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 :
As the Lead Director of Patient Engagement and Personalization, you will lead a high-performing team of analytics professionals and technical product talents to personalize pharmacy services for 100M CVS Pharmacy customers. In this role, you will have the opportunity to combine business strategy and data/analytics assets to design, develop, test, scale, and evolve outbound pharmacy communications and campaigns. You will partner cross-functionally with product owners, clinical SMEs, data engineering, data science, digital and IT teams to uncover opportunity areas to drive immunization, support commercialization of retail pharmacy services, and shape seamless patient experiences. You will also mentor and coach a super talented team and have constant exposure to senior leadership at VP and SVP levels.
Key responsibilities include:
Manage a diverse portfolio of patient engagement and campaign initiatives to drive immunization, build commercializable patient engagement services and capabilities for health plan and pharma clients, and continuously improve customer experience
Own the strategy and roadmap of the patient engagement as a service portfolio and set directions for the team balancing short-term and long-term priorities
Manage a team of high-performing analytics professionals to perform deep data analytics to derive actionable business insights and uncover new opportunity areas to improve customer outreach and campaign effectiveness
Lead a cross-functional team of data analysts, data scientists and data engineers to execute experiments and campaigns to rapidly test new patient outreach tactics and scale up winners
Constantly assess business needs, emerging priorities, and risks. Make data-driven decisions on timeline, resourcing, and prioritization across project teams
Effectively partner and influence various internal stakeholders including other business and product teams, data engineering and data science teams, pharmacy operation, IT and Digital
Work across the boundary to partner with both business and technical teams to identify personalization use cases and capability enhancement opportunities (e.g., AI use cases, tech stack enhancements) to further evolve the personalization and experimentation technology
Attract, develop, and retain top analytics and technical product talents. Create an engaging and supportive environment where team members could continuously learn, grow, and thrive.
Required qualifications:
8 years of relevant experience in analytics or technical product management (or an equivalent combination of education and experience)
Extensive experience working withdata scientists and engineers
Prior hands-on coding experience with at least one of the programming languages; ability to read and understand technical/code details when needed
Strong understanding of descriptive and inferential statistics. Working knowledge of design of experiments and observational studies
Ability to develop vision, strategy and roadmap on leveraging data and analytics to drive business value
Excel at working across boundaries to partner with technical and business leadership in a cross-matrixed environment
Strong executive presence and ability to influence stakeholders and senior leadership
Experience in building/managing a high performing analytics team and developing the next generation of business analytics leaders
Preferred Qualifications :
Master's degree or PhD in a quantitative field
Working knowledge of cutting-edge technology (e.g., digital, AI)
Experience with cloud computing and programming in a cloud platform (e.g. Azure, GCP, AWS)
Experience with SQL, Python and PySpark
Strong understanding of both machine learning and generative AI
Education :
Bachelor's degree or above in a quantitative field (e.g., statistics, analytics, public health, business administration, etc.)
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: 06/21/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
