Data Domain Product Lead (UK)

Overview

In this role, you own the strategic data domain to maximize business value, ensuring governance, reusability, and accessibility for business, analytics, and AI use cases. You define the domain vision, roadmap, and adoption strategy with cross-functional partners, turning fragmented data into a trusted enterprise product. You drive operational excellence, regulatory compliance, and measurable outcomes through data-enabled decisions. This role offers the chance to shape data capabilities that connect business meaningfully with enterprise data products and governance.

Responsibilities

• Define and maintain the domain vision, strategy, roadmap, outcomes, and success metrics
• Prioritize capabilities and investments based on business value, risk, objectives, and measurable outcomes
• Drive adoption and reuse of domain data across functions to increase enterprise value
• Establish business ownership, accountability, and decision rights while supporting governance and data quality
• Align domain concepts with enterprise standards to ensure consistent business meaning across teams
• Build alignment across business, technology, analytics, and data teams to facilitate prioritization and communicate progress
• Identify analytics and AI opportunities and ensure data products are discoverable and reusable
• Track adoption, value realization, data quality, accessibility, and business impact for continuous improvement

Key requirements

• Significant experience in data products, data management, business ownership, or product management roles
• Five to seven years of experience in the relevant data domain
• Experience translating business strategy into data and digital capabilities that deliver measurable value
• Experience leading cross-functional initiatives and aligning stakeholders in a complex organization
• Understanding of data governance, data quality, and interoperability concepts
• Experience with analytics, AI, or digital transformation initiatives; pharma/healthcare/life sciences experience is preferred
• Strong product mindset, stakeholder influence, strategic thinking, accountability, and decision-making in ambiguity

• collaboration
• stakeholder influence
• strategic thinking
• data governance
• data management
• data products

…