Director, Data Governance Lead (Clinical Research)
Thermo Fisher Scientific · Texas, United States · 6 days ago
RemoteRemoteScience$185k–$215k/yrFull-time
Key Responsibilities
- Define and execute CRG Digital’s data governance vision, strategy, and multi-year roadmap.
- Establish governance priorities aligned to business objectives, regulatory requirements, and digital transformation initiatives.
- Build and lead the Data Governance Center of Excellence (CoE), including establishing governance forums, operating models, and engagement processes.
- Develop KPIs and maturity metrics to measure governance adoption, data quality, and business value realization.
Policies, Standards & Controls
- Establish and enforce enterprise data governance policies, processes, and standards ensuring data quality, integrity, security, and compliance.
- Translate high-level policy into practical rules, controls, and implementation frameworks.
- Codify and socialize best practices across divisions to drive consistency and scalability.
- Ensure alignment with regulatory, privacy, security, and audit requirements.
Master Data Management (MDM)
- Lead enterprise MDM strategy and execution across key data domains.
- Define data ownership, stewardship models, and governance workflows.
- Oversee data profiling, quality monitoring, issue remediation, and MDM logic.
- Partner with technology teams to ensure governance capabilities are embedded into platforms, tools, and architecture.
Organizational & Stakeholder Leadership
- Establish and evolve CRG Digital’s data governance organization and operating model.
- Partner with divisional data owners, IT, analytics, compliance, and business leadership to embed governance into core processes.
- Chair and lead CRG Data Governance CoE forums and cross-functional councils.
- Drive adoption through strong change management, communication, and executive engagement.
Risk, Compliance & Data Integrity
- Mitigate data risk through proactive governance controls and monitoring.
- Ensure data supports regulatory compliance and audit readiness.
- Identify and work to resolve systemic data quality and integrity issues impacting enterprise operations.