Data and AI Developer

About the Role

Data is at the heart of everything we do. We operate a multitude of systems that store, process and use data to support our operations, analytics and reporting, all driving us towards our business goals of helping our customers and associates succeed. Ensuring we have a thorough understanding and robust management of the data the UK business creates and uses is crucial.

This is essential to ensuring our business is well managed, giving users ultimate confidence that the data they are using is available and of the highest quality.

We are seeking an energetic and forward‑thinking individual to join us to help build, deliver, improve and lead on data management across the business. In this role, you will work on a variety of strategic and technical activities to solve complex problems, drive technical convergence, and safely ope rationalise Artificial Intelligence (AI) frameworks to unlock the power of data through excellent data management.

What You'll Do

With a permanent high focus on data management and modern tech initiatives, you will support the UK business and wider Enterprise across two core transformative pillars:

AI in Data Management & Strategy

• Team Capability &
  
  Collaboration:
  
  Help create an AI‑literate Data Management team, understanding AI tooling risks and benefits, while collaborating with broader analytics teams to champion key data considerations.
• Frameworks & Governance: Identify key data management principles to enable safe, scaled AI, and evolve our frameworks to meet changing AI and regulatory needs.
• Operationalise & Unlock Value: Drive and implement AI within the Data Management Team (DMT), leading the thinking on near‑term value unlocks that enable end‑users to self‑serve through AI.
• Strategic Alignment: Understand and plan for advances in Enterprise AI Data Management Strategy, advising on how the UK business should be structured to align.

Technological Convergence & Core Infrastructure

• Migration Leadership: Serve as a technical lead for convergence migration, covering data storage, definitions, lineage, quality, modelling, access and consumption.
• End‑to‑End Coordination: Ensure critical migration factors are met, including setting up correct access profiles, migrating metadata/data quality rules, and setting up UK analytical teams for success.
• Enterprise Integration & Road mapping: Partner with Enterprise teams to plan migration sequencing and dependencies, while driving our broader data strategy by identifying industry maturity gaps.
• Stakeholder Engagement & Risk: Collaborate with stakeholders to drive policy‑compliant practices across the data lifecycle, executing data management assessments through 2nd and 3rd‑line reviews.
• Talent Development: Coach, nurture and develop associates across the business to ensure a thorough understanding of their data management responsibilities and the value behind them.

The Skills and Experience You Need

Core Skills & Capabilities

• Critical Problem Solving: Ability to use critical thinking to resolve complex problems, acting as an owner to identify, document and manage data issues.
• Influence & Communication: Strong judgment coupled with excellent communication and networking skills to influence stakeholders and drive meaningful business change.
• User‑Centric Solutioning: Capability to provide actionable advice and create solutions or communications that help end‑users self‑serve, access and navigate data.
• Innovation & Advocacy: A track record of bringing new ideas and establishing new processes that support data strategy, while acting as an ambassador for the team.
• Delivery & Leadership: Proven ability to manage structured business processes, nurture stakeholder relationships and successfully deliver large, value‑add activities.

Technical Knowledge & Experience

• Data & Risk Governance: A strong understanding of, or keen interest in, Data Management, Data Risk Management fundamentals and policy compliance frameworks.
• AI & Innovation Guardrails: Understanding of AI technologies, skills and use cases, with the ability to apply AI to drive operational efficiencies using proper guardrails.
• Cloud Infrastructure: Basic operational knowledge of Cloud data…