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14 часов назад

Product Manager - Data, Analytics & AI

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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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

hirify.global 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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