James Warwick

Data & AI Strategy | Transformation | Governance | Board AdvisoryFTSE 100, Mutual & Startup Expertise.

James brings a track record of leadership in AI strategy, enterprise transformation & governance, with a focus on innovation & value creation.

Executive Summary

James Warwick is a leading technology executive specialising in AI & data strategy, governance and enterprise transformation. He has led large-scale strategic & technological transformation across PLCs, mutuals and startups, including the world’s largest education company (Pearson). He now leads AI & Data Strategy at the UK’s largest financial mutual (Royal London).As Director of AI Strategy & Product Management at Pearson PLC, James led the transformation of a £250M+ business unit, establishing enterprise-wide capabilities and infrastructure. He oversaw acquisitions, partnerships and R&D, leading a multidisciplinary team of 30+ data scientists, engineers and product managers, delivering proprietary capabilities to more than 30 million learners worldwide.He currently leads AI & Data Strategy at Royal London, the UK’s largest insurance, pensions, and investment mutual, with a mandate across strategy, governance and enterprise adoption.Previously, James founded Understated, a boutique AI strategy consultancy advising boards on AI and data strategy, governance and value creation. He also lead the TFE Group, a market & competitive intelligence firm providing decision-grade behavioural intelligence for the financial services sector.


Prior Business Interests

- TFE Group - Behavioural intelligence for financial services. Leading provider of intelligence on UK financial products.- Understated - AI strategy consultancy supporting boards on data & AI governance, transformation, and innovation.- Media Properties: High-impact UK-focused media properties on personal finance.

Skills & Competencies

  • Technology, Data & AI Governance: strategy definition, oversight and assurance.

  • Enterprise Transformation: operating-model design and capability build.

  • Risk & Controls: model risk, data quality, accountability and reporting.

  • Responsible AI & Product Development: balancing innovation, commercial value & ethical accountability.

  • Leadership: forming and scaling high-performing data and product teams.


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