Director, Enterprise AI Process & Innovation

AstraZeneca•Gaithersburg, MD

4d•$186,014 - $279,021•Hybrid

About The Position

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. You will operate at the intersection of business strategy, AI capability, and enterprise delivery. From first idea to production, you will shape use cases, build and test prototypes, and ensure robust solutions that stand up in real operations. This is a hands-on leadership role.

Requirements

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 (e.g. Python, SQL, notebooks)
Working directly with data pipelines, analytical workflows, and machine learning models
Prototyping, testing, and iterating AI solutions from concept 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

Responsibilities

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.
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.
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.
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.
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.
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.
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.