Data Governance Lead

We are looking for a Data Governance Lead with a "builder" mindset—someone who thrives on creating structure from ambiguity and is comfortable challenging existing ways of working. You should be a pragmatic, outcomes-focused professional who can balance high-level strategy with hands-on delivery.

We work together. Your team and the people you will work with…

We work in small, fully autonomous teams that have real ownership of their products. We use the best tool for the job and constantly look for better.

Your team and the people you will work with include a close-knit group of experts within our Technology & Product function. You will work as a true peer to our Data Architect, jointly building our enterprise data foundations by combining architecture, governance, quality, and lineage into a cohesive ecosystem. You will act as the vital bridge between Business, Analytics, Engineering, and Architecture teams, building a community of data owners and stewards across the organisation to ensure governance provides clarity rather than bottlenecks.

We deliver progress. What you’ll do and how you will make an impact.

As our first Data Governance Lead, you will establish enterprise-wide governance from the ground up for a FTSE 250 organisation. You will:

• Define and implement the enterprise data governance strategy and roadmap, ensuring frameworks enable domain-led analytics.
• Establish clear data ownership and accountability across various business domains.
• Design an enterprise data quality framework, defining KPIs and monitoring approaches to drive measurable improvement in data trust.
• Lead the selection of governance tooling and define a canonical metric registry for critical enterprise KPIs.
• Develop practical policies and standards regarding data access and lifecycle management, ensuring alignment with GDPR and regulatory expectations.
• Partner with Engineering to embed governance and lineage directly into our core data pipelines and medallion architecture.
• Drive adoption through enablement and pragmatic change management, ensuring our data is fit for both operational and analytical use.