# Head of AI, Alexion, AstraZeneca Rare Disease Unit at AstraZeneca

AstraZeneca is hiring a Head of AI, Alexion, AstraZeneca Rare Disease Unit in Boston, United States. It pays $258k-$387k a year and Level rates it Works on AI ●●●○; you can [apply on AstraZeneca](https://jobsbylevel.com/go/d891d227-ce7a-4cae-a1e0-85cb85ad606f?utm_medium=ai-agent).

AI Level 3, AI centrality 75 out of 100. US - Boston - MA.

## Details

- Company: [AstraZeneca](https://jobsbylevel.com/companies/astrazeneca)
- AI level: AI Level 3 (score 75 out of 100)
- Location: US - Boston - MA
- Salary: $258k-$387k
- Posted: October 28, 2026
- Apply: https://jobsbylevel.com/go/d891d227-ce7a-4cae-a1e0-85cb85ad606f?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=head-of-ai-alexion-astrazeneca-rare-disease-unit-at-astrazeneca-b314b3

## Prepare for this job

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## Description

Introduction to role AI is changing how rare diseases are discovered, developed and treated. As Head of AI, Alexion , you will set the enterprise AI strategy for Alexion, AstraZeneca’s rare disease unit, and turn that strategy into measurable outcomes for science, operations and patients. Based in Boston, this role works across Research, Development and Regulatory Sciences, Operations and Commercial. The Head of AI will identify high-value opportunities, shape a focused portfolio and help teams move promising ideas into secure, scalable AI products. Success requires strong AI expertise, executive influence and the ability to create clarity when priorities or structures are still evolving. The role will bring business, scientific, data and technology leaders together around practical decisions and measurable outcomes. Accountabilities Set the enterprise AI strategy Develop and lead a multi-year AI roadmap aligned with Alexion’s business and scientific priorities. Define investment needs, adoption goals, value measures and expected outcomes across functions and geographies. Build a high-value AI portfolio Identify and prioritize AI opportunities based on scientific, patient and business value. Turn promising concepts into funded initiatives with clear ownership from experimentation through scale and retirement. Establish the AI operating model Define how AI decisions are made across Research, Development and Regulatory Sciences, Operations and Commercial. Create clear decision rights, governance, delivery standards and accountability for adoption and value. Turn innovation into scalable products Assess emerging AI technologies, including generative and agentic AI. Help teams develop high-value opportunities into secure products with clear criteria for experimentation, scaling, user feedback and lifecycle management. Strengthen architecture and governance Partner with technology, data, scientific and business leaders on AI and data architecture, integration patterns, platform standards, data quality and model lifecycle governance. Embed responsible AI, privacy and security throughout the AI lifecycle. Advise senior leaders Serve as a senior AI advisor to the Alexion Leadership Team. Translate complex technical and business considerations into clear choices and recommendations that support decisions, investment and prioritization. Build AI capability across Alexion Expand AI fluency through practical learning, communities of practice, coaching and role-based development. Enable teams to apply AI responsibly in their everyday work and measure adoption and outcomes. Measure value and performance Establish meaningful measures for AI adoption and impact, including scientific advancement, cycle time, capacity, operational efficiency, decision quality, revenue and cost. Track results against approved value cases and communicate progress, risks and actions clearly. Advance responsible AI Embed governance, validation, transparency, bias management, human oversight, privacy, security, regulatory alignment and auditability into AI solutions. Contribute to external forums and evolving industry practices. Lead through influence Build trusted relationships across Alexion and AstraZeneca. Create clarity around priorities, ownership and trade-offs while developing AI leaders and strengthening the AI community across the rare disease value chain. Essential Skills/Experience 10+ years of progressive leadership experience in pharmaceutical, biotechnology, healthcare or another highly regulated global industry, with significant responsibility for AI, data, digital or technology strategy. 5+ years leading large-scale AI or digital transformation, with evidence of measurable organizational or business outcomes. Experience translating business and scientific priorities into scalable AI solutions. Working knowledge of AI platforms, modern data environments, privacy, security, governance, regulatory expectations and responsible AI. Experience leading

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