Principal Data Governance Lead

SR2
London, UK
1 day ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£182,000.0 - £201,500.0
Working hours
Regular working hours

Tech stack

Data Governance Meta-Data Management Data Classification Data Management GXP

Job description

We are looking for a Principal-level Data Governance specialist to lead the design and implementation of a new federated Data Governance function within a complex, global pharmaceutical R&D environment. This is a high-impact, hands-on leadership role requiring someone who can define the strategy, secure senior stakeholder alignment and create the practical frameworks, policies and operating artefacts needed to take the function through to go-live., * Define the Data Governance vision, strategic outcomes, success measures and roadmap across a complex, multi-functional R&D environment.

  • Design a federated hub-and-spoke operating model, including responsibilities, decision rights, RACI, escalation routes and governance forums.
  • Establish an R&D-specific data life cycle framework aligned with DAMA, FAIR and ALCOA+ principles.
  • Develop the core governance framework, including policies and standards for data classification, quality, metadata, lineage and traceability.
  • Create practical playbooks and operational guidance for data owners, data stewards, data producers and governance forums.
  • Assess current governance maturity across pilot functions and tailor the model to different R&D domains and operating contexts.
  • Lead governance pilots, capture lessons learned and refine the operating model ahead of wider implementation.
  • Produce the change, training, resourcing, transition and scaling plans required to embed the function and support long-term adoption.

Requirements

  • Significant experience designing and implementing enterprise Data Governance functions at Principal, Programme Lead or equivalent level.
  • Proven delivery of federated hub-and-spoke governance models within large, complex and highly regulated organisations.
  • Strong knowledge of DAMA, FAIR and ALCOA+ principles, with the ability to translate frameworks into practical operating processes.
  • Pharmaceutical, biotechnology or life sciences experience, ideally within R&D, clinical development, safety, regulatory or research environments.
  • Good understanding of regulated data requirements, including GxP, GDPR and relevant FDA compliance considerations.
  • Demonstrable experience developing governance policies, standards, RACIs, stewardship models, decision rights and escalation processes.
  • Strong transformation and change leadership skills, including executive engagement, multi-function co-design, communications, training and adoption planning.
  • Experience of data quality, metadata management and lineage platforms, with previous delivery of governance pilots or large-scale implementations highly desirable.

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