Requirements
- 17+ years of experience spanning life sciences and AI or advanced analytics, with meaningful time in a consulting or advisory context
- Demonstrated experience leading or overseeing AI-driven projects in pharma commercial settings, with the ability to speak to what worked, what didn't, and why
- Familiarity with modern AI/ML approaches (LLMs, generative AI, machine learning, agentic systems) at the level of an informed strategic decision-maker
- Practical understanding of commercial AI systems in life sciences -- not just familiarity with tools, but experience with how these systems are designed, deployed, and evaluated in real commercial contexts
- Track record of cross-functional leadership and organizational alignment in complex, fast-moving environments
- Experience owning or contributing to business development in a professional services or consulting context
- Advanced degree in a relevant field (Data Science, Engineering, Life Sciences, Business, or equivalent experience)
Nice to Have
- Demonstrated habit of staying current -- actively testing new tools, following capability developments, and translating what's new into what's relevant for the business and for clients
Additional Information
- Final hiring decisions are ultimately made by humans.
