Senior Product Manager - Data & AI

Overview

The Data & AI Product team is responsible for developing and managing data and AI/ML products that drive intelligent experiences, decisions, and actions across the Tesco ecosystem. We work in close partnership with business and technology teams across Customer, Finance, Supply Chain, Commercial etc.—to enable the seamless build, consumption, integration and expansion of Data & AI capabilities.

This is a fantastic opportunity to join our team and play a part in defining, building and launching an ambitious roadmap of digital products.

This is a hybrid role with the expectation of being based at our London Office 3 days a week.

Responsibilities

• Define Product Vision & Strategy – Working in close collaboration with the Lead PM, drive the vision, strategy, and long-term roadmap for a suite of products that will accelerate AI Innovation & Engineering across Tesco.
• Deliver Measurable Value – Champion a value-first mindset. Set and track OKRs and KPIs across the product portfolio with a strong focus on delivering tangible business value.
• User-Centricity- Develop a deep understanding of user personas, customer journeys, and stakeholder needs to identify pain points and opportunities. Use this insight to shape product strategy, prioritise features, and ensure solutions deliver meaningful value.
• Fail-fast – Champion a fail-fast mindset by encouraging rapid hypothesis-based experimentation, learning from early failures, and iterating quickly to deliver value. Promote a culture where teams feel empowered to test bold ideas, validate assumptions, and pivot when needed—ensuring continuous improvement and innovation.
• Competitive Landscape Understanding – Engage with and actively involved in market research, leveraging insights to shape the vision and strategic direction
• Drive Product Execution – Translate strategy into actionable plans by managing backlogs – from Opportunity backlog to Idea Backlog to Product Backlog to Sprint backlog, and steer sprint/release planning with cross-functional team / squad.
• Collaborate & Influence Stakeholders – Partner with peers, senior leaders, and cross-functional teams to steer product direction and drive alignment.
• Resolve Trade-offs & Live Issues – Make decisive prioritisation calls, manage conflicting demands, and independently coordinate resolution of live product issues.

Qualifications

• Proven track record in leading the end-to-end product lifecycle for Data and AI/ML products, from ideation to delivery, with measurable success across key business metrics
• Deep understanding of Retail including the key commercial drivers, business metrics and performance indicators
• Strong grasp of emerging Generative AI technologies, opportunities & challenges deploying and realising value at enterprise scale
• Demonstrated experience applying structured product design methodologies—such as the Triple Diamond framework—to guide discovery, definition, and delivery
• Experience appraising and analysing the results of user research and use the results to influence product outcomes and strategic goals.
• Experienced using data to prioritise and adopting a consistent approach to prioritisation
• Experienced in relevant tools such as Aha! to produce and update roadmaps and using it as a tool to create buy-in from stakeholders and other teams
• Extensive experience collaborating with data science, data engineering, and analytics teams to build scalable, value-driven solutions.
• Comfortable navigating ambiguity, initiating market research, and using both qualitative and quantitative insights to shape product strategy.
• Technically fluent, with a solid grasp of product management best practices, UX/UI principles, and enterprise technology systems.
• Experienced in applying agile methodologies, setting and tracking OKRs, and using data to drive prioritisation and roadmap decisions.
• Strong stakeholder management and decision-making capabilities
• Adept at balancing technical debt and innovation
• Excellent communicator with the ability to influence and present to senior leadership
• Knowledge & demonstrated understanding of how large technology systems should interact with each other and track health metrics (uptime, SLOs, response time, etc)
• Knowledge & demonstrated understanding of large-scale data platforms and how they can increase the scalability, availability, performance, and security of data

About Tesco / Diversity & Inclusion

Our vision at Tesco is to become every customer\’s favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet.

We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We\\\’re committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here.

We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern – combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you – Everyone is welcome at Tesco.

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