Senior Data Product Manager - Digital Lifecycle & MDM

Jobtailor; Oxford; On-site; GBP 90,000 - 120,000; Full time

Job summary

Elsevier in Oxford is seeking a Senior Product Manager to own a defined area of the Enterprise Product Hub, focusing on digital product data attributes and lifecycle for publishing across A&G, Health and Corporate Markets.

You will collaborate with stakeholders to translate requirements into specs, drive AI-assisted delivery, coach analysts, and shape the roadmap with measurable outcomes. The role builds cross-functional partnerships and ensures data governance and onboarding.

Qualifications

• Clear, well-constrained requirements and specifications are essential.
• Interest in AI-assisted delivery methods.
• Experience owning a product or workstream end-to-end.
• Ability to prioritise under ambiguity.
• Evidence of coaching junior or mid-level analysts.

Responsibilities

• Own a defined area of the Enterprise Product Hub, focusing on digital product data attributes.
• Lead greenfield build of a digital product lifecycle solution for publishing digital data across markets.
• Engage stakeholders to elicit requirements and translate them into actionable specs.
• Capture business value and prioritise work by outcomes and benefits.
• Make prioritisation and scope decisions across maintenance, programme delivery, and roadmap trade-offs.
• Build relationships across business and engineering teams; drive adoption and documentation.
• Shape roadmap priorities, success metrics and long-term planning.
• Represent EPH in cross-team decisions.

Skills

Requirements Writing

Data Governance

Stakeholder Management

Coaching and Development

Adaptability

Curiosity

Leadership

Tools

MDM Platform

Job description

Elsevier in Oxford is seeking a Senior Product Manager to own a defined area of the Enterprise Product Hub, focusing on digital product data attributes and lifecycle for publishing across A&G, Health and Corporate Markets.

You will collaborate with stakeholders to translate requirements into specs, drive AI-assisted delivery, coach analysts, and shape the roadmap with measurable outcomes. The role builds cross-functional partnerships and ensures data governance and onboarding.