Tesco UK • Welwyn Garden City • Hybrid • Full-Time • Permanent • Working hours 36 • Apply by 27-Apr-2026
The Data & AI Product team develops and manages the data and AI/ML products that enable intelligent decisions, personalisation, and customer understanding across Tesco. We work in close partnership with Customer (Insights, Marketing and Group functions), Finance, Commercial and Technology teams to deliver scalable and trusted data capabilities.
In this role, you'll be responsible for a suite of Customer Insights and Profile‑focused data products, including attitudinal data, market research datasets, insight tooling and the evolution of AI‑enabled insight capabilities.
What is in it for you
* 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 (after 1 year’s service) 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
Responsibilities
* Product Strategy & Planning (in partnership with Lead PM)
o Support the Lead Product Manager in shaping the vision, strategy and roadmap for Customer Insights, Profile and Attitudinal data products aligned to Tesco’s Customer Data and Personalisation ambitions.
o Contribute to defining how market research data, customer panels and new data sources are integrated into reusable, scalable insight products.
o Help shape the direction of generative and agentic AI capabilities that improve how teams access, interpret and act on customer insights.
* Delivery & Execution
o Own day‑to‑day delivery for your product area, translating strategy into clear, prioritised backlog items.
o Write and refine user stories, acceptance criteria and discovery artefacts, supporting sprint planning and execution with your squad.
o Manage the product backlog across the opportunity → idea → product → sprint lifecycle, balancing insight value, complexity and delivery capacity.
o Ensure high standards of data usability, quality and governance across insight and profile datasets.
* Driving Measurable Value
o Champion a value‑first mindset, defining OKRs/KPIs that measure the impact of insight and attitudinal data products.
o Work with stakeholders to assess adoption, value realised and opportunities to improve how insight products are consumed.
* User‑Centricity
o Develop a deep understanding of insight users and stakeholders (e.g. Customer Insights, Marketing, Strategy, Analytics).
o Identify friction in how teams currently access customer understanding, market research and panel data.
o Ensure products deliver meaningful improvements in speed, confidence and richness of customer insight.
* Experimentation & Discovery
o Apply a hypothesis‑driven, learn‑fast approach to discovery and experimentation.
o Support MVPs and pilots for new insight capabilities, including GenAI and agentic AI use cases (e.g. insight summarisation, guided analysis, natural‑language querying).
o Help explore and deliver a Home Panel replacement, working closely with insight and research teams.
* Cross‑Functional Collaboration
o Work closely with data engineering, analytics, data science and AI teams to deliver scalable insights solutions.
o Collaborate with research, legal, privacy and governance partners to ensure ethical and compliant use of customer attitudes and opinions.
o Proactively communicate progress, risks and trade‑offs to stakeholders.
* Issue Resolution & Trade‑offs
o Support triage and prioritisation of live issues affecting insight and profile products.
o Help balance short‑term insight needs with longer‑term platform improvements and AI innovation.
Qualifications
* Experience working with customer profile, attitudinal or insight data, ideally within retail, FMCG, media or membership‑based environments.
* Strong exposure to Customer Insights products, including behavioural, descriptive and survey‑based data.
* Experience working with market research datasets, customer panels, tracking studies or qualitative/quantitative research outputs.
* Understanding of identity and profile data used to enrich customer understanding and enable personalisation.
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