Vallum Associates
Data Governance Lead
London
Posted about 22 hours ago
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Location: 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.
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Key Requirements
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- 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.
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Skills
Data Governance
Data Management
Federated Governance Models
RACI Matrices
DAMA
FAIR Principles
ALCOA+ Principles
GxP Compliance
GDPR
FDA Requirements
Data Quality
Metadata Management
Data Lineage
Stakeholder Management
Change Management
Data Stewardship
Location