Senior Technical Lead
HCL Technologies
IT
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
Why HCLTech?
At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.
HCLTech is a global technology company, home to more than 226,300 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2025 totaled $14.5 billion.
