Senior Data Product Manager - AI-Driven Data Platform

RELX; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

RELX is seeking a Senior Data Product Manager to own the product data that enables selling and identification of digital product data across markets. You will align with the Head of Product Data, shaping roadmaps and collaborating with engineering to publish data across systems.

You will lead in a greenfield data lifecycle project, influence decision-making under ambiguity, and coach analysts to deliver high-quality outcomes that improve customer experiences and market agility.

Qualifications

• Experience writing clear, well-constrained requirements and specs.
• Ability to own a product or workstream end-to-end under ambiguity.
• Proven senior stakeholder management across business and engineering teams.
• Deep knowledge of data management, MDM, governance and metadata.
• Experience coaching junior analysts.
• Familiarity with publishing or federated enterprise MDM environments would help.

Responsibilities

• Engage stakeholders to elicit requirements for our evolving product data model.
• Translate requirements into actionable specs for concept to live release.
• Prioritise based on outcomes and overall business value.
• Build strong relationships with business and engineering teams and drive adoption.
• Write tighter, testable requirements with clear constraints and success criteria.
• Coach and develop junior/mid-level analysts and support onboarding.
• Own a defined product area, shaping roadmap priorities and success metrics.
• Contribute to data governance, onboarding and data flow documentation.

Skills

Requirements writing

Independent ownership

Stakeholder management

Data management

Coaching juniors

AI-assisted delivery

Tools

MDM platform

Job description

RELX is seeking a Senior Data Product Manager to own the product data that enables selling and identification of digital product data across markets. You will align with the Head of Product Data, shaping roadmaps and collaborating with engineering to publish data across systems.

You will lead in a greenfield data lifecycle project, influence decision-making under ambiguity, and coach analysts to deliver high-quality outcomes that improve customer experiences and market agility.