AI value & quality consultant

AI is moving from isolated experiments to something organisations have to run at scale: more use cases, more teams, more exposure. Most companies aren't set up for it. They lack the operating model, the guardrails and the shared language to adopt AI responsibly and actually capture its value. We're looking for a consultant who can help clients manage AI well, from individual use cases up to portfolio scale. You'll set up the governance, risk management, quality checks and lifecycle processes that turn scattered pilots into a managed portfolio, and you'll drive the organisational change that makes it stick. You're not a lawyer and you're not a data scientist? Good. We want a strategy-minded consultant who understands how AI lands inside an organisation and can run engagements from framing the problem with a client's leadership to helping them adopt the solution. Your responsibilities Set up AI portfolio management Design AI governance operating models: roles, decision rights, intake and approval flows Build the AI lifecycle process, from intake and risk triage through deployment, monitoring and retirement Drive the organisational change that makes it work: onboarding stakeholders, embedding ways of working, building internal capability rather than a document nobody reads Set up inventories and registries so clients know what AI they run and how it performs Conduct comprehensive AI risk assessments and ethical evaluations for client systems Manage risk and quality Design AI risk management approaches that integrate the EU AI Act, NIST AI RMF and ISO/IEC 42001 into something practical for the client Run AI risk assessments and guide individual use cases through classification, mitigation and sign-off Pressure-test solution quality: feasibility, evaluation approach, hallucination and data-leakage risks, workflow fit and vendor overclaims Keep clients ahead of a fast-moving regulatory and standards landscape