Data Governance Lead
hace 7 días
City of London
London, UK - Hybrid (3 days/week) \n \n Key Responsibilities \n\n • Design and implement a federated Data Governance model using Hub–Spoke structures, RACI and clear decision rights.\n, • Establish Data Governance policies, standards and procedures for R&D data such as patient, compound, clinical, study and safety data.\n, • Apply DAMA, FAIR and ALCOA+ principles to improve data quality, integrity, accessibility, traceability and reuse.\n, • Ensure Data Governance practices support regulated environments, including GxP, GDPR and FDA requirements.\n, • Define and maintain Data Owner, Data Steward and Governance roles with clear responsibilities and accountability.\n, • Lead Data Governance programmes and coordinate activities across business, R&D, IT, Quality, Regulatory, Privacy and Compliance teams.\n, • Run workshops with stakeholders to understand data issues, agree governance requirements and develop practical solutions.\n, • Develop data quality, metadata, lineage and governance standards and monitor adoption.\n, • Support change management, including communication, training and stakeholder engagement.\n, • Coach and support Data Owners and Data Stewards to adopt governance processes and standards.\n, • Track governance adoption, data quality improvements, risks and remediation through appropriate KPIs and dashboards.\n, • Provide governance oversight across R&D processes, including clinical development, research, safety and regulatory data, where applicable.\n\n \n Key Requirements \n\n • Strong experience in Data Governance and Data Management, preferably within R&D, pharmaceutical or biotech environments.\n, • Good understanding of DAMA, FAIR and ALCOA+ principles.\n, • Experience designing federated governance models, RACI matrices, decision rights and stewardship models.\n, • Experience developing data policies, standards, procedures and governance frameworks.\n, • Experience working in regulated environments, including GxP, GDPR and FDA compliance.\n, • Strong understanding of Data Quality, Metadata, Data Lineage and Data Catalogues.\n, • Experience leading data transformation programmes and multiple workstreams.\n, • Strong stakeholder management skills, with the ability to work across business and technical teams.\n, • Experience in change management, training, communication and adoption.\n, • Ability to coach Data Owners, Data Stewards and business teams.\n, • Experience with tools such as Microsoft Purview, Collibra, Informatica, Alation or similar is desirable.\n, • Knowledge of pharma/R&D processes, such as clinical development, biostatistics, safety and regulatory workflows, would be an advantage.\n\n