Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. **Position Summary** Join the Digital Personalization Analytics team for an opportunity to leverage advanced analytics, experimentation, causal inference, and strategic problem solving to grow digital engagement through the enterprise Super App. As a product manager on the AI team, you’ll be responsible for identifying opportunities to enhance personalization capabilities and enable new AI-based app features. As a team supporting the CVS Super App, you’ll be exposed to all the business units within CVS Health. You’ll partner closely with business partners to: + Understand their problems and translate to analytics solutions + Analyze customer journeys to identify opportunities to drive app adoption, engagement, retention and conversion. + Collaborate with Data Scientists and ML engineers to build personalization capabilities using AI and machine learning to personalize the user experience + Design online experiments (A/B testing), measure, and optimize + Leverage techniques like causal inference to supplement experiments where AB testing is not possible or appropriate. + Articulate the impact and value of new digital personalization features to VP+ stakeholders A successful candidate will be one which is able to think independently and critically, enjoys ambiguous problems with data, highly adaptable, and loves to collaborate with both technical and non-technical leaders. **Additional responsibilities include** : + Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and broad knowledge of the organization and/or industry + Collaborates with business partners to understand their problems and goals, develop predictive models, statistical analyses, data reports and performance metrics + Develops and participates in presentations with business partners to share analyses and drive product strategy + Use strong programming skills to explore, examine and interpret large volumes of data in various formats **Required Qualifications** + 3+ years of data mining experience utilizing Python and SQL + 3+ years of experience extracting actionable insights from the analysis and interpreting outcomes of complex models to present to business audiences including technical, non-technical, and senior leaders + 2+ years of experience preparing data for analysis, working with data engineering team to create modeling dataset, assess completeness and quality of data, and perform feature engineering + 2+ years of experience applying knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources + 2+ years of experience with experimental design and measurement **Preferred Qualifications** + Experience designing online experiments (AB testing) + Demonstrates strong ability to communicate technical concepts and implications to business partners + Ability to communicate effectively and confidently with business partners, project team members, and senior management + Ability to anticipate and prevent problems and roadblocks before they occur + Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, experiment design, and predictive modeling and in-depth specialization in some areas **Education** + Master's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. **Pay Range** The typical pay range for this role is: $111,240.00 - $222,480.00 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. In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. For more detailed information on available benefits, please visit Benefits | CVS Health (https://jobs.cvshealth.com/us/en/benefits) We anticipate the application window for this opening will close on: 01/26/2025 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.