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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Head of AI Governance - **Company:** M&G - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Governance, Model Validation, Usage Tracking - **Published:** June 5, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=126a92ca7f8725a4 ## About the Role Do you have experience in Leadership?, * Strong understanding of AI systems, their risks, and limitations from a governance and oversight perspective * In-depth knowledge of UK and EU financial services regulation relevant to AI (e.g. EU AI Act, FCA, PRA, ICO) * Awareness of model risk management, data governance, privacy, and third-party risk concepts * Understanding of ethical, trustworthy, and responsible AI principles and how they translate into controls * Familiarity with enterprise risk management frameworks and regulatory assurance expectations Skills: * Ability to design and embed enterprise-wide governance frameworks for complex and emerging risks * Strong executive stakeholder engagement, influence, and constructive challenge skills * Capability to translate complex regulatory or technical topics into clear, pragmatic guidance * Strategic thinking combined with practical decision-making in ambiguous, fast-evolving environments * Leadership skills to build, manage, and motivate high-performing governance teams Experience: * Senior-level experience in risk, compliance, governance, or regulatory roles within financial services * Proven track record of implementing governance or control frameworks at enterprise scale * Experience advising senior leaders or committees on regulatory interpretation and risk decisions * Exposure to oversight of AI, models, data, or advanced technology within a regulated environment * Desirable experience operationalising AI regulatory requirements (e.g. EU AI Act) or managing third-party AI risk Educational Qualification: * Graduate in any discipline ## Description The Head of AI Governance is accountable for establishing, embedding, and continuously evolving the firm's enterprise wide AI governance and responsible AI framework. The role ensures that all uses of artificial intelligence - across both internal operations and customer facing products - are compliant with regulatory expectations, aligned with the firm's risk appetite, and deployed in a manner that is ethical, transparent, and trustworthy. Operating at the intersection of regulation, technology, and business strategy, the role provides strategic leadership, pragmatic oversight, and expert advisory support to executive stakeholders as AI adoption scales across the organisation. * Strategy & Governance * Regulatory & Compliance Oversight * Risk Management & Assurance * Operating Model & Decision Forums * Stakeholder Engagement & Enablement * Leadership & External Engagement Strategy & Governance * Define and own the firm's AI Governance Strategy, ensuring alignment with business objectives, enterprise risk management, and regulatory expectations. * Evolve and maintain the AI Governance Framework, including policies, standards, controls, decision rights, and escalation pathways. * Lead the evolution of AI governance from point-in-time approvals to embedded, risk-based, business-as-usual controls. Regulatory & Compliance Oversight * Ensure compliance with relevant regulations and supervisory expectations, including: + EU AI Act (and UK divergence where applicable) + FCA, PRA and ICO expectations relating to AI, data protection, model risk, and consumer outcomes + Cross-jurisdictional requirements for global operations * Act as the firm's subject-matter expert on AI regulation, advising Legal, Compliance, and senior leaders on regulatory interpretation and practical implementation. * Prepare executive-level and regulatory-ready artefacts, evidence, and disclosures relating to AI risk and controls. Risk Management & Assurance * Oversee the identification, assessment, and treatment of AI-related risks, including: + Model risk, bias, explainability, and robustness + Data usage, privacy, and intellectual property risks + Third-party and vendor AI risks + Consumer harm and reputational risk * Define governance approaches for high-risk and prohibited AI use cases, including control design, oversight requirements, and sign-off expectations. * Partner with Internal Audit and Risk functions to support independent assurance and continuous improvement. Operating Model & Decision Forums * Design and lead AI governance forums and decision-making bodies, ensuring: + Clear accountability and decision ownership + Proportionate oversight aligned to risk + Constructive enablement rather than unnecessary friction * Provide expert challenge, guidance, and recommendations to business and technology teams throughout the AI lifecycle. Stakeholder Engagement & Enablement * Act as a trusted advisor to senior leaders across Technology, Data, Legal, Compliance, Risk, HR, and the business. * Enable responsible innovation by providing clear, pragmatic guidance that helps teams deploy AI safely and efficiently. * Lead AI literacy and awareness initiatives to ensure colleagues understand their responsibilities and obligations when using AI. Leadership & External Engagement * Build, lead, and develop a high-performing AI governance team. * Represent the firm in industry forums, regulatory discussions, and external working groups related to AI and responsible technology. * Monitor external developments in AI, regulation, and industry best practice to inform proactive governance improvements., We have a diverse workforce and an inclusive culture at M&G, underpinned by our policies and our employee-led networks who provide networking opportunities, advice and support for the diverse communities our colleagues represent. Regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks. ## Related Videos - [Introduction to Responsible AI: Balancing Value and Risk](https://www.wearedevelopers.com/videos/1972-introduction-to-responsible-ai-balancing-value-and-risk) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Model Governance and Explainable AI as tools for legal compliance and risk management](https://www.wearedevelopers.com/videos/501-model-governance-and-explainable-ai-as-tools-for-legal-compliance-and-risk-management) - [Metrics Handle with Care: The Paradox of Measuring Team Performance](https://www.wearedevelopers.com/videos/1131-metrics-handle-with-care-the-paradox-of-measuring-team-performance) - [AI in Regulated Industry - Validating AI-Enabled Products with PLM and Digital Twins](https://www.wearedevelopers.com/videos/2065-ai-in-regulated-industry-validating-ai-enabled-products-with-plm-and-digital-twins) - [Building Trustworthy AI in Industry: Beyond Traditional Cybersecurity](https://www.wearedevelopers.com/videos/1948-building-trustworthy-ai-in-industry-beyond-traditional-cybersecurity) ## Related Articles - [Should AI be Regulated? 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