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Senior Data Product Manager – Digital Products

relx · London Wall

Senior 🇬🇧 English
Master Data Management (MDM) Data governance Metadata management

Job description

About the role

The Senior Data Product Manager owns a defined area of the Enterprise Product Hub (EPH) product estate, focusing on the attributes that enable Elsevier to sell digital products. Reporting to the Senior Director of Enterprise Data & Analytics, you will lead the green‑field build of a digital product lifecycle solution and coach analysts to deliver high‑quality outcomes in an AI‑enabled environment.

Key responsibilities

  • Engage stakeholders to gather requirements, translate them into clear specifications, and drive them from concept to live release.
  • Prioritise work based on business value, balancing maintenance, programme delivery and long‑term roadmap trade‑offs.
  • Write testable, constraint‑driven requirements for Spec‑Driven Development, focusing on clarity and success criteria.
  • Coach and develop junior and mid‑level analysts, support onboarding and contribute to recruitment.
  • Own the product area’s roadmap, success measures and long‑term planning while contributing to data governance and documentation.

Required profile

  • Proven ability to operate independently, owning a product or workstream end‑to‑end and making prioritisation decisions under ambiguity.
  • Strong senior stakeholder management experience across business and engineering teams in complex, multi‑stakeholder environments.
  • Deep knowledge of data management practices, including master data management, data governance and metadata management.
  • Experience writing clear, well‑constrained requirements and adapting to AI‑assisted delivery methods.

Required skills

  • Master Data Management (MDM) platforms
  • Data governance
  • Metadata management

What we offer

  • Flexible working hours to support work‑life balance.
  • Wellbeing initiatives, shared parental leave, study assistance and sabbatical options.
  • Opportunities to work on innovative AI‑enabled product solutions within a global leader in information and analytics.

Questions fréquentes

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Source : ats:workday

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Published 2 weeks ago

Expires 1 month from now

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London Wall