AI Governance and Testing Manager in Bristol

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About The Role

Our AI & Modelling team spans 500+ individuals across the UK and India, with deep experience across banking, insurance, commercial and government sectors. This position sits at the forefront of how organisations build, deploy and oversee advanced AI systems, ensuring they are safe, responsible and compliant. As an AI Governance and Testing Manager you will work closely with clients to shape practical approaches for evaluating and governing AI models, including generative AI systems and emerging agentic frameworks. You will develop governance frameworks, model risk processes, data privacy and governance practices, and lead automated testing programmes to assess performance, robustness, safety, reliability and failure modes.

What Your Days Will Look Like

• Design and implement AI governance frameworks, policies, processes and operating models that enable safe, responsible and compliant AI adoption across the development lifecycle.
• Lead AI use‑case risk assessments, identifying vulnerabilities and control gaps, and designing proportionate mitigations such as guardrails, governance checkpoints and automated controls to support safe and scalable deployment.
• Lead the design and delivery of AI evaluation programmes, including automated and scenario‑based testing to assess performance, robustness, safety, reliability and failure modes.
• Develop and refine AI evaluation methodologies and reusable testing assets, contributing to research that advances the team’s approach to generative and agentic AI assessment.
• Interpret evaluation outputs and provide clear, evidence‑based recommendations on model risks, limitations, controls and deployment readiness.
• Manage day‑to‑day engagement with client teams and internal stakeholders across PwC, guiding junior colleagues and ensuring high‑quality delivery across governance, testing and advisory projects.
• Contribute to new propositions, tools and thought leadership that enhance the team’s capabilities in AI evaluation, governance and risk management.
• Maintain an up‑to‑date view of regulatory, technological and industry developments, sharing insights with the team and helping to shape leading‑edge best practice in AI governance and testing.

Qualifications

• Experience designing AI governance frameworks aligned to recognised standards or regulations (e.g. EU AI Act, NIST AI RMF, ISO 42001, SS1/23, Responsible AI principles).
• Experience implementing governance processes across the AI lifecycle, such as use‑case risk assessments, AI model documentation requirements, monitoring standards or the design of proportionate controls.
• Experience designing and implementing data privacy and data governance approaches for AI systems, including GDPR‑compliant data usage, retention, lineage and access controls across the AI lifecycle.
• Experience designing and executing structured testing of Gen AI or ML systems, such as scenario‑based evaluations or batch testing.
• Ability to interpret model behaviour and testing outputs, translating technical findings into clear governance, risk and compliance implications for senior stakeholders.
• Strong Python skills, including experience developing ML, GenAI and/or agentic model pipelines.
• Strong written and verbal communication skills, with experience producing structured evaluation reports, governance documents, technical assurance outputs and client‑ready presentations.
• Experience leading workstreams or managing junior colleagues, coordinating delivery across multiple projects, and contributing to the development of new methodologies, tools, and client propositions.

What You’ll Receive From Us

No matter where you may be in your career or personal life, our benefits are designed to add value and support. We offer flexible working arrangements, private medical cover, 24/7 access to a qualified virtual GP, six volunteering days a year and much more.