Director, AI Product Delivery Owner

Vertex Pharmaceuticals • Boston, MA

16h • Hybrid

About The Position

Vertex is expanding its commercial operations across new disease areas and geographies, with increased investment in data, technology, and AI. The Commercial AI Product Management team leads high-value AI products that accelerate commercialization, improve decision-making, simplify operations, and strengthen customer and patient engagement. The team connects business priorities with responsible AI development, product delivery, adoption, and value realization across Commercial, Medical Affairs, External Affairs, and partner functions.

The Director, AI Product Delivery Owner is accountable for the vision, strategy, roadmap, prioritization, delivery, adoption, and lifecycle performance of AI-enabled products supporting Commercial, Medical Affairs, and External Affairs across US and international markets. The role works with business owners and end users, connecting their needs with experience design, architecture, data science, engineering, governance, and adoption capabilities to deliver measurable product outcomes.

The position may be designated hybrid, with remote work up to two days per week, or onsite five days per week with ad hoc flexibility. The role is expected to follow Vertex policies and business requirements, and occasional travel may be required. Vertex encourages continuous learning about AI, technology, automation, and industry trends.

Requirements

• Bachelor’s degree in business, science, engineering, computer science, information systems, data science, design, or a related discipline.
• 10 years of experience in product management, product ownership, digital transformation, business technology, or AI-enabled solution delivery, or equivalent education and experience.
• Experience owning complex products from discovery through delivery, launch, adoption, measurement, and optimization.
• Advanced product management skills, including strategy, roadmaps, prioritization, backlogs, requirements, and outcome measurement.
• Ability to understand business functions and workflows and translate them into scalable product decisions.
• Working knowledge of generative AI, machine learning, analytics, data products, intelligent workflows, and agent-based solutions.
• Ability to evaluate trade-offs across value, feasibility, risk, responsible AI, compliance, cost, and sustainability.
• Strong business analysis skills, including process mapping, requirements, user stories, acceptance criteria, and success metrics.
• Ability to influence senior stakeholders, clarify decisions, resolve ambiguity, and align matrixed teams.
• Strong written, verbal, facilitation, presentation, and executive communication skills.
• Ability to manage dependencies and maintain momentum across business, design, data, engineering, architecture, governance, and adoption teams.
• Ability to balance global reuse with market-specific needs.
• Proactive and organized, with comfort working amid shifting priorities.

Responsibilities

• Develop and communicate product vision, strategy, value proposition, roadmap, outcomes, and lifecycle plans for assigned AI products.
• Understand business strategies, workflows, pain points, and opportunities by engaging leaders, subject matter experts, and end users.
• Translate opportunities and user needs into requirements, epics, stories, priorities, and success measures.
• Own and refine the product backlog, balancing user value, strategic fit, feasibility, risk, compliance, reuse, speed, and cost.
• Lead product discovery and delivery with UX, architecture, data science, engineering, platforms, analytics, governance, and adoption teams.
• Define MVP and release scope and evidence-based criteria for pilot, launch, scale, optimization, maintenance, and retirement decisions.
• Establish decision rights and operating rhythms across business, product, technology, governance, and operations stakeholders.
• Partner with security, privacy, legal, regulatory, compliance, and responsible AI teams to incorporate requirements and controls into product plans.
• Plan adoption and operational readiness, including engagement, communications, training, support, feedback, workflow integration, and post-launch ownership.
• Monitor product value, adoption, user experience, quality, performance, risk, and cost to guide improvements and investments.

Benefits

• Annual bonus eligibility.
• Annual equity awards.
• Medical, dental, and vision benefits.
• Generous paid time off, including a week-long company shutdown in the summer and winter.
• Educational assistance programs, including student loan repayment.
• Commuting subsidy.
• Matching charitable donations.
• 401(k).

What This Job Offers

• Job Type: Full-time
• Career Level: Director