Director, AI Product Development

• Own the full AI product lifecycle: from problem definition and   customer   research through   AI   development, 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 brand   objectives , field workflows, and launch timelines.

• Partner with technical   delivery   leads, engineering, and data science teams to translate requirements into scalable and governed solutions, ensure high-quality, timely execution. Establish clear RACI,   maintain   alignment on priorities, and drive accountability across a cross-functional delivery model.

• Drive adoption and   impact   measurement. Define success criteria before   launch ; 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 with   appropriate documentation .

• Stay current with GenAI, agentic AI, and pharma AI trends.   Identify   emerging 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.

• 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 experience   in 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

• 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.