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CVS Health Lead Director, Medicare Growth Analytics in Wellesley, Massachusetts

Job Description

Want to help drive the next level of growth at a leading national B2C healthcare brand, touching millions of prospects and members? We’re looking for go-to-market leaders to drive innovation and growth in Aetna Medicare, using consumer marketing, sales, and product design that leverages data science and consulting skills to help Aetna acquire new members and retain our existing members. Our Medicare Analytics team is integrated into all of Aetna’s go-to-market activities, including overall growth strategies, business case development, customer segmentation, product design, lead gen marketing (including geo and media mix planning, customer targeting, and impact measurement), lead conversion and broker sales, and member retention. We infuse data science into all growth analytics, powered by a world-class Hadoop cluster, petabytes of data, and the latest machine learning techniques. During Open Enrollment, our industry-leading Medicare War Room uses analytics and data science to drive continuous innovation and real-time optimization of all in-flight activities. Medicare is CVSH’s growth powerhouse - in the past 4 years our membership has doubled, and our market share has grown 50%; you will help us take all this to the next level, using your industry knowledge, passion for problem solving and quantitative analysis, and skills in communication and client management to identify, incubate, and deploy the next set of innovations to power the growth of tomorrow’s business! Position summary:Senior leader, reporting to AVP, Medicare Growth Analytics as Chief of Staff with focus on integrating analytics driven strategy across acquisition, upsell/cross-sell, and retention. Leads long term projects made up of mixture of data scientists and analytic consultants, plus affiliated data engineers and external vendors. The position is office based in our NYC, Wellesley, MA, or Hartford, CT locations.Specific duties to include one or more of below go-to-market activities:1. Growth strategy a. Systematically assess drivers of Medicare growth, including i. Current and potential attractiveness of major customer segmentsii. Product competitiveness vs local and national competitorsiii. Sales funnel limiters to drive additional lead generation, lead conversion, retention b. Data analytics: use market, product, customer data to develop diagnostic analyses, size opportunities, and business casec. Implementation strategy: partner with segment and functional leaders to develop a shared vision, including multi-year strategy, tactical recommendations, milestones2. Marketing analytics a. Opportunity identification: size / prioritize acquisition, and cross-sell opportunitiesb. Customer analytics, including segmentation, LTV, prospect scoringc. Demand gen campaign designd. Impact measurement / tracking3. Sales analytics a. Sales capacity, goals, and incentivesb. Identify opportunities for additional lead conversion and broker sales c. Impact measurement / tracking4. Retention analyticsa. Lapse driver analysisb. Membership forecastingc. Retention campaign analytics5. Upsell / Cross-sell analyticsa. Conversion propensity modelingb. Member journey mapping6. Stakeholder management / developmenta. Develop and deepen relationships with senior (VP+ level) stakeholdersb. Link stakeholder goals / priorities with analytic capabilitiesc. Executive level communications, including communicating complex analytics concepts simply

Pay Range

The typical pay range for this role is:

Minimum: 120,000

Maximum: 265,000

Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls. The actual salary offer will take into account a wide range of factors, including location.

Required Qualifications

• 5+ years of experience leading diverse teams, including leadership of data scientists, data engineers, analytic consultants, or other analytics professionals• 8+ years of experience working in a marketing analytics function with responsibilities over strategy development, analytical tool development, and managing teams.• 8+ years of hands-on experience in applying/building statistical or machine learning models, predictive modeling, forecasting, multivariate analysis, multi constraint optimization problems, marketing mix, segmentation, and attribution techniques.

Preferred Qualifications

• Experience leading large consulting and/or analytics teams, with a focus upon impact and innovation• Prior Medicare or Health plan experience• B2C marketing and/or growth strategy powered by data science• Change agent: demonstrated ability to create case for change • Excellent strategic thinking capabilities with ability to derive insight and recommendations from data


Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.Master’s degree or PhD preferred

Business Overview

Bring your heart to CVS HealthEvery 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. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. 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.