Director, AI Product Development

Make a greater impact on lives through a digitally enabled enterprise. We are working towards our aspirationof craftingthe future of Pharma. Backed by investment at every step, we harness the latest technology, data, and innovative ways of working to introducenew approachesthat put Digital at AstraZeneca's heart. Be part of a chapterthat'sstill being written. Trusted and empowered to change the way things are done, with the tools and support to get you there. Here we are free to unleash our curiosity and turn thinking into reality where smart risks and quick decisions come together to power disruption and innovation. This is a product leadership role: you will own the end-to-end lifecycle of AI-powered applications that go into the hands of field and headquarters teams, driving decisions that affect patients and brands at scale. The Role: The Director, AI Product Developmentispart oftheAI for Commercial (AIC) team within the newly founded Enterprise AI organization. You will lead the design, build, launch, and adoption of GenAI and ML-powered products that serveGlobal and US functions includingcommercial, medical,market access, and patient programs. You define the roadmap, drive cross-functional execution, and are accountable for measured business impact. Key Responsibilities • Own the full AI product lifecycle: from problem definition andcustomerresearch throughAIdevelopment, UX design, deployment, adoption, and measurement. This means shipping products, not delivering reports. • Lead GenAI and agentic AI product development. Define product requirements and functional specifications for AI-powered applications, agentic workflows, and ML-driven tools serving medical, commercial, and field teams. • Translate business questions into product requirements. Partner with Marketing, Medical Affairs,GIBEX, Field Operations, and IT to align product capabilities with brandobjectives, field workflows, and launch timelines. • Partner with technicaldeliveryleads, engineering, and data science teams to translate requirements into scalable and governed solutions, ensure high-quality, timely execution. Establish clear RACI,maintainalignment on priorities, and drive accountability across a cross-functional delivery model. • Drive adoption andimpactmeasurement. Define success criteria beforelaunch; track usage, output quality, and downstream business impact post-launch. Communicate results to leadership with clarity. • Operate within enterprise AI governance. Navigate compliance requirements, data access controls, vendor management, and IT approval processes. Ensure all products are deployed responsibly and withappropriate documentation. • Stay current with GenAI, agentic AI, and pharma AI trends.Identifyemerging capabilities with strategic fit, pilot solutions with speed and rigor, and champion a platform-centric approach that enables reuse, scalability, and accelerated deployment across functions and markets. MinimumRequirements • Bachelor's degree in a quantitative field (Computer Science, Statistics, Engineering, Economics, or equivalent); advanced degree preferred • 7+ years of experience building and shipping data science or AI products in a commercial setting; 3+ years of experiencein building Gen AI tools and platforms. • Demonstrated experience owning an AI product end-to-end: requirements, development, deployment, and post-launch measurement • Familiarity with LLMs, prompt engineering, RAG architectures, and/or agentic frameworks (e.g.,LangChain,LlamaIndex, or similar) • Fluency in Python and ML/AI tooling; experience with cloud platforms (AWS, Azure, or GCP) • Strong product thinking: ability to define user needs, write clear requirements, prioritize a backlog, and communicate tradeoffs to customers • 3+ years in Pharmaceutical or Life Sciences; familiarity with commercial data and field-facing workflows Desirable Requirements • Experience building GenAI products under enterprise governance requirements • Background spanning multiple functions: Commercial, Medical Affairs, Market Access, or Insights & Analytics • Demonstrated ability to drive user adoption: training, change management, and usage analytics • Experience managing external suppliers and consultants against defined deliverables and timelines • Strong executive communication skills; comfortable presenting product roadmaps and cases to senior leadership in a matrixed organization When we put unexpected teams in the same room, we unleash bold thinking with the power to encourage life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. The annual base pay for this position ranges from $186,014 - $279,022 USD