About this role

Job Description

Role Summary

Vertex is entering an exciting phase of commercial diversification. As we expand into new pipeline disease areas and new geographies, we are investing in data, technology, and AI to scale commercial operations globally. The Commercial, Medical and External Affairs Technology team is expanding our capabilities with increased investment in data, platforms, and AI.

The Commercial AI Product Management team leads a portfolio of high-value AI products that help accelerate commercialization, improve decision-making, simplify operations, and strengthen customer and patient engagement. The team connects business priorities with responsible AI capability 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 closely with business owners and end users and connects their needs with experience design, architecture, data science, engineering, governance, and adoption capabilities to deliver measurable product outcomes.

Key Duties & Responsibilities

- Develop and communicate product vision, strategy, value proposition, roadmap, outcomes, and lifecycle plans for assigned AI products.
- Build understanding of business strategies, workflows, pain points, and opportunities through engagement with leaders, SMEs, and end users.
- Translate opportunities and user needs into requirements, epics, stories, priorities, and success measures.
- Own and refine the 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, with 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 embed requirements and controls into product plans.
- Plan adoption and operational readiness, including engagement, communications, training, support, feedback, workflow integration, and post-launch ownership.
- Monitor value, adoption, user experience, quality, performance, risk, and cost to guide improvements and investments.

Required Education & Experience

- Bachelor’s degree in business, science, engineering, computer science, information systems, data science, design, or 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 is required.

Required Knowledge/Skills

- 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, organized, and comfortable with shifting priorities.

Other Requirements

- Occasional travel may be required based on business need.
- This role is expected to work on-site or in a hybrid arrangement in accordance with Vertex policies and business requirements.

#LI-HYBRID

At Vertex, we embrace continuous learning and encourage employees to stay informed on advances in AI, technology, automation, and industry trends. We seek talent who bring an external perspective, demonstrate curiosity and sound judgment, and thoughtfully adopt new capabilities that improve decision-making, drive innovation, increase efficiency, and help deliver better outcomes for patients.

Pay Range:
$219,200 - $328,800

Disclosure Statement:

The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.

At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.

Flex Designation:
Hybrid-Eligible Or On-Site Eligible

Flex Eligibility Status:

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.

Note: The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time.

#LI-Hybrid