Senior Director, Commercial Technology AI Product Management

Job Description

Vertex is seeking a strategic Senior Director to lead AI Product Management within our Commercial Technology organization. This role will be responsible for building and managing a portfolio of high-value commercial AI products that automate operations accelerate patient access and enhance customer experience. The Senior Director will define and drive the AI strategy lead the development and adoption of agentic AI-powered solutions and collaborate closely with business engagement and platform teams to deliver measurable value. A key focus will be on defining and tracking the impact of AI investments fostering upskilling and capability building across the functional teams to ensure successful adoption of AI and GenAI capabilities.

Key Duties and Responsibilities

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 lifecyclefrom 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.

Champion a culture of innovation experimentation and continuous improvement in AI product development.

Serve as a trusted advisor to senior leadership providing insights and recommendations grounded in data and commercial strategy.

Knowledge and Skills

Proven expertise in AI / ML product management within a commercial or healthcare technology context.

Deep understanding of commercial strategy market access and the pharmaceutical value chain.

Strong leadership in cross-functional environments with the ability to influence and align diverse stakeholders.

Demonstrated ability to translate business challenges into AI-driven solutions with measurable outcomes.

Advanced proficiency in commercial competencies including :

Insight Generation : Forecasting data synthesis and customer experience insights.

Commercial Strategy : Portfolio planning lifecycle management and brand value creation.

Commercial Execution : Market access planning vendor management and performance accountability.

Business-Minded Leadership : Risk management resource allocation and innovation strategy.

Influential Communication : Executive-level storytelling negotiation and stakeholder engagement.

Trusted Partnership : Cross-functional collaboration and inclusive leadership.

Education and Experience

Bachelors degree in a relevant field (e.g. Business Computer Science Engineering); advanced degree (MBA MS PhD) preferred.

Experience in the biotech pharmaceutical or healthcare technology industry strongly 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)

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

Executive communication and influence skills

Pay Range : $236000 - $354000

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 Vertexs Policy on Flex @ Vertex Program and may be changed at any time.

#LI-Hybrid

Company Information

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

Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a persons race color sex gender identity or expression age religion national origin ancestry ethnicity disability veteran status genetic information sexual orientation marital status or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities in accordance with applicable law.

Any applicant requiring an accommodation in connection with the hiring process and / or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager or contact Talent Acquisition at

Required Experience :

Exec

Key Skills

Forecasting,Hyperion,Cost Management,Construction Estimating,QlikView,Bus Driving,Analysis Skills,HubSpot,Salesforce,Market Research,negotiation,Financial Planning

Employment Type : Full-Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 236000 - 354000