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.

·       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.

•        
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

​

• 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 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 4 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