Data Governance Lead

London, UK - Hybrid (3 days/week)

Key Responsibilities

• Design and implement a federated Data Governance model using Hub–Spoke structures, RACI and clear decision rights.
• Establish Data Governance policies, standards and procedures for R&D data such as patient, compound, clinical, study and safety data.
• Apply DAMA, FAIR and ALCOA+ principles to improve data quality, integrity, accessibility, traceability and reuse.
• Ensure Data Governance practices support regulated environments, including GxP, GDPR and FDA requirements.
• Define and maintain Data Owner, Data Steward and Governance roles with clear responsibilities and accountability.
• Lead Data Governance programmes and coordinate activities across business, R&D, IT, Quality, Regulatory, Privacy and Compliance teams.
• Run workshops with stakeholders to understand data issues, agree governance requirements and develop practical solutions.
• Develop data quality, metadata, lineage and governance standards and monitor adoption.
• Support change management, including communication, training and stakeholder engagement.
• Coach and support Data Owners and Data Stewards to adopt governance processes and standards.
• Track governance adoption, data quality improvements, risks and remediation through appropriate KPIs and dashboards.
• Provide governance oversight across R&D processes, including clinical development, research, safety and regulatory data, where applicable.

Key Requirements

• Strong experience in Data Governance and Data Management, preferably within R&D, pharmaceutical or biotech environments.
• Good understanding of DAMA, FAIR and ALCOA+ principles.
• Experience designing federated governance models, RACI matrices, decision rights and stewardship models.
• Experience developing data policies, standards, procedures and governance frameworks.
• Experience working in regulated environments, including GxP, GDPR and FDA compliance.
• Strong understanding of Data Quality, Metadata, Data Lineage and Data Catalogues.
• Experience leading data transformation programmes and multiple workstreams.
• Strong stakeholder management skills, with the ability to work across business and technical teams.
• Experience in change management, training, communication and adoption.
• Ability to coach Data Owners, Data Stewards and business teams.
• Experience with tools such as Microsoft Purview, Collibra, Informatica, Alation or similar is desirable.
• Knowledge of pharma/R&D processes, such as clinical development, biostatistics, safety and regulatory workflows, would be an advantage.