| Chennai, Tamil NaduBengaluru, Karnataka
Job Summary
Lead, Data Governance
Key Responsibilities:
Governance Frameworks & Policy Enforcement
- Design, implement, and scale enterprise data governance policies, standards, and procedures across the DMA landscape.
- Establish and lead Data Stewardship networks, working with business domains to identify Data Owners and define Critical Data Elements (CDEs).
- Enforce rigorous compliance with GxP, HIPAA, GDPR, and internal security policies across all cloud data platforms.
Metadata & Access Management
- Oversee the implementation and maintenance of enterprise Data Catalogs and Business Glossaries, ensuring clear data lineage from source systems to downstream analytics.
- Define and audit Role-Based Access Control (RBAC) matrices to ensure the principle of least privilege is applied across sensitive datasets.
- Guide the strategy for data anonymization, masking, and tokenization to enable secure data sharing for advanced analytics and research.
Stakeholder Alignment & Strategy
- Act as the primary liaison between IT compliance, legal, and the DMA engineering teams to translate regulatory requirements into technical safeguards.
- Define and track Data Governance KPIs, presenting maturity metrics and risk assessments to senior leadership.
- Champion a culture of data literacy and accountability across the organization.
Qualifications & Skills:
- Experience: 8–12 years in Data Management, with a minimum of 4+ years dedicated explicitly to Data Governance, Compliance, or Data Stewardship.
- Domain Knowledge: Deep understanding of the Life Sciences, R&D, or Pharma industry, including strict GxP validation processes and global privacy laws.
- Tools: Proficiency with enterprise Data Cataloging and Governance tools (e.g., Informatica).
- Technical Acumen: Strong conceptual understanding of modern cloud data architectures (Snowflake, Databricks, AWS) to effectively govern data within these environments.
- Leadership Traits: Strong negotiation and stakeholder management skills, with the ability to drive consensus across cross-functional teams without direct authority.
Key Responsibilities
Lead, Data Governance
Key Responsibilities:
Governance Frameworks & Policy Enforcement
- Design, implement, and scale enterprise data governance policies, standards, and procedures across the DMA landscape.
- Establish and lead Data Stewardship networks, working with business domains to identify Data Owners and define Critical Data Elements (CDEs).
- Enforce rigorous compliance with GxP, HIPAA, GDPR, and internal security policies across all cloud data platforms.
Metadata & Access Management
- Oversee the implementation and maintenance of enterprise Data Catalogs and Business Glossaries, ensuring clear data lineage from source systems to downstream analytics.
- Define and audit Role-Based Access Control (RBAC) matrices to ensure the principle of least privilege is applied across sensitive datasets.
- Guide the strategy for data anonymization, masking, and tokenization to enable secure data sharing for advanced analytics and research.
Stakeholder Alignment & Strategy
- Act as the primary liaison between IT compliance, legal, and the DMA engineering teams to translate regulatory requirements into technical safeguards.
- Define and track Data Governance KPIs, presenting maturity metrics and risk assessments to senior leadership.
- Champion a culture of data literacy and accountability across the organization.
Qualifications & Skills:
- Experience: 8–12 years in Data Management, with a minimum of 4+ years dedicated explicitly to Data Governance, Compliance, or Data Stewardship.
- Domain Knowledge: Deep understanding of the Life Sciences, R&D, or Pharma industry, including strict GxP validation processes and global privacy laws.
- Tools: Proficiency with enterprise Data Cataloging and Governance tools (e.g., Informatica).
- Technical Acumen: Strong conceptual understanding of modern cloud data architectures (Snowflake, Databricks, AWS) to effectively govern data within these environments.
- Leadership Traits: Strong negotiation and stakeholder management skills, with the ability to drive consensus across cross-functional teams without direct authority.
Skill Requirements
Core Skills – Lead, Data Governance
Data Governance & Compliance
Enterprise Data Governance Framework Design & Implementation
Data Policies, Standards, and Controls (Enterprise‑scale)
GxP Compliance (Validation, Audit Readiness)
GDPR, HIPAA, and Global Privacy Regulations
Regulatory Risk Assessment & Control Enforcement
Data Governance Operating Model & Maturity Assessment
Data Stewardship & Ownership
Data Stewardship Network Establishment
Data Owner Identification & Enablement
Critical Data Elements (CDE) Definition & Management
Business‑IT Collaboration for Data Accountability
Data Quality Oversight & Issue Escalation
Metadata, Lineage & Cataloging
Enterprise Data Catalog Implementation
Business Glossary Definition & Governance
End‑to‑End Data Lineage (Source Analytics Consumption)
Metadata Management Strategies
Informatica Data Governance & Catalog Tools
Access Control & Data Security
Role‑Based Access Control (RBAC) Design & Audit
Least‑Privilege Security Models
Sensitive Data Classification
Data Masking, Anonymization & Tokenization
Secure Data Sharing for Analytics & Research
Cloud & Modern Data Architecture Governance
Governance for Cloud Data Platforms (AWS)
Snowflake & Databricks Governance Concepts
Cloud Security & Compliance Controls
Data Governance for Analytics & AI Use Cases
Stakeholder Management & Leadership
Cross‑Functional Stakeholder Alignment (IT, Legal, Compliance, Engineering)
Translating Regulatory Requirements into Technical Controls
Influencing Without Direct Authority
Strong Negotiation & Consensus‑Building Skills
Executive Communication & Leadership Reporting
Metrics, Strategy & Enablement
Data Governance KPIs & Metrics Definition
Data Risk & Compliance Reporting to Senior Leadership
Governance Roadmap & Strategy Development
Data Literacy & Cultural Enablement
Organizational Change Management
Other Requirements
Experience & Domain Expertise
8–12 years in Data Management
4+ years in Data Governance, Compliance, or Data Stewardship
Life Sciences / Pharma / R&D Domain Expertise
Strong understanding of validated environments
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