AI Product Manager
Vertex Pharmaceuticals

Type of Role: Contract position, Inside IR35
Contract length: 6 months
Location: Hybrid, 3 days on site in Paddington, London
Department: Business Engagement & Technology

Looking for opportunities with purpose, impact and possibilities? Our client, Vertex, is a global biotechnology company that invests in scientific innovation. As they grow their pipeline at pace, they are strengthening their reputation for creating transformative medicines for people with serious diseases.

General Summary
Step into a pivotal role shaping the future of AI across International Commercial markets by defining the vision, drive execution, and scale transformative AI products that deliver measurable business impact across the region.
If you’re ready to turn bold ideas into enterprise-scale outcomes and lead the next wave of AI-driven innovation, this is your opportunity to make it happen.
This role owns the end-to-end AI product operating model for International, spanning intake, prioritization, delivery, governance, adoption, and value realization, while ensuring alignment with Global AI governance and future enterprise standards.

Key Duties and Responsibilities:

• Define and own the International AI product vision, roadmap, and operating model including adoption of general AI technology, enhanced/platform AI technology, responsible AI use and scaling.
• Lead use case intake, backlog refinement, and prioritization using a transparent value vs feasibility framework.
• Focus on IHQ Commercial teams, and partner functions (Finance, Legal, Supply Chain, HR, country teams, etc) as appropriate to realize high-impact AI use case value.
• Ensure all AI initiatives are anchored to clear business problems, owners, KPIs, and benefits hypotheses.
• Balance innovation with execution discipline - explicitly deciding what to scale, stop, park, or defer.
• Deliver enterprise AI capabilities by partnering closely with technology, platform, security, and compliance teams.
• Success to be measured by evaluating use case benefit realization (e.g., time saved, cycle time reduced, quality improvement, business growth) and adoption.
• All AI initiatives have a named business owner and defined outcome KPI at intake.
• AI governance, compliance, and legal standards met.

• Strong experience in commercial Pharma analytics and AI product management, data, or advanced solutions, with the ability to translate real business problems into, clear, prioritized work.
• Practical understanding of different AI approaches (off-the-shelf, enhanced, and custom solutions), and when each is appropriate.
• Proven ability to work across multiple functions, influence senior stakeholders, and make clear trade-off decisions.
• Able to define success measures, track outcomes, and use data to guide decisions.
• Clear communicator who can structure working sessions with a cross-functional and matrix team, explain technical topics in plain language, and maintain focus on delivery and measurable outcomes.
• Working in regulated environments and engaging early with legal, compliance, privacy, and security partners.