Director, Enterprise AI Process & Innovation

Join AstraZeneca: Where AI Meets Life-Changing Impact

Do you want to drive significant improvements across our entire value chain with the executive sponsorship and investment to back it

As Director Enterprise AI Process & Innovation you will lead the translation of strategy into scaled AI outcomes across the companys 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. How will you connect generative AI automation and advanced analytics to improve speed quality cost and decision confidence across the enterprise

This is a hands-on leadership role. .

Accountabilities:

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. 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 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.

Essential Skills/Experience:

• Bachelors 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

When we put unexpected teams in the same room we unleash bold thinking with the power to inspire life-changing -person working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and bold world.

We are AstraZenecas Enterprise AI Unita 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-scientist leaders strategists operators and technologistsunited 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.

The annual base pay for this position ranges from $186014 to $279021. Our positions offer eligibility for various incentivesan opportunity to receive short-term incentive bonuses equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs paid time off (i.e. vacation holiday and leaves) as well as health dental and vision coveragein accordance withthe terms of the applicable plans.

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Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and 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.