About this role
We are looking for a hands-on AI Adoption Manager to join our growing technology function.
Based in Oxford, you will work inside Aurora's business departments in rotation, including Finance, Commercial, Advisory, People & Culture, Legal, and Business Infrastructure & Operations, identifying where AI genuinely changes the shape of how work is done and then making those changes alongside the team. This is a new role, created to accelerate Aurora's ambition to become AI native: processes and ways of working optimised to leverage AI, rather than AI bolted onto processes designed for a pre-AI world. The role is deliberately embedded rather than remote.
Nobody can specify an AI solution in the abstract, and the most valuable opportunities do not arrive as requests; they are found by watching how work is actually done. You will spend time with each department, leaving behind colleagues who can continue without you and written-up patterns that can accelerate future work. Alongside the rotations you will own Aurora's enterprise-wide AI enablement: practical tool guidance, training, worked examples, the champions network, and visible sharing of what colleagues across the business are achieving.
The successful applicant will be genuinely hands-on with agents, skills, prompt libraries and lightweight automation, and equally comfortable sitting alongside business teams to understand how their work is really done. You will work in a creative, intellectually stimulating environment, enjoy autonomy, and have a significant impact on how this very fast growing, data heavy business adopts AI. Embed within Aurora's business departments in rotation, working inside the team rather than visiting it, and identify the processes where AI genuinely changes the shape of the work; and where it does not, say so Build alongside the team: agents, skills, prompt libraries, lightweight automation, and the AI capabilities already built into the tools we own, working within the approved patterns published by our architecture function Hand over deliberately, to the department, to a Systems Manager, or to Engineering, so that what is built is owned and supportable, and leave behind colleagues who can continue unaided Escalate to Architecture where a solution requires a new pattern, a new integration or Engineering effort, and draw on the wider Internal Technology function to deliver it rather than building it alone Own Aurora's enterprise-wide AI enablement layer: practical tool guidance, training, worked examples, and internal communication of what colleagues are achieving with AI Build and run the AI champions network across the business, working alongside Learning & Development, including the recognition and awards approach agreed by our management team Feed what you learn back into the technology function: new patterns for the library, gaps in the guardrails, data quality issues for the enterprise data team, and demand signal into the technology portfolio Manage AI vendors and partners, both tooling providers and any professional services engaged to accelerate delivery Work within Aurora's AI policy and the guidance of the AI Council, making existing policy usable in day-to-day work rather than setting new policy