Senior Director - AI Transformation Program Strategy

Job Description

At Vertex, we continue to invest in a future-ready workforce where AI helps people strengthen expertise, improve decision-making and create greater impact for our people and patients. We are looking for a Senior Director - AI Transformation Program Strategy to help prioritize and coordinate the portfolio of big bets we are making to reinvent our most important workflows with AI. 

Reporting to the VP, AI Transformation, you will lead the enterprise portfolio strategy for Vertex’s AI transformation by prioritizing, sequencing, and tracking the portfolio of reinvention projects, to ensure we scale responsibly and strategically. 

You will provide senior leaders with a clear, real-time view of the whole portfolio, so they can see how reinvention projects are progressing, where progress is at risk, and where to accelerate, pause, or resequence. This includes building the models, frameworks, and reporting that support enterprise decisions, aligning teams and navigating dependencies, and partnering closely with Finance, AI Transformation Operations, Workforce Strategy & Innovation, Data Technology & Engineering, and functional leaders to keep the portfolio focused, current, and tied to real business value. 

To succeed, you will bring clarity to a portfolio of deeply connected projects across teams, providing a shared, evidence-based view of progress, dependencies, and decisions. You will model responsible use by continuously learning, applying AI to innovate your own work, and championing practices that create value. 

Key Duties & Responsibilities:

• Enterprise portfolio view. Maintain a single, current view of Vertex’s AI transformation portfolio, including each project’s purpose, scope, status, timing, expected value, readiness, risks, and key dependencies. 

• Portfolio prioritization. Develop recommendations on which reinvention projects should move forward and how they should be sequenced based on strategic importance, expected value, readiness, risk, dependencies, and organizational capacity. 

• Investment governance. Design and facilitate a consistent process for reviewing investments and supporting decisions to accelerate, pause, resequence, or stop work. 

• Portfolio interdependencies. Identify and navigate the dependencies across projects, teams, timelines, and resources, and adjust sequencing as those dependencies shift. 

• Cross-functional alignment. Build alignment among project sponsors, functional leaders, and key partners so priorities, responsibilities, decisions, and expectations remain clear across the portfolio. 

• Executive reporting and decision support. Give senior leaders a concise, evidence-based view of portfolio progress, emerging risks, and upcoming decisions, along with the scenarios, portfolio models, and recommendations they need to weigh competing priorities and decide with confidence. 

• Investment and capacity alignment. Partner with Finance, Data Technology & Engineering, Workforce Strategy & Innovation, AI Transformation Operations, and functional leaders to connect portfolio priorities with available funding, resources, delivery capacity, and workforce readiness. 

• Portfolio evolution. Regularly refresh the portfolio as business priorities, evidence, technology, and external developments change, keeping Vertex’s AI transformation focused on the opportunities with the greatest potential value. 

Knowledge and Skills:

• Deep knowledge of enterprise portfolio strategy, investment governance, prioritization, sequencing, and portfolio-performance management. 

• Strong analytical and strategic-thinking skills, including the ability to integrate incomplete or competing information into clear, evidence-based recommendations. 

• Strong financial and business acumen, including the ability to interpret value cases, investment assumptions, capacity constraints, and portfolio-performance evidence. 

• Ability to identify and evaluate interdependencies across projects, functions, resources, timelines, and strategic priorities. 

• Ability to build and interpret portfolio models, scenarios, decision frameworks, and executive-level portfolio views. 

• Excellent executive communication and data-storytelling skills, with the ability to translate complex portfolio evidence into concise choices and recommendations. 

• Strong cross-functional influence and alignment skills, particularly across Finance, Workforce Strategy & Innovation, Data Technology & Engineering, AI Transformation Operations, and business functions. 

• Practical fluency with AI tools and emerging AI capabilities, with the ability to apply AI responsibly to research, analysis, scenario development, and portfolio insight. 

• Ability to operate effectively as enterprise priorities, evidence, technology, and external conditions evolve. 

Education and Experience:

• Bachelor’s degree in business, finance, strategy, economics, engineering, analytics, or related field – or relevant experience
• Advanced degree preferred.

• Typically requires 12 or more years of experience in enterprise portfolio strategy, corporate strategy, strategic finance, investment governance, or transformation strategy, or the equivalent combination of education and experience. 

• Demonstrated experience developing recommendations for prioritizing and sequencing a complex portfolio of enterprise investments or transformation programs. 

• Experience designing or facilitating portfolio governance and supporting senior leaders through consequential investment, prioritization, or resource-allocation decisions. 

• Experience integrating strategic, financial, operational, workforce, risk, and delivery evidence into a coherent portfolio view. 

• Experience developing scenarios, portfolio models, and executive recommendations that clarify choices, implications, and interdependencies. 

• Experience advising senior executives and building alignment across functions with different priorities, constraints, and perspectives. 

Pay Range:

Disclosure Statement:

Flex Designation:

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
 

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 person's 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 ApplicationAssistance@vrtx.com