Senior Director, Commercial Technology AI Product Management (AI)

TL;DR

Senior Director, Commercial Technology AI Product Management (AI): Building and managing a portfolio of high-value commercial AI products that automate operations, accelerate patient access, and enhance customer experience with an accent on defining and tracking the impact of AI investments. Focus on upskilling and capability building across the functional teams to ensure successful adoption of AI and GenAI capabilities.

Location: Boston, MA. In this Hybrid-Eligible role, you can choose to be designated as: 1. Hybrid: work remotely up to two days per week; or select 2. On-Site: work five days per week on-site with ad hoc flexibility. The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time.

Company

Vertex is a global biotechnology company that invests in scientific innovation.

What you will do

• Define and lead the AI product vision, roadmap, and lifecycle for commercial technology initiatives.
• Translate complex business needs into scalable AI solutions that drive measurable value across marketing, market access, and field operations.
• Partner with Commercial, Data Science, IT, and external stakeholders to identify high-impact AI opportunities aligned with business goals.
• Lead cross-functional teams through the full product lifecycle—from ideation and design to development, deployment, and optimization.
• Horizon scan and identify emerging AI technologies, build and manage AI product roadmap, and drive adoption of cutting-edge autonomous commercial solutions.
• Ensure AI products meet compliance, legal, and ethical standards, including data privacy and regulatory requirements.

Requirements

• Bachelor’s degree in a relevant field (e.g., Business, Computer Science, Engineering); advanced degree (MBA, MS, PhD) preferred.
• 12+ years’ experience with 3+ years pharmaceutical commercial domain experience.
• Strong experience setting agentic AI vision and governance framework development.
• Prior experience building and embedding A.I. into an organization.
• Understanding of multi-agent, hierarchal structures and orchestration e.g. integrating agents and AI solutions with other agents/ platforms across an end-to-end process.
• Hands-on experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI).

Nice to have

• Fine-tuning and context engineering for domain-specific applications.
• Knowledge of model evaluation and performance optimization techniques.
• Emerging technology evaluation, horizon scanning and partnership management experience.
• Hands-on experience building and deploying agentic AI in Pharma/Life Sciences.
• Change management and technology adoption expertise.

Culture & Benefits

• Inclusive market-leading benefits to meet employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations.
• Medical, dental and vision benefits.
• Generous paid time off (including a week-long company shutdown in the Summer and the Winter).
• Educational assistance programs including student loan repayment.
• Generous commuting subsidy.
• Matching charitable donations, 401(k) and so much more.