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Group Head of Data & AI - Urgent

Harris GlobalLondon🇬🇧United KingdomPosted 2 Sept 2026

Why This Role Stands Out

Lead the enterprise-wide data and AI strategy for a major organization, driving significant growth and operational efficiency through data-led decision-making and cutting-edge AI capabilities. This hybrid leadership role is perfect for an experienced professional seeking to shape the future of data and AI within a global, complex environment. Embrace this exciting opportunity to make a substantial impact and advance your career.

Quick Overview

Seniority
Leader
Employment type
Temporary/Casual
Work mode
Hybrid
Location
London, United Kingdom
Machine LearningAzureComplianceDatabricksGenerative AIPower BIStakeholder Management

Job Description

We are seeking an experienced Group Head of Data & AI to lead enterprise wide data, analytics and AI strategy for a large complex organisation.

You will be responsible for driving data led decision making, developing AI and analytics capabilities and ensuring data supports strategic growth, operational efficiency and business performance.

Key Responsibilities

  • Define and deliver the Data & AI strategy and roadmap.
  • Identify and implement high-value analytics, automation and AI use cases.
  • Lead Data Science, Analytics and Data Platform teams.
  • Drive data governance, quality, security and responsible AI practices.
  • Partner with senior stakeholders to deliver insight driven business outcomes.
  • Provide executive leadership on data, analytics and emerging technologies.

About You

  • Must have worked in Global complex organisations
  • Proven leadership experience in Data, Analytics, AI, or Business Intelligence.
  • Strong knowledge of modern data platforms, analytics, machine learning and generative AI.
  • Experience delivering data and AI strategies within complex organisations.
  • Strong stakeholder management skills with the ability to influence senior leaders.
  • Understanding of data governance, compliance and enterprise operating models.
  • Experience with Microsoft technologies such as Azure, Fabric, Power BI and Databricks is advantageous.

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