Senior Data Product Manager - EPH Digital Products

RELX Group; Oxford; On-site; GBP 70,000 - 95,000; Full time

Benefits offered by this job

Wellbeing initiatives

Parental leave

Study assistance

Sabbaticals

Flexible hours

Job summary

Elsevier is seeking a product-focused data professional in the UK to guide enterprise data capability development. You will engage stakeholders, articulate business value, and steer requirements from concept through live release in an evolving AI-enabled environment.

You will own data governance practice, collaborate with engineering, and lead junior analysts while shaping roadmaps and long-term strategy for master data management and data platforms.

Qualifications

• Experience in leading senior stakeholders and translating complex data challenges into actionable specs.
• Strong knowledge of data governance and master data management (MDM).
• Familiarity with product ownership and agile delivery in large federated environments.

Responsibilities

• Engage stakeholders to elicit requirements for evolving product data model and translate into specifications from concept to live release.
• Capture business value and prioritise work based on outcomes and company benefits.
• Manage prioritisation across maintenance, programme delivery and long-term roadmap trade-offs.

Skills

Stakeholder mgmt

Data management

MDM

Product ownership

AI delivery

Job description

Are you passionate about turning complex data challenges into clear, scalable product solutions? Do you enjoy leading through ambiguity, shaping roadmaps, and helping teams deliver high-quality outcomes in an evolving AI-enabled environment? About our Team The Enterprise Data & Analytics (EDA) team's vision is a future where every colleague has trustworthy data they confidently use to streamline processes, drive smarter decisions and accelerate growth. We develop solutions for managing master data, provide capabilities to manage and govern data assets, and provide analytical platforms to deliver valuable business insights. The Enterprise Product Hub (EPH) is central to that vision. EPH masters Elsevier's saleable product data - bringing books, journals and a growing range of other products under a single governed model - and currently publishes it to around thirty consuming systems across the business. As Elsevier's product portfolio grows, so does EPH's remit, and the work ahead for the analysts, engineers and product specialists behind it.

Responsibilities

• Engage direct and indirect stakeholders to elicit requirements against our evolving product data model and translate these into clear, actionable specifications from concept through to live release.
• Capture and articulate business value, ensuring work is prioritised based on outcomes and benefit to Elsevier as a whole.
• Make prioritisation and scope decisions across maintenance activities, programme delivery, and longer-term roadmap trade-offs.
• Build strong relationships across business and engineering teams and manage internal consumers through adoption, training, guidance, and documentation.
• As the team shifts towards Spec-Driven Development, write tighter, more testable requirements up front - with a core focus on clarity, constraints and success criteria, which improve AI-assisted delivery.
• Coach and develop junior and mid-level analysts, support onboarding, and contribute to recruitment activities.
• Take ownership of a defined product area, shaping roadmap priorities, success measures, and long‑term planning.
• Contribute to data governance practices, system onboarding, and the creation of data and data flow documentation to aid understanding in the wider business.
  Experience writing clear, well‑constrained requirements and specifications, and genuine interest in adapting your practice to AI‑assisted delivery methods.
• A track record of operating independently - owning a product or workstream end-to-end, making prioritisation and scope calls under ambiguity.
• Curiosity and sound judgement, with the ability to work effectively from incomplete information and adapt to changing priorities.
• Proven senior stakeholder management experience across business and engineering teams in complex, multi-stakeholder environments.
• Deep knowledge of data management practices, ideally encompassing master data management (MDM), data governance and metadata management. Practical experience with an MDM platform is advantageous. Demonstrated experience coaching and developing junior or mid-level analysts. Product management, product owner experience, or familiarity with academic publishing or large federated enterprise MDM environments would be beneficial. A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world, RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long‑term goals.

Working Pattern

• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.