Data Governance Lead

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.