Senior Technical Lead

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