Product Manager - AI Adoption

Are you passionate about using approved AI tools and capabilities to create everyday business impact? Do you thrive in complex problem spaces and enjoy driving meaningful change through data, AI, technology and process? We’re looking for a talented Product Manager to join our team and help shape the future of AI use at Tesco as part of the AI Adoption Team.

The AI Adoption Team connects colleague productivity and capability with AI opportunity discovery, delivery, analytics and value realisation across Tesco. We work across business and technology teams to make AI useful, responsible and sustainable, sharing reusable approaches and using evidence to guide adoption and investment.

In this role, you will product manage AI productivity tools and services including opportunity discovery, AI reporting, developing colleague capability and creating managed agents. Working with business teams, engineering, Workplace Technology, security and change specialists, you’ll shape opportunities, test solutions and support their transition into sustained use. Your focus will be on measurable workflow improvements, responsible adoption and value for money, using evidence of quality, usage, cost and realised benefits to guide what we scale, improve or stop.

We know life looks a little different for each of us. That’s why at Tesco, we always welcome chats about flexible working. Some people are at the start of their careers, some want the freedom to do the things they love. Others are going through life-changing moments like becoming a carer, nearing retirement, adapting to parenthood, or something else. So, talk to us throughout your application about how we can support.

Whilst specific responsibilities will be dependent upon the changing needs of the Tesco business, the following provides an overview of the role’s key responsibilities

• Formulating the vision and strategy for adoption and enablement of AI capabilities across the AI portfolio, and work with others in aligning the strategic priorities, dependencies and roadmap.

• Owning the roadmap and prioritised backlog for your AI Adoption product or service area, balancing colleague needs, business value, risk, cost, dependencies and delivery capacity.

• Working with business sponsors and users to understand current workflows, qualify AI opportunities and agree a clear problem, baseline, success measures and accountable benefits owner before delivery.

• Collaborating with engineers and platform teams to test the smallest, useful solution, assess approved tools, features or agents, and use pilot evidence to recommend whether to scale, improve, or stop.

• Partnering with change, learning and business teams to embed AI into relevant workflows through targeted onboarding, practical guidance, super-users and feedback, measuring sustained effective use beyond access or training completion.

• Translating security, privacy, governance and operational requirements into clear product requirements and acceptance criteria and getting approvals where necessary.

• Working with Finance, reporting teams and business owners to track licence and consumption costs alongside quality, adoption and realised benefits, and use this evidence to optimise investment and reuse proven assets.

• Agreeing business and technical ownership, support arrangements and handover with operational teams, while keeping stakeholders informed of outcomes, risks, dependencies and decisions needed throughout the product lifecycle.

• Min 2 years of Product Management experience.

• Having proven success in working on unstructured problems, defining hypothesis, creating MVPs, running experiments and analysing results to drive data-driven decisions.

• Experience working with distributed, global teams and coordinating across multiple stakeholders, landing large-scale change in an Enterprise environment

• Prioritisation and decision-making skills demonstrating how these have taken into account business priorities, complexity, dependencies and value.

• Experience with enterprise AI adoption, internal productivity products, workflow automation or agent pilots; exposure to M365 Copilot, OpenAI or Copilot Studio would be helpful.

• Experience partnering with business owners to establish benefits baselines, evaluate pilots and demonstrate measurable improvements after launch.

• Experience supporting enterprise rollout, colleague enablement or transition into a supported live service with clear ownership and ongoing review.