Head of AI Implementation & Enablement

Head of AI Implementation & Enablement Department: ​ Data & Technology Salary: 95, per annum plus benefits

Contract:

​ Permanent​

Hours:

Full-time (we’re happy to discuss flexible working arrangements) 

Location:

​Stratford, London​ ​Office-based with high flexibility (typically 2 days per week in the office)​  Closing date: 17 November 2026 23:55 Visa sponsorship:
You must be eligible to work in the UK to apply for this vacancy. Cancer Research UK is not able to offer visa sponsorship. At Cancer Research UK, we exist to beat cancer.  We are professionals with purpose, beating cancer every day. But we need to go much further and much faster. That's why we're looking for someone talented, someone determined, someone like you.

We’re looking for an exceptional Head of AI Implementation & Enablement to lead Cancer Research UK’s AI Centre of Excellence (AI CoE), enabling CRUK to get maximum value from AI to accelerate progress towards beating cancer by driving the safe, effective and scalable adoption of AI across the organisation. In this role, you’ll be accountable for establishing   governance, frameworks, standards and an operating model that empowers teams to adopt AI with confidence and pace whilst ensuring responsible AI use and proportionate risk management. 

Working in partnership with the Data and Technology Senior Leadership Team, our Organisational Effectiveness and Talent team and leaders across CRUK, you will ensure AI priorities are embedded within organisational roadmaps, that innovation and pilot use cases have a clear route to scale, and that AI investments ultimately create meaningful outcomes for CRUK’s customers, stakeholders, and life-saving mission. What will be some of the main responsibilities?

Understand business outcomes and priorities. Understand what the business is trying to achieve and where AI could get it there sooner. Partner with Data and Technology domain leads and with Data and Technology SLT to build those priorities into domain roadmaps, with clear outcomes linked to the customers and stakeholders each domain serves. Shape and prioritise AI opportunities. Help product managers and domain teams identify, shape and prioritise AI opportunities by value.

Provide the patterns and standards that let them deliver AI safely and consistently without CoE involvement in every build. Run a portfolio of AI experiments and pilots. Set clear success criteria up front and track the value delivered against them. Scale successes into sustainable, business-owned services, and stop those that do not deliver. Create paved paths for governance and approval.

Design and own CRUK’s AI governance framework (risk tiers, lifecycle controls and responsible-AI standards) from experimentation through to retirement. Make approval fast and proportionate, so most use cases clear quickly. Define clear triggers so that only the most complex, high-risk or novel cases need input from Data Privacy, Information Security, Legal or other experts. Set and report on targets for time-to-approval.

Maintain the AI inventory and report. Keep an inventory of AI tools, agents and use cases. Report value, risk, assurance and progress to the AI Steering Group. Drive AI adoption and literacy. Build communities of practice and develop skills so AI becomes part of everyday ways of working across CRUK. Build consensus. Create alignment among stakeholders with differing priorities, AI maturity and risk appetites, around proportionate approaches that balance innovation, risk management and delivery.

Lead and develop the AI CoE team. Role model collaborative and inclusive behaviours. What skills are we looking for? Practical understanding of generative AI, large language models and AI agents (their…