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 everythingto informenterprise decision-making.

As Senior Director AI Data Applications & Transformation you will own the business case for AI across ODS-identifying where AI creates the greatestvaluefor 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 embeddedinODS.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.

What Youll Do

AI Application Strategy & Demand Definition

• Own the AI use case pipeline: partner with business leaders across AstraZeneca toidentifyprioritise 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 owns 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 AstraZenecas operational model and translate that into aprioritisedroadmap aligned with enterprise strategy.

AI Portfolio Ownership & Performance

• 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 portfoliosrealisedimpact - the operational outcomes and adoption it delivers not only the demand it defines.

Enterprise AI Transformation

• Partner with senior business leaders toidentifyhigh-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.

Leadership & Stakeholder Engagement

• 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 andTransCelerate- to accelerate delivery and bring world-class AI capability into the business.

Responsible AI & Impact Measurement

• Ensure all AI applications are deployed in line with AstraZenecas 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 andpartneringwith the dedicated metricsadoptionand literacy team to ensure impact is measured anddemonstratedto senior leadership.

Key Deliverables

In your first 12 months

• Aprioritised AI use-case pipeline and roadmap for ODS agreed with business leaders and aligned to enterprise strategy.

• One to twoprioritisedAI-led transformationprogrammes scoped with business owners with target step-change operational outcomes defined and endorsed by senior leadership.

• A clearly articulated value case for the AI application portfolio - the business outcomes each priority application must deliver - agreed with business owners and measured in partnership with the metricsadoptionand literacy team.

• Aresponsible-AIoperating standard for AI applications agreed with Data Governance Risk and Trust and embedded across the portfolio.

• A team and capability plan for the AI application and transformation group with priority hires in place.

On an ongoing basis

• A quarterly-refreshed AI application portfolio andprioritisedroadmap aligned to enterprise strategy.

• Sustained executive alignment and sponsorship for the AI agenda across R&D and Technology supported by regular value andadoptionreadouts to senior leadership forums.

• AI-enabled ways of working embedded across ODS teams with usage and business outcomesevidencedin partnership with the adoption and literacy team.

What Were Looking For

Essential

• 10 years of experience in data and technology roles with at least 5 years in senior leadership positions delivering AI or advanced analytics products at scale.

• Bachelors degree

• Proventrack recordof defining AI use cases owning business outcomes and working with platform or engineering partners to deliver in a complex enterprise environment.

• Strong fluency across the modern AI landscape-LLMs agentic AI and ML modelswith enough technical depth to be a credible partnertoteams.

• Experience leading cross-functional transformationprogrammeswith measurable business impact.

• Exceptional communication and influencing skills; able to translate complex AI concepts for senior non-technical audiences and build conviction around a roadmap.

• Demonstrated ability tooperateat both strategic and hands-on levels-setting direction and rolling up sleeves when needed.

• Experience managing and developing high-performing multi-disciplinary teams.

Desirable

• Experience in the pharmaceutical life sciences or broader healthcare industry.

• Familiarity with responsible AI frameworks and enterprise AI governance.

• Background in working at the interface of business and technology-product management business architecture or similar.

• Experienceoperatingin a global matrixedorganisation.

The annual base pay (or hourly rate of compensation) for this position ranges from 210336.00 - 315504.00 USD Annual (80% - 120%). 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 coverage in accordance with the terms of the applicable plans.

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 ambitious world.

Why AstraZeneca:

Here AI and data are embedded in the way we discover develop and deliver medicines giving you the scale trust and access to make change that matters. You will work at the intersection of cutting-edge AI and world-class science shaping applications that speed decisions from the bench to the clinic and ultimately to patients worldwide. We bring unexpected teams togetherengineers data scientists clinicians and operatorsto solve complex problems with urgency and Boston you will be connected to vibrant biotech and AI ecosystems while collaborating globally across functions that value kindness alongside ambition. Your leadership will help translate science into outcomes backed by meaningful sponsorship modern platforms and a culture that prizes clarity learning and impact.

Call to Action:

Lead the AI applications agenda that accelerates life-changing medicinestake the next step and shape how a global enterprise runs on data and AI!

As AstraZeneca continues to put patients at the forefront of our mission we are excited for our move toKendallSquare/Cambridge in 2026. Find out more information here:KendallSquare Press Release