Senior Technical Lead

Experience: 8 to 12 years

Location: Chennai, India

Skills: Data Governance, Compliance, Data Stewardship, GxP Compliance, GDPR, HIPAA, Enterprise Data Governance Framework Design, Data Policies, Standards, Controls, Regulatory Risk Assessment, Data Stewardship Network Establishment, Critical Data Elements (CDE) Definition, Business-IT Collaboration, Data Quality Oversight, Metadata Management, Informatica, Role-Based Access Control (RBAC), Data Masking, Anonymization, Tokenization, Cloud Data Platforms, AWS, Snowflake, Databricks, Stakeholder Management, Data Governance KPIs, Data Literacy

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
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 & Up-to-date 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

📌 Senior Technical Lead (Chennai)
🏢 HCL Technologies
📍 Chennai