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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 (including Insights, Marketing
and Tesco Group departments), Finance, Commercial etc. to enable the seamless
build, consumption, integration and expansion of Data & AI capabilities.
•
Define Product Vision & Strategy – Working
in close collaboration with the Lead PM, Evolve and drive the vision, strategy,
and the long-term roadmap for a suite of products that will help deliver on our
Group Personalisation Data vision & strategy.
•
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.
Deep expertise in customer data within retail
Commercial drivers, business metrics, and performance
Quantitative & qualitative data from surveys, social media, analytics, and direct interactions
Identity/profile data for personalization
Segmentation solutions for communication & insight
Descriptive data (interests, lifestyle, preferences) to tailor products
Proven success leading end‑to‑end product lifecycles for Data & AI/ML products
Strong product management skills
Structured methodologies, agile practices, and OKRs
Data‑driven prioritization and roadmap decisions
Tools expertise (e.g., Aha!) for roadmaps and stakeholder alignment
Extensive collaboration with data science, engineering, and analytics teams
Technical fluency
Product management best practices & UX/UI principles
Enterprise technology systems and large‑scale data platforms (scalability, availability, performance, security)
System health metrics (uptime, SLOs, response time)
Leadership & communication strengths
Stakeholder management and decision‑making
Balancing technical debt with innovation
Excellent written, verbal, and presentation skills
Ability to influence senior leadership and build strong relationships