Director, Enterprise AI Process & Innovation

Overview

Join AstraZeneca:
Where AI Meets Life-Changing Impact. As Director, Enterprise AI Process & Innovation, you will lead the translation of strategy into scaled AI outcomes across the company’s most critical end-to-end processes, partnering with senior leaders to focus on the problems that matter and the metrics that prove impact.

• Business partnership and solution shaping:
  Serve as a senior, trusted partner to business leaders to identify, shape, and prioritize AI‑enabled opportunities across enterprise processes. Translate strategic and operational challenges into clear, outcome‑led use cases with success measures and delivery roadmaps, advising on technical trade‑offs and risks to enable confident decisions.
• Enterprise process transformation with AI:
  Lead the design and delivery of AI‑enabled improvements across end‑to‑end processes. Embed intelligence, automation, and advanced analytics into workflows to improve speed, quality, cost, and decision effectiveness. Ensure solutions are designed for scale, reuse, robustness, and long‑term sustainability.
• Technical leadership and hands‑on contribution:
  Engage deeply with AI solutions throughout their lifecycle. Develop or contribute to rapid prototypes and proofs of concept; review and validate model logic, data pipelines, and system behavior, 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.
• 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, managing 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.

• Bachelor’s degree in a scientific, engineering, or technical field, or equivalent practical experience.
• 5 years’ experience in delivering AI‑enabled, data‑led transformation or prototyping, testing, and iterating AI solutions from concept through to scalable implementation in a complex enterprise or regulated environment.
• Proven ability to operate confidently in senior business and executive‑facing contexts.
• Strong hands‑on technical and coding experience, including writing and reviewing production‑quality or production‑adjacent code (Python, SQL, notebooks), working directly with data pipelines, analytical workflows, and machine learning models, and prototyping, testing, and iterating AI solutions from concept through to scalable implementation.
• Deep practical understanding of machine learning concepts and model life cycles, generative AI and modern AI architectures, data platforms, performance considerations, monitoring, and failure modes.

The annual base pay for this position ranges from $186,014 to $279,021. Benefits include qualified retirement programs, paid time off (vacation, holiday, and leaves), and health, dental, and vision coverage in accordance with the terms of the applicable plans.

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.