As Lead Product Manager for Tesco's Cyber Data team, you'll be at the forefront of shaping how we use data and AI to protect our business. You'll build and lead a small but high-impact team of Product Managers, driving a clear strategy that connects directly to our wider cyber data objectives. You'll own your products end-to-end, from defining the vision and roadmap to tracking key metrics and delivering measurable impact.
This role is as much about people as it is about products—you’ll inspire, empower, and grow your team to deliver value at scale.
Responsibilities
* Follow Tesco's Business Code of Conduct, acting with integrity and due diligence in all decisions.
* Take ownership of specific risk responsibilities related to cyber data products.
* Develop and execute the product strategy for cyber data analytics and AI initiatives.
* Ensure alignment with overall cyber data strategic objectives and priorities.
* Define and manage the product roadmap, communicating vision, goals, and key initiatives for cyber data analytics and AI products.
* Lead the product development process from concept to launch, defining product features, user stories, and acceptance criteria.
* Manage releases for new features and improvements, coordinating with security engineering, testing, and infrastructure teams.
* Engage with senior leadership, internal cyber data teams, wider security teams, and external partners to gather feedback, validate ideas, and ensure alignment with business needs.
* Work closely with multi-functional teams, including engineering and infrastructure, to drive product development and delivery.
* Build, develop, and nurture a high-performing team of Product Managers, aligned to business needs and strategic priorities.
Qualifications
* Demonstrable experience in product management, including strategy development, roadmap creation, and leading product development cycles to achieve objectives and key results (OKRs).
* Proven experience leading, developing, and growing high-performing teams, with a focus on empowering others to deliver results.
* Proficiency in understanding interactions between large technology systems and monitoring key health metrics such as uptime, SLOs, and response times.
* Data-driven decision-making skills; able to analyse metrics, track performance, and identify areas for improvement.
* Strong understanding of data analytics, AI technologies, and standard processes.
* Knowledge of cybersecurity principles and best practices.
Equal Opportunity Employer
We are committed to creating a workplace where differences are valued and all colleagues are given the same opportunities. We proudly hold the Disability Confident Leader accreditation and are committed to providing a fully inclusive and accessible recruitment process.
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