Lead Director, Data Science - Retail Pharmacy Analytics

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 SummaryThe 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

• 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

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

• 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.