14 часов назад
Product Manager - Data, Analytics & AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Manager - Data, Analytics & AI (Retail/Data Platforms): Building analytics products that present operational insights and actions to store colleagues and leadership with an accent on data quality, AI, visualization, and large-scale rollout. Focus on defining product strategy, validating MVPs, coordinating dependencies across engineering teams, and turning complex work into deliverable increments.
Location: Welwyn Garden City, United Kingdom; hybrid schedule with 60% of the week at office locations or local sites and the remainder remote
Company
develops retail, data, analytics, technology, and mobile-network solutions supporting Tesco customers, colleagues, and communities.
What you will do
- Define the vision, strategy, and roadmap for analytics capabilities across the data and analytics product portfolio.
- Plan and coordinate analytical products involving multiple product and engineering teams.
- Lead discovery for new analytical products, including MVP prototyping and validation with analysts and engineers.
- Improve data quality and integrity in collaboration with data supply and demand teams.
- Break complex epics into smaller deliverable increments and provide direction on near-term priorities.
- Enable Tesco teams to use analytics environments for performance reviews and business insights.
Requirements
- At least 2 years of product management experience.
- Understanding of engineering and infrastructure best practices, data platforms, analytics systems, and databases such as Teradata, Hadoop, SQL, and NoSQL technologies.
- Knowledge of business intelligence and data visualization tools.
- Experience with backlog prioritization, dependency management, Agile methodologies, user stories, and acceptance criteria.
- Ability to communicate outputs to technical and non-technical audiences and make decisions across competing trade-offs.
- Experience defining hypotheses, creating MVPs, running experiments, analyzing results, and delivering data-driven change in complex or enterprise environments.
Nice to have
- Experience working with distributed, global teams and coordinating multiple stakeholders.
- Interest in applying AI innovatively to improve colleague access to data and enable new product capabilities.
Culture & Benefits
- Flexible working discussions are available throughout the application process.
- Annual bonus scheme of up to 20% of base salary.
- 25 days of holiday plus a personal day and bank holidays.
- Private medical insurance and a 24/7 virtual GP service.
- Paid maternity, adoption, and paternity leave, plus an Employee Assistance Programme and mental wellbeing support.
- Inclusive and accessible recruitment process with Disability Confident Leader accreditation.
Hiring process
- Applications are accepted until 16 October 2026.
- Flexible working and application support can be discussed during the recruitment process.
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