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Lead Director, Data Science - Retail Pharmacy Analytics

CVSHealth

CVSHealth

Data Science
Wellesley, MA, USA
USD 144,200-288,400 / year + Equity
Posted on Aug 1, 2025

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary

The Retail Pharmacy Analytics team maintains industry-leading analytical solutions to enable a roadmap that drives the technology development & innovation, while delivering high-quality and high-value solutions. This position will be reporting to the Executive Director – Patient Safety and Pharmacy Operations Analytics.

As the Director of Data Science, you'll use your technical and product management expertise to drive our AI innovation to revolutionize the way CVS Pharmacy fills prescriptions. The ideal candidate should have deep knowledge of AI/ML and effective leadership to inspire the team, align cross-functional stakeholders, engage senior leadership, and deliver business results.

Drive and execute the short and long-term data science roadmap and vision in partnership with the professional services and Pharmacy operations business teams

Oversee the development of analytics solutions that deploy advanced machine learning and artificial intelligence methods for a wide range of patient safety & Rx. operation analytics

Leverage technology depth to engage with key leaders across the enterprise to identify new applications of GenAI and AgenticAI

Develop and present meaningful and insights-driven materials on analytical results with recommendations and go forward planning to guide a variety of audiences including internal stakeholders and senior leadership

Develop and mentor data scientists, contribute to their learning and training agenda, knowledge sharing, and provide input on technology stack

We are looking for talented individuals who have a strong sense of ownership, accountability and a desire to deliver high quality analytic products using advanced data driven approaches.


Required Qualifications

  • 10+ years of work experience in healthcare or a related field. In depth understanding of safety and/or operations concepts and metrics in retail
  • At least 6 years of experience in a leadership role, leading Data Science teams in a product-based organization
  • Demonstrated expertise in optimization techniques, GenAI, ML modeling, and statistical analysis applied to large scale prescription dispensing datasets
  • Strong Python, R, and SQL skills, proficiency in working with large datasets,
  • Proven ability to manage multiple complex projects simultaneously in a fast-paced environment
  • Excellent leadership, communication, and cross-functional collaboration skills

Preferred Qualifications
Excellent project management skills with ability to lead and engage in multiple projects and initiatives and appropriately, prioritize her/his own time as well as that of the direct reports, and adjust priorities as needed to meet deadlines.
Education

  • Master's degree in a quantitative field such as management science, operations research, economics, statistics, engineering, data science, or computer science
  • PhD degree preferred

Pay Range

The typical pay range for this role is:

$144,200.00 - $288,400.00


This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

  • Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.

  • No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

  • Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 08/31/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.