Senior Director, AI Data Applications & Transformation

About the Role

AstraZeneca is on a bold journey to become the most data-driven biopharmaceutical company in the world. Central to this is our Operational Data Strategy (ODS) function—a team reshaping how data powers everything to inform enterprise decision-making.

As Senior Director, AI Data Applications & Transformation, you will own the business case for AI across ODS—identifying where AI creates the greatest value for operational and patient data, defining the outcomes we need to achieve, and partnering with Data Products & Platforms to bring those solutions to life. You are the bridge between business ambition and AI capability: equal parts strategist, problem owner, and transformation leader.

You will lead a team of AI application specialists and transformation professionals embedded in ODS. Reporting to the Executive Director of Operational Data Strategy, you will be based at our Boston hub with strong connections to global stakeholders across R&D.

• Own the AI use case pipeline: partner with business leaders across AstraZeneca to identify, prioritise, and define where AI applications will create the greatest operational value, with data as the backbone.
• Translate business problems into well-scoped AI application briefs—articulating the desired outcome, data requirements, and success criteria—for delivery in close partnership with Data Products & Platforms.
• Define the 'what' and 'why' of AI applications;
  Data Products & Platforms own the 'how' and the build. Hold that boundary clearly and collaborate across it effectively.
• Maintain a forward-looking view of how AI capabilities can evolve AstraZeneca's operational model and translate that into a prioritised roadmap aligned with enterprise strategy.

• Own the in-life AI application portfolio—its performance and the decisions to scale, sustain, or retire solutions.
• Drive activation into the business—turning AI solutions into real changes in how teams work, not just deployments.
• Stay accountable for the portfolio's realised impact—the operational outcomes and adoption it delivers, not only the demand it defines.

• Partner with senior business leaders to identify high-value transformation opportunities where AI can create step-change improvements in operational performance.
• Drive adoption of AI capabilities by working with change, communications, and training functions to embed new ways of working sustainably across the business.
• Champion an AI-embedded model of operating—ensuring AI is a natural part of how every team in ODS works, not a separate function sitting apart from the business.

• Lead, develop, and inspire a team of AI application specialists and transformation professionals, fostering a culture of curiosity, delivery, and continuous learning.
• Build strong partnerships with R&D and Technology to align AI application priorities with enterprise strategy.
• Represent ODS at senior leadership forums and communicate AI application value clearly to executive audiences.
• Collaborate with external partners, vendors, and academic institutions— including collaborations such as Tufts and Trans Celerate— to accelerate delivery and bring world-class AI capability into the business.

• Ensure all AI applications are deployed in line with AstraZeneca's ethical AI principles, privacy requirements, and regulatory obligations—partnering with Data Products & Platforms & Data Governance, Risk and Trust on the underlying governance infrastructure.
• Own the value narrative for AI applications—articulating the business outcomes each application must deliver and partnering with the dedicated metrics, adoption and literacy team to ensure impact is measured and demonstrated to senior leadership.

• Prioritised, AI use‑case pipeline and roadmap for ODS, agreed with business leaders and aligned to enterprise strategy.
• One to two prioritised AI‑led transformation programmes, scoped with business owners, with target step‑change operational outcomes defined and…