key Competencies

• Domain: Strong understanding of Responsible AI framework and AI governance
• Domain: Understanding of AI regulations (EU AI Act, NIST RMF), AI ethics
• Technical: AI/ML lifecycle, MLOps, XAI, AI security, Agentic AI, GRC tools
• Technical: AI systems assessments and defining assessment parameters and standards
• Leadership: Stakeholder influence, compliance strategy, cross-functional collaboration
• Ability to adopt new technologies and have experience in putting together a compliance framework
• Ability to understand frameworks and translate them into process and enable the organization for effective adoption via frameworks, toolkits, guidelines etc.
• Excellent communication skills
• Excellent presentation skills
• Excellent collaborative skills
• Excellent research skills
• Ability to come up with frameworks for new tech adoption
• Proactively take on ownership of tasks and take them to closure

Required Qualifications

• 12-18 years in Information Technology, Compliance, Technical governance, Risk management, with 3+ years in AI/ML-related domains.
• Strong knowledge of AI regulatory frameworks (EU AI Act, NIST AI RMF, OECD AI Principles).
• Experience working with cross-functional teams (Delivery, InfoSec, Legal, Data Privacy).
• Familiarity with AI/ML model lifecycle (training, validation, testing, deployment, monitoring).

Preferred Qualifications (Optional)

• Background in Law, Public Policy, Data Governance, or AI Ethics.
• Certifications in AI Governance (AIGB, IAPP CIPM/CIPT, MIT RAII), Privacy (CIPP/E)
• Experience in Global IT services/consulting firms/product companies
• Exposure to data-centric AI product governance or AI MLOps platforms (e.g., Azure ML, SageMaker, DataRobot), Agentic AI implementation, etc.

Role : AI Governance Director

Department : Legal, AI Governance

Job Location : Bangalore/Mumbai

Experience Range : 12+ Years

Job Summary

The AI Governance director at LTIMindtree will play a pivotal role in shaping and safeguarding the organization’s enterprise-wide AI Governance and Compliance Program.

This position acts as a critical bridge between business, technology, cybersecurity, data privacy, and governance functions, ensuring that AI is deployed responsibly, ethically, and in alignment with global regulatory standards.

This role will drive the development and continuous evolution of AI policies, conduct Responsible AI assessments, ensure regulatory compliance, and champion stakeholder education. By embedding Responsible AI (RAI) principles into the organization’s DNA, the officer will ensure LTIMindtree remains a trusted and forward-thinking leader in the IT services and consulting industry.

This role owns the enterprise accountability framework for Responsible AI, with binding authority to enforce compliance. The role will mandate collaboration with various stakeholders and drafting standards, tool kits and frameworks required for Responsible AI adoption. The role will be responsible for championing adoption of governance practices by embedding controls into business workflows, driving cultural change, and measuring policy uptake across teams."

Key Responsibilities

1) AI Compliance Strategy & Governance

• Design and lead the enterprise-wide Responsible AI governance framework adoption.
• Develop compliance roadmaps for AI/ML initiatives in collaboration with business and technical stakeholders.
• Collaborate and coordinate with business and IT leadership for governing AI Risk & Ethics governance.
• Be a part of and provide inputs to the AI governance board
• Define and institutionalize “AI risk appetite” and “compliance thresholds” for AI/ML deployments.
• As a part of the AI governance office charter manage the “enterprise-wide AI governance framework” aligned with EU AI Act, NIST AI RMF, OECD AI Principles, and other emerging regulations
• Implement, Manage and Govern the AI assurance framework

2) Policy Development & Implementation

• Map and maintain the regulatory landscape in line with the Responsible AI framework
• Draft and maintain AI-related policies, procedures, and controls across the organization.
• Work with AI governance office and maintain the Regulatory compliance
• Ensure AI governance aligns with internal policies and external standards like ISO, GDPR, HIPAA, AI regulations and client-specific requirements.
• Build and manage standard operating procedures (SOPs) and Tool kits for AI lifecycle management and risk controls.
• Collaborate and assist “InfoSec” to integrate AI compliance into “DevSecOps & MLOps pipelines”

3) Responsible AI framework implementation, governance & Oversight

• Manage and improvise the Responsible AI assessment frameworks tailored for AI use cases (e.g., bias, security, explainability, and related risks).
• Collaborate with Technology teams to assess AI models and recommend mitigations.
• Collaborate with Technology and Quality assurance teams to implement the Responsible AI testing framework
• Own and represent AI governance for internal and external audits
• Maintain AI risk register, including use case risk profiling and residual risk monitoring.
• Implement “AI audit mechanisms” (model monitoring, impact assessments)
• Institutionalize the AI impact assessments from AI inventory, Risk categorization and AI assurance assessments
• Ensure all AI systems adopt the AI impact assessment framework through the AI lifecycle
• Implement, Institutionalize and monitor AI system approval process

4) Regulatory Monitoring and Engagement

• Track and analyze global regulatory developments (e.g., EU AI Act, NIST AI RMF, OECD Guidelines, India’s DPDP Act). along with the Privacy office and AI governance office
• Map and maintain the regulatory landscape in line with the Responsible AI framework
• Act as liaison to legal and government affairs teams to assess impact of evolving laws.
• Engage with industry bodies (Partnership on AI, IEEE, ISO) to shape AI standards.
• Prepare compliance documentation and assist in regulatory or client audits involving AI.

5) Training and Culture Building

• Own the design and roll out of Responsible AI training modules across technical, business, and executive audiences.
• Promote awareness of AI ethics and responsible innovation culture across the organization.
• Drive change management and accountability culture through internal campaigns and workshops.
• Create “AI playbooks” and “AI tool kits” for AI Development, Deployment teams.

6) Client Engagement & Advisory

• Advise clients on “Responsible AI framework” and “AI governance framework”.
• Support pre-sales & proposals with AI governance insights.
• Collaborate with the Delivery excellence team and Project teams to ensure AI solutions meet client contractual and regulatory obligations.

7) Accountability & Enforcement

• Own end-to-end accountability for implementing the Responsible AI framework, AI Governance, AI assurance, AI Literacy, Responsible AI toolkit adoption, AI risk management and AI compliance breaches.
• Escalate AI deployments failing risk/compliance thresholds and escalate to the AI governance office/AIGB.

8) Adoption & Change Management

• Drive **enterprise-wide adoption of Responsible AI practices, AI policies, responsible AI impact assessments through:
• AI impact assessments
• Mandatory compliance gates** in AI project lifecycles (e.g., ethics review before model deployment).
• Integration with existing workflows** (e.g., SDLC, procurement, sales).
• Define and track **adoption KPIs** (e.g., "% of AI projects passing RAI audits").

Key Competencies

• Domain: Strong understanding of Responsible AI framework and AI governance
• Domain: Understanding of AI regulations (EU AI Act, NIST RMF), AI ethics
• Technical: AI/ML lifecycle, MLOps, XAI, AI security, Agentic AI, GRC tools
• Technical: AI systems assessments and defining assessment parameters and standards
• Leadership: Stakeholder influence, compliance strategy, cross-functional collaboration
• Ability to adopt new technologies and have experience in putting together a compliance framework
• Ability to understand frameworks and translate them into process and enable the organization for effective adoption via frameworks, toolkits, guidelines etc.
• Excellent communication skills
• Excellent presentation skills
• Excellent collaborative skills
• Excellent research skills
• Ability to come up with frameworks for new tech adoption
• Proactively take on ownership of tasks and take them to closure

Required Qualifications

• 12-18 years in Information Technology, Compliance, Technical governance, Risk management, with 3+ years in AI/ML-related domains.
• Strong knowledge of AI regulatory frameworks (EU AI Act, NIST AI RMF, OECD AI Principles).
• Experience working with cross-functional teams (Delivery, InfoSec, Legal, Data Privacy).
• Familiarity with AI/ML model lifecycle (training, validation, testing, deployment, monitoring).

Preferred Qualifications (Optional)

• Background in Law, Public Policy, Data Governance, or AI Ethics.
• Certifications in AI Governance (AIGB, IAPP CIPM/CIPT, MIT RAII), Privacy (CIPP/E)
• Experience in Global IT services/consulting firms/product companies
• Exposure to data-centric AI product governance or AI MLOps platforms (e.g., Azure ML, SageMaker, DataRobot), Agentic AI implementation, etc.

We are seeking a highly skilled Regulatory Compliance professional to join our team in India. The ideal candidate will be responsible for ensuring that our organization adheres to all regulatory requirements and standards, thereby minimizing risk and promoting ethical practices.

• Ensure compliance with all relevant regulatory requirements in India.
• Review and interpret new and existing regulations and provide guidance to internal teams.
• Conduct risk assessments and compliance audits to identify potential compliance gaps.
• Develop and implement compliance policies and procedures to meet regulatory standards.
• Prepare and submit necessary reports to regulatory bodies as required.
• Provide training and support to staff on compliance matters.
• Collaborate with internal departments to ensure compliance is integrated into business processes.

• Bachelor's degree in Law, Business Administration, or a related field.
• 5-15 years of experience in regulatory compliance, preferably in the financial services or healthcare sectors.
• Strong understanding of Indian regulatory frameworks and compliance requirements.
• Excellent analytical and problem-solving skills.
• Ability to interpret complex regulations and provide clear guidance.
• Strong communication and interpersonal skills for collaboration with various stakeholders.
• Proficiency in compliance management software and tools.
• Detail-oriented with strong organizational skills.

Primary Job Function:

To lead and manage all regulatory affairs activities at the manufacturing site located at Mumbai and LL locations, ensuring timely regulatory submissions, compliance with regulations, and providing strategic support to institutional and international business operations. The role is critical to maintaining business continuity and regulatory compliance.

Core Job Responsibilities:

Position Accountability/Scope:

Minimum Education:

B.Pharm / M.Pharm / M.Sc. or equivalent in pharmaceutical or life sciences discipline.

Minimum Experience/Training Required:

The opportunity

We’re looking for Senior with expertise in LIMS Implementations & Configurations for Life Sciences industries to join our EY-Regulatory Compliance team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of emerging service offering.

Your key responsibilities

Skills and attributes for success

To qualify for the role, you must have

Ideally, you’ll also have

What we look for

What working at EY offers

At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are.
You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

EY | Building a better working world 

EY- GDS Consulting – Enterprise Risk (ER) – Regulatory Compliance –Senior

As part of our EY-ER- Regulatory Compliance team, you will help the clients by understanding their business needs and delivering solutions in accordance with the EY guidelines & methodologies. As a Regulatory Compliance senior actively establish, maintain and strengthen internal and external relationships. In line with our commitment to quality, you'll consistently drive projects to completion with high quality deliverables, achieve operational efficiency, proactively identify and raise risks with the client as well as EY senior management team and lead internal initiatives.

The opportunity

We're looking for Senior with expertise in Computer System Validation and stakeholder management to join our EY-Regulatory Compliance team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of emerging service offering.

Your key responsibilities

• Actively contribute to the IT applications project management initiatives that includes Validation activities as per GAMP Life Cycle approach
• Integrate technology with business process transformation programs like SAP, LIMS, ELN, MES, Documentum, TrackWise, Veeva Vault, ValGenesis, Argus, Regulatory Information Management System etc.
• Troubleshoot IT application related issues and suggest recommendations for solutions in consultation with relevant functions.
• Perform Gap assessment and Remediation procedures for legacy applications to ensure validation policies is in line with Life Cycle Approach
• Perform Software classification, IT risk assessment and Mitigation strategies for IT applications.
• Provide guidance and share knowledge and participate in performing procedures focusing on complex, or specialized issues in a regulatory environment. Work with the client to create plans for accomplishing engagement objectives and a strategy that complies with professional standards and addresses the risks inherent in the engagement
• Assist Senior Managers in driving the business development process on existing client engagements by associating with clients and executing the deliverables in the most efficient manner.
• Create innovative insights for clients, adapts methods & practices to fit operational team needs & contributes to thought leadership documents.
• Demonstrate team work by working with cross functional teams across service lines in completing the deliverables within the timelines
• Maintain a strong client focus by effectively serving client needs and developing productive working relationships with client personnel. Stay abreast of current business and economic developments and new pronouncements/standards relevant to the client's business.
• Review status updates and prepare management presentations.
• Actively contribute to improving operational efficiency on projects & internal initiatives.
• Demonstrate a detailed knowledge of market trends, competitor activities, EY products and service lines.
• Contribute to performance feedback for staff
• Foster teamwork and a positive learning culture
• Understand and follow workplace policies and procedures
• Training and mentoring of project resources
• Cross skill and cross train the team members as per the business requirements

Skills and attributes for success

• Prior experience of leading quality and compliance projects in Regulatory Compliance.
• Good understanding of regulations such as USFDA, WHO, HIPAA, TGA, MCC, Anvisa etc.
• Well versed with ICH guidelines, ISPE framework on Risk management, and SDLC
• Strong Knowledge on Enterprise IT applications like LIMS, SAP, ELN, MES, Documentum, TrackWise, Veeva Vault, ValGenesis, Argus, Regulatory Information Management System etc. in Pharmaceutical organization
• Proficient in SOP documentation, drafting work instructions/user manuals, authoring and review of Validation Deliverables such as Validation Plan & report, Requirement specifications, Risk Analysis, Qualification Protocols & reports, Test Scripts, Traceability Matrix etc.
• Demonstrated track record in project management, governance, and reporting
• Good understanding of Quality System Elements such as, Deviation, CAPA, and Change Controls etc.
• Exposure to Data Integrity requirements and other applicable regulations
• Knowledge of Incident Management, Change Management, Periodic Review, Vendor Management, Quality Management Review procedures
• Prior experience of supporting Audits / Inspections
• Sound domain knowledge in Pharmaceutical industry in the areas of Quality control, Quality assurance
• Strong knowledge of Computerized Systems validation concepts such as GAMP 5 - A Risk-Based Approach to Compliant GxP Computerized Systems
• Hands on experience of preparing validation deliverables for software implementation projects
• Sound understanding of standards such as USFDA 21 CFR Part 11, EU GMP Annex 11,

To qualify for the role, you must have

• B.E/B.Tech (Electronics, Electronics & Telecommunications, Comp. Science)/Postgraduate in Science (Preferably in Chemistry/Biochemistry) with 5-8 years of experience with Big 4 or Multi-National Regulatory Compliance companies
• Good interpersonal skills; Good written and presentational skills

Ideally, you'll also have

• Certified Software Quality Engineer (CSQE), Certified Software Quality Assurance (CSQA)
• ISO 9001:2015 Lead Auditor, Quality Auditor Certification (CQA)
• Information Security or Risk Management certifications

What we look for

• A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment with consulting skills.
• An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide.
• Opportunities to work with EY Consulting practices globally with leading businesses across a range of industries

Your key responsibilities

• Work closely with business stakeholders, laboratory personnel, and IT teams to gather and document LIMS requirements. 
• Gather and analyse business requirements related to LIMS functionality and enhancements. 
• Analyse laboratory workflows and processes to recommend and implement LIMS solutions. 
• Translate business needs into functional specifications and system configurations. 
• Configure, test, and validate LIMS functionalities to meet business needs. 
• Conduct impact analysis and risk assessments for LIMS changes and enhancements. 
• Serve as a liaison between business users and technical teams to ensure effective communication and system alignment. 
• Participate in business process mapping and workflow optimization to enhance LIMS utilization.
• Provide input on LIMS enhancements and new feature development to improve system performance. 
• Assist in troubleshooting, identifying, and resolving LIMS-related issues. 
• Conduct user training sessions and provide end-user support.
• Work with laboratory teams to ensure LIMS supports laboratory practices, procedures, and workflows effectively. 
• Identify opportunities for automation and process improvement within laboratory operations using LIMS. 
• Master Data Design Configuration
• Analyse the Technical documents such as SOP/STP/Monograms/Pharmacopeial references and convert them into LIMS compatible data sets.
• Configure master data elements such as test methods, sample types, specifications, workflows, and stability studies within LIMS.
• Maintain data integrity, consistency, and version control across the system. 
• Implement changes and updates to LIMS master data in alignment with business and regulatory needs. 
• Collaborate with cross-functional teams to ensure accurate data migration and system integration. 
• Troubleshoot and resolve issues related to master data configuration and system functionality. 
• Work on optimizing data structures and database management within LIMS. 
• Configurations & Customizations
• Develop, customize, and implement LIMS applications to meet laboratory and business requirements.
• Configure, extend, and support LabWare LIMS, LabVantage LIMS, and other LIMS platforms. 
• Integrate LIMS with other enterprise systems such as ERP, ELN, CDS, MES, and laboratory instrumentation software. 
• Design and optimize databases for efficient storage and retrieval of laboratory data. 
• Develop and maintain system interfaces, workflows, and automation scripts to streamline laboratory processes. 
• Provide technical support, troubleshooting, and bug fixes for LIMS applications, ensuring minimal downtime. 
• Collaborate with laboratory personnel, IT teams, and stakeholders to enhance system functionality and usability. 
• Create and maintain system documentation, including user guides, SOPs, validation protocols, and technical specifications. 
• Ensure compliance with industry standards such as CGxP, PICS, FDA 21 CFR Part 11, EU GMP Annex 11 etc.
• Stay up to date with new LIMS technologies, trends, and best practices. 
• Ensure system security, access control, and compliance with IT policies. 
• Provide ongoing support and maintenance for LIMS applications. 
• Engage in change management processes and drive adoption of new system functionalities. 
• Work with vendors and third-party providers to Configure, implement upgrades and enhancements. 
• Demonstrate teamwork by working with cross functional teams across service lines in completing the deliverables within the timelines
• Maintain a strong client focus by effectively serving client needs and developing productive working relationships with client personnel. Stay abreast of current business and economic developments and new pronouncements/standards relevant to the client's business.
• Review status updates and prepare management presentations.
• Actively contribute to improving operational efficiency on projects & internal initiatives.
• Demonstrate a detailed knowledge of market trends, competitor activities, EY products and service lines.
• Contribute to performance feedback for staff
• Foster teamwork and a positive learning culture 
• Understand and follow workplace policies and procedures
• Training and mentoring of project resources
• Cross skill and cross train the team members as per the business requirements 

Skills and attributes for success

• Strong understanding of laboratory workflows, sample lifecycle management, and data integrity principles. 
• Familiarity with analytical techniques, laboratory instrumentation, and regulatory standards. 
• Exposure to Good Laboratory Practices (GLP), Good Manufacturing Practices (GMP), and ISO 17025 compliance. 
• Experience in working with scientific and analytical teams to align LIMS functionality with laboratory operations. 
• Understanding of quality control, stability studies, environmental monitoring, and batch release processes within laboratories. 
• Proficiency in LIMS software (e.g., LabWare, LabVantage, STARLIMS, SampleManager, or similar platforms).
• Knowledge of system integration with ERP, MES, or other enterprise applications. 
• Previous experience as a Business Analyst or System Administrator or Master Data Manager working with LIMS. 
• Hands-on experience in master data configuration within LIMS platforms. 
• Experience in system validation, testing, and documentation. 
• Exposure to Enterprise IT applications like ELN, MES, Documentum, TrackWise, Veeva Vault, ValGenesis, etc. in Pharmaceutical organization
• Understanding of relational databases and SQL queries. 
• Experience with scripting or automation tools for LIMS is a plus. 
• Understanding of API integrations, web services, and middleware solutions for LIMS. 
• Ability to troubleshoot system and data issues efficiently. 
• Strong problem-solving and analytical skills. 
• Excellent communication and stakeholder management abilities. 
• Ability to work independently and as part of a cross-functional team. 
• Strong attention to detail and commitment to data integrity. 
• Adaptability to dynamic business and regulatory environments. 
• Demonstrated track record in project management, governance, and reporting
• Exposure to Data Integrity requirements and other applicable regulations
• Knowledge of Incident Management, Change Management.
• Prior experience of supporting Audits / Inspections

To qualify for the role, you must have

• B.E/B.Tech (Comp. Science/ Life Sciences/Chemistry/Information Technology or a related field)/Postgraduate in Science (Preferably in Chemistry/Biochemistry) with 4-8 years of experience with Big 4 or Multi-National Regulatory Compliance companies or Leading Life sciences / Pharmaceutical Industries.
• Good interpersonal skills; Good written, oral and presentation skills

Ideally, you'll also have

• Information Security (ISO 27001) or Risk Management certifications 
• LIMS admin certification or Equivalent
• Certified Scrum Master (CSM) or Equivalent (Preferred but not required).