Product Manager – Data, Analytics & AI – Welwyn Garden City, United Kingdom of Great Britain and Northern Ireland

Overview

In this role you will shape the analytics-driven store operations, guiding data insights from discovery to large-scale rollout. You will own the end-to-end product lifecycle, aligning analytics initiatives with the business mission to boost colleague experience and operational efficiency. You’ll enable store teams to act with confidence and clarity, driving measurable savings and enabling future store innovations. This is an opportunity to lead cross-functional teams in a data-centric, scalable transformation.

Pay / Benefits

• annual bonus up to 20%
• 25 days holiday + personal day + bank holidays
• private medical insurance
• maternity/adoption leave
• paternity leave
• 24/7 virtual GP service

Responsibilities

• Define the vision, strategy and roadmap for analytics capabilities across the data & analytics portfolio
• Coordinate analytical products with cross-team dependencies (product and engineering)
• Lead discovery for MVPs of new Analytical Products with analysts and engineers
• Ensure data quality and integrity with the data supply and demand team
• Break down complex work into deliverable epics and value chunks
• Provide leadership to cross-functional teams on near-term priorities
• Empower Tesco teams to maximise the Analytics environment for performance reviews and insights

Key requirements

• Understanding of engineering and infrastructure best practices
• Experience with analytics systems and databases (Teradata, Hadoop; SQL/NoSQL)
• Knowledge of BI and visualization tools
• Experience with backlog prioritisation and dependency management
• Broad knowledge of data platform technologies
• Ability to create outputs for technical and non-technical audiences
• Strong decision-making and prioritisation under trade-offs
• Knowledge of Agile methodologies and user stories/acceptance criteria
• Interest in AI and innovative uses of data for new product capabilities
• Min 2 years of Product management experience
• Experience solving unstructured problems with MVPs and experiments
• Experience coordinating across distributed, global teams and stakeholders
• Experience creating impact with data and analytics
• Strong prioritisation and decision-making considering priorities, complexity, dependencies and value

• cross-functional collaboration
• data-driven decision making
• clear communication
• Teradata
• Hadoop
• SQL

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