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Global Director of Data & AI Governance and Foundations

Job in Chertsey, Surrey County, KT16, England, UK
Listing for: Just Eat Takeaway.com
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Information Security & Data Protection, Data Engineering, AI Business & Operations, Data Warehousing
Salary/Wage Range or Industry Benchmark: 150000 - 190000 GBP Yearly GBP 150000.00 190000.00 YEAR
Job Description & How to Apply Below

Data is at the heart of how Just Eat  (JET) serves customers, supports partners and drives business decisions. As we continue to evolve our data and AI capabilities, we're looking for a Global Director of Data Foundations & Governance to shape how data is governed, trusted and used responsibly across our global organisation.

Reporting directly to the VP Data & Analytics, you'll lead our enterprise-wide data and AI governance strategy, data product standards and data strategy and change portfolio. Working closely with Technology, Product, Legal, Info Sec and business leaders, you'll define the frameworks and standards that enable teams to innovate with confidence, while ensuring our data and AI practices remain secure, high-quality and compliant.

This is a critical leadership role where you'll set the direction for data governance across JET's markets and domains, partnering with our Platform team to translate standards into scalable solutions. We're looking for someone who can live our behaviours of Lead, Deliver and Care, challenge the status quo and bring people together to create lasting business impact.

These are some of the key components to the position:
  • Set the direction
    - Define and evolve JET's enterprise data and AI governance strategy, establishing clear frameworks, standards and controls that enable trusted, responsible innovation across the business.
  • Lead through collaboration
    - Partner with Technology, Product, Legal, Info Sec and business leaders to embed governance into platforms, products and operational processes, building shared accountability across teams and markets.
  • Champion responsible AI
    - Establish AI governance frameworks covering model risk, training data quality, bias, explainability, lineage and Generative AI, ensuring AI is used safely, ethically and responsibly.
  • Raise the bar on data quality
    - Define enterprise-wide data quality standards, stewardship practices and monitoring requirements so that data used for business decisions and AI systems is accurate, complete and trusted.
  • Build for reuse
    - Establish clear standards for data products, ownership, lifecycle management and data contracts, enabling teams to share trusted, consistent data while reducing duplication across domains.
  • Shape our data strategy
    - Work with senior leadership to prioritise data initiatives based on business value, evolve our operating model and measure the return on our data investments.
  • Turn standards into action
    - Define the requirements for governance tooling, metadata management, data lineage and automated controls, partnering with the Platform team to determine what good looks like and enable scalable implementation.
  • Drive adoption and change
    - Lead initiatives that embed data-driven behaviours across JET, building a strong data community and developing data literacy and capabilities across different teams and markets.
  • Protect our data ecosystem
    - Establish policies and standards that support regulatory compliance, including GDPR, CCAPa and the EU AI Act, while defining governance expectations for third-party data providers and AI vendors.
  • Lead and develop your team
    - Build a high-performing team with a culture of trust, accountability, transparency and continuous improvement, developing the capabilities needed to keep JET ahead of emerging data and AI challenges.
  • Extensive experience across data governance, data management, data product management and enterprise data strategy, with a strong understanding of how to scale these capabilities in complex organisations.
  • Demonstrable experience in AI governance, responsible AI or machine learning governance, including the ability to establish frameworks for model risk, data provenance and Generative AI.
  • Strong knowledge of data governance frameworks,…
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