Head of AI for IT

Overview

As Head of AI for IT, you will lead the AI-for-IT strategy to scale secure AI across AstraZeneca’s IT functions. You will embed AI into core IT practices, from project lifecycles to operations and cloud migrations, building foundational AI platforms and governance. You’ll foster a global community to accelerate adoption, share patterns, and realize measurable value. This role combines strategic leadership with hands-on influence on platforms, tooling, and risk management to transform IT at scale.

Pay / Benefits

• inclusive culture
• lifelong learning and development
• global impact on healthcare

Responsibilities

• Define and operationalise the AI-for-IT strategy to drive rapid, valuable transformations across global IT
• Shape AI-native IT platforms and tooling, including agent orchestration standards and knowledge systems
• Embed AI across the project lifecycle, software development lifecycle, testing, cloud migration and operations
• Partner on AI-native ITSM, intelligent ticketing and proactive service management
• Collaborate on token economics and governance to optimise AI value, cost and risk
• Build and nurture an internal expert community and enable widespread reuse of AI agents and patterns
• Collaborate with Enterprise AI to leverage platforms, standards and best practices
• Drive measurable outcomes: adoption, automation, reliability, observability and cost efficiency

Key requirements

• Recognised thought leadership in applied AI or AI-enabled IT transformation
• Experience with agentic AI, Model Context Protocol and enterprise knowledge systems
• Knowledge of AI-native ITSM, AIOps, developer tooling or cloud migration
• Knowledge of token economics, FinOps or consumption-based AI services
• Strong understanding of LLMs, related AI tech, and regulatory considerations across US, Europe, and China
• Understanding of retrieval, knowledge graphs, semantic systems and model operations
• Platform product and engineering leadership, software engineering and IT operations fluency
• AI governance, security, compliance and observability
• Executive influence, storytelling and organizational change
• Community building, knowledge sharing and talent development

• Executive influence
• Storytelling
• Community building
• Agentic AI architecture and orchestration
• Model Context Protocol and enterprise knowledge systems
• AI-native ITSM and AIOps

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