Executive Director, Data Science for Healthcare Operations

CVS Health•York, PA

4d•$175,100 - $334,750

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary: We are seeking an Executive Director, PBM Analytics Product Management to lead and scale a high-impact analytics product portfolio. The Executive Director will oversee teams of data scientists working in product pods side-by-side with data engineering, product management, and design. The mission of these teams is to monitor the performance of operational systems, identify gaps and detect anomalies, and enhance them using advanced analytics and ML/AI. This leader will operate at the intersection of analytics, business strategy, and product management, partnering closely with senior executives to identify, prioritize, and deliver the highest-value opportunities. This role requires a hands-on, execution-oriented leader who can step in on day one, quickly assess opportunities, and drive measurable business impact. The ideal candidate is a data science leader who has deployed analytical products in the healthcare space.

Requirements

15+ years of experience in consulting, analytics, data science, or related fields, with increasing leadership responsibility.
Proven ability to operate effectively at the executive level, with strong executive presence and the ability to influence senior leaders.
Demonstrated expertise in stakeholder management, including aligning cross-functional teams and driving enterprise-wide initiatives.
Familiarity with modern styles of product management, including building and delivering software/data products in complex environments.
Exceptional problem-solving skills with a structured, hypothesis-driven approach.
Experience driving strategy and transformation initiatives, including identifying cost optimization opportunities and translating them into actionable product strategies.
Ability to quickly assess business challenges and begin delivering impact immediately with minimal ramp-up time.
Track record of orchestrating delivery across complex, matrixed organizations.
Strong communication skills, with the ability to clearly articulate strategy, trade-offs, and outcomes.
Bachelor’s degree required.

Nice To Haves

Background in management consulting (highly preferred), data science training, and operating in teams that deliver analytical solutions through software products for business users.
Experience working in (or with) a large technology company (e.g., Big Tech), with exposure to scaled product, platform, or data ecosystems.
Experience in healthcare, PBM, or similarly complex, regulated industries
Strong business acumen with experience connecting product investments to measurable financial outcomes, including cost reduction.
Demonstrated cultural leadership and ability to model desired behaviors, including how they “show up” to drive engagement and alignment.
Degree in computer science, statistics, mathematics or related fields preferred
MBA or advanced degree preferred

Responsibilities

Serve as a trusted advisor and thought partner to VP and C-suite leaders, driving alignment on strategy, priorities, and value realization.
Demonstrate exceptional stakeholder management skills, effectively influencing across functions and levels to drive outcomes.
Navigate complex organizational dynamics with strong executive presence, credibility, and impact.
Orchestrate cross-functional delivery across business, product, engineering, data science, and analytics teams.
Own the end-to-end analytics strategy and solution roadmap for a handful of projects.
Translate business priorities into actionable analytical strategies focused on measurable outcomes, cost optimization, and enterprise value creation.
Identify and prioritize high-impact opportunities by analyzing business outcomes and working backwards to determine key levers for improvement.
Lead hypothesis-driven problem solving and rapid iteration to deliver scalable solutions.
Ensure products are customer- and user-centric, leveraging data, insights, and feedback to continuously refine priorities.
Lead, coach, and develop a high-performing team of data scientists and analysts.
Build a strong data science culture grounded in ownership, collaboration, and continuous learning.
Mentor talent across the organization to elevate analytics capabilities.