Director, Enterprise AI Process & Innovation

Join AstraZeneca: Where AI Meets Life-Changing Impact. Are you ready to turn enterprise AI ambition into repeatable, measurable value that advances how medicines reach patients? Drive significant improvements across our entire value chain, with the executive sponsorship and investment to back it?

As Director, Enterprise AI Process:

• Review and validate model logic, data pipelines, and system behaviour, diagnose and resolve complex technical or delivery challenges.
• Write, review, and refine code, notebooks, pipelines, or configuration artifacts where it accelerates delivery, improves quality, or reduces risk.
• Provide strong technical leadership to AI engineering and data teams, shaping architecture, delivery approaches, and quality standards, and act as a senior escalation point for high-impact initiatives.

Delivery leadership:

• Lead multi-disciplinary teams across business, AI engineering, data, technology, change, and risk functions.
• Own outcomes from concept to production deployment and business adoption, handling risks related to data quality, model performance, production readiness, and technical debt.

Governance, risk, and compliance:

• Ensure solutions align with enterprise governance, Responsible AI principles, privacy, and regulatory expectations.
• Partner with Risk, Legal, Quality, and Compliance to embed controls, validation, and monitoring, and contribute to evolving enterprise AI delivery standards, patterns, and operating models.

Capability building:

• Grow AI literacy and confidence across business and transformation communities.
• Coach teams on effective collaboration across business and technology, and role-model rigorous, value-led, technically credible enterprise AI delivery.

Essential Skills/Experience:

• Master’s degree in a scientific, engineering, or technical field.
• Extensive experience delivering AI products and large-scale transformation in complex large enterprise and regulated environments.
• Proven ability to excel in senior business and executive-facing contexts including giving engaging engineering technical and comprehensive industry talks.
• Proven ability and evidence of work across the enterprise in varied functions.
• Excellent stakeholder management ability and communication skills.
• Competency in business model and case creation and communication.
• Strong hands-on technical and coding experience, including writing and reviewing production-quality code (Python, JavaScript, Java).
• Working directly with data pipelines, analytical workflows, and machine learning models.
• Prototyping, testing, and iterating AI solutions from feasibility through to scalable implementation.
• Deep practical understanding of machine learning concepts and model lifecycles, generative AI and modern AI architectures, data platforms, performance considerations, monitoring, and failure modes.

Desirable Skills/Experience:

• Experience working in environments combining AI engineering, product delivery, and enterprise transformation.
• Familiarity with Generative AI, LLMs, RAG patterns, and agentic workflows.
• MLOps / LLMOps practices, model monitoring, and lifecycle management.
• Knowledge graphs, decision-support systems, or complex analytical platforms.
• Experience operating within regulated environments requiring validation, auditability, and quality oversight.
• Hands-on experience with modern cloud-based AI tooling and experimentation environments.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. We are AstraZeneca’s Enterprise AI Unit—a global community of people from across the business who are pioneering how AI transforms healthcare. We are building an AI empowered organisation from the ground up, which means we need people from every discipline—scientists, leaders, strategists, operators, and technologists—united by a drive to apply AI where it matters most.

If you are ready to lead enterprise-scale AI that delivers measurable business value and meaningful patient impact, send your CV and show us how you will make it real.

Date Posted: 04-May-2026

Closing Date: 17-May-2026

Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.