Security jobs in United Kingdom

The team is responsible for developing and managing Data & AI products that drive intelligent experiences, decisions and actions across the Tesco ecosystem. We work in close partnership with business and technology teams across Stores, Finance, People, Customer, Commercial to enable the seamless build, consumption, integration and expansion of Data & AI capabilities.

As a Product Manager, you will evolve and drive the product vision, strategy and delivery of Store Data Products that empower Tesco colleagues to deliver an exceptional shopping experience. Partner with stakeholders to align with business priorities, manage backlogs and write user stories. Leverage store data, AI-assisted analytics and task management solutions to optimise store operations. Collaborate with engineering teams to deliver innovative, data driven products that create measurable impact.

This is a fantastic opportunity to join our team and play a leading role in defining, building and launching Store data product that have a real impact on Tesco business and colleagues.

This is a hybrid role with the expectation of being based at our London and Welwyn Garden City offices 3 days a week.

• Evolve and drive the product vision and roadmap for Store Data Products, ensuring alignment with business goals and customer experience objectives.
• Prioritise work and decisively resolve trade-offs with peers and senior leaders to maximise business value.
• Translate complex business challenges into innovative, data-driven solutions that improve store efficiency and colleague productivity.
• Effectively document and explain new requirements to engineering teams using user stories with acceptance criteria and help break down complex work into smaller, deliverable chunks for faster delivery.
• Steer sprint and release planning sessions with engineering counterparts to plan iterations that deliver maximum business value with minimal effort.
• Prioritise, coordinate, and communicate the resolution of live product issues independently.

• Partner with engineering, analytics, store operations and external vendors to deliver high quality, scalable data products.
• Drive acceptance and adoption of ideas and improvements with product teams and engineering stakeholders.
• Provide leadership and direction to cross functional teams on short term tasks and mid / long term priorities.
• Identify and remove challenges faced by the team by working with your Head of Product and other stakeholders, proactively flagging risks or delays.

• Leverage store data, advanced analytics and emerging technologies to shape product capabilities.
• Collaborate with data engineering and analytics teams to ensure robust data pipelines, governance and compliance.
• Explore opportunities to integrate AI and machine learning into Store Data Products for predictive insights and automation.

• Ensure data products adhere to governance, security and ethical standards.
• Promote data quality, discoverability, and compliance across all product initiatives.

• Understands large scale data platforms and how they can increase the scalability, availability, performance, and security of my organisation’s data.
• Applies UX/UI disciplines and principles
• Understands large scale data platforms and how they can increase the scalability, availability, performance, and security of an organisation’s data.
• Experience of writing hypothesis statements and work directly with optimisation managers and/or engineers to set up and execute experiments.
• Understands large technology systems should interact with each other and track health metrics (uptime, SLOs, response time, etc).
• Experience of setting the vision and strategy for the product area
• Understand how to leverages insights to shape the vision and strategic direction of the product in line with business and Technology goals and customer expectations.
• Applies various data types in different situations and know when to use quantitative and/or qualitative data.