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Tesco

Product Manager - Data &amp; AI

Location:  Welwyn Garden City, UK
Location flexibility:  2 office days / week
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Job Description

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.

· 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.

· 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.

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.

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Working at Tesco

Hybrid

A little flex time

Company benefits

25 days annual leave + bank holidays
Additional voluntary pension contribution
Adoption leave – 26 weeks full pay (after 52 weeks service)
Annual bonus
Annual pay rises
Bike parking
Buy or sell annual leave
Car allowance
Charity donation scheme
Chill out zone
Cinema discounts
Coffee discounts
Collaboration spaces
Company car
Company freebies
Compassionate leave
Critical Illness Insurance
Cycle to work scheme
Death in service
Dental coverage
Discretionary sick pay
Electric Car Salary Sacrifice
Emergency leave
Employee assistance programme
Employee discounts – 10% off and 15% on pay day weekends
Employee phone programme
Enhanced maternity leave – 26 weeks full pay (after 52 weeks service)
Enhanced paternity leave – 6 weeks full pay (after 52 weeks service)
Enhanced pension match/contribution – up to 7.5% matching
Equity packages
Ergonomic workstations
Eye Care Support
Faith rooms
Family health insurance
Fertility treatment leave
Financial advice
Fully stocked snack cupboard
Gym membership
Health assessment
Health insurance
In house training
L&D budget
Learning license
Learning platform
Legal consults
Life assurance – Five times your pay
Life insurance
Lunch and learns
Meditation space
Menopause support
Mental health first aiders
Mental health platform access
Mentoring
Modern office
On-site barista
On-site catering
On-site gym
On-site personal trainer
On-site shower
On-site wellness room
On-site wellness services
On-site workout classes
Open to compressed hours
Open to job sharing
Open to part time work for some roles
Open to part-time employees
Optional unpaid leave
Paid fostering leave
Personal development budgets
Personal development days
Pregnancy loss leave
Private booths
Referral bonus
Religious celebration leave
Relocation packages
Restaurant discounts
Sabbaticals
Salary advance
Salary sacrifice
Secure on-site parking
Sensory-Friendly Setup
Share options
Skilled worker visas
Sports teams
Study support
Teambuilding days
Theme park discounts
Time off in-lieu
Tree planting
Volunteer days
Wellbeing incentive programme
Reservist leave
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