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.
What is in it for you We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work. Click Here to find out more!
- Annual bonus scheme of up to 20% of base salary.
- Holiday starting at 25 days plus a personal day (plus Bank holidays).
- Private medical insurance.
- 26 weeks maternity and adoption leave (12 months service required at the qualifying date) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave.
- Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing.
· Support Product Vision & Roadmap Delivery – Work closely with Lead and Senior Product Managers to execute the product roadmap and deliver capabilities that accelerate AI Innovation & Engineering across Tesco.
· Deliver Value Through Product Outcomes – Contribute to defining and tracking OKRs and KPIs, ensuring product initiatives deliver measurable value for users and the business.
· Understand Users & Stakeholders – Build a strong understanding of user personas, customer journeys, and stakeholder needs. Gather feedback, identify pain points, and translate insights into product improvements.
· Drive Experimentation & Learning – Support a test-and-learn culture by helping teams define hypotheses, run experiments, gather feedback, and iterate quickly based on outcomes and evidence.
· Stay Informed on Market & Industry Trends – Monitor relevant market developments, emerging technologies, and competitor activity to bring insights and ideas into product planning and discovery.
· Own Product Execution – Manage and prioritise product backlogs, translate requirements into actionable user stories, and work with engineering and delivery teams to ensure successful sprint and release execution.
· Collaborate Across Teams – Work effectively with engineers, data scientists, designers, and business stakeholders to align on priorities, clarify requirements, and deliver product outcomes.
· Manage Prioritisation & Issue Resolution – Support prioritisation decisions, balance competing requests, and coordinate with relevant teams to resolve product issues and minimise impact to users.
You will need
· Proven experience contributing to the delivery of Data, AI/ML, or digital products, supporting the product lifecycle from discovery through to launch and continuous improvement.
· Good understanding of the retail industry, including key business processes, commercial drivers, and operational metrics.
· Awareness of emerging Generative AI technologies and an understanding of their potential applications, benefits, and limitations within an enterprise environment.
· Experience applying product discovery and delivery methodologies (e.g. Triple Diamond, Design Thinking, Lean Product Development) to identify user needs and support product development.
· Experience gathering, analysing, and synthesising user research and feedback to inform product decisions and improve user outcomes.
· Experience working closely with data science, engineering, analytics, and design teams to deliver valuable product outcomes.
· Ability to navigate ambiguity, break down complex problems, and support discovery activities through qualitative and quantitative research.
· Good understanding of product management fundamentals, user experience principles, and modern technology platforms.
· Experience working within agile delivery teams, contributing to sprint planning, backlog refinement, and product delivery activities.
· Strong stakeholder management and collaboration skills, with the ability to build effective working relationships across technical and business teams.
· Able to balance short-term user needs, technical considerations, and longer-term product goals when making prioritisation recommendations.
· Strong written and verbal communication skills, with the ability to communicate effectively to a range of audiences.
· Working knowledge of enterprise systems, APIs, integrations, and operational metrics such as availability, reliability, and performance.
· Familiarity with modern data platforms and data products, including an understanding of how data can be used to improve business outcomes, scalability, and decision-making.
About us You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues. At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support. We're proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, click here for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying.