CVS Health

Sr Manager, Clinical Product Analytics

CVS Health Texas, United States · $118K–$237K/yr

Hospitals and Health Care · 10,001+ employees

Yesterday
Remote Senior (5-10 yrs) Full-time United States
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About the role

Lead and mentor a team of product and clinical analysts to define and measure clinical encounter quality, diagnostic accuracy, and coding integrity. Partner with cross-functional teams to translate technical findings into actionable strategies that drive product roadmaps and clinical performance.

What they look for

Product analytics Clinical analytics Data science SQL Python R Dbt Git A/B testing Causal inference Power BI Population health Healthcare data Risk adjustment Team management Stakeholder management

Requirements

Requires a bachelor's degree in a technical field and 7-10 years of experience in product or clinical analytics, including at least 2 years in a management role. Proficiency in SQL, Python or R, and experience with analytics engineering frameworks like dbt and causal inference methods are essential.

Benefits

Medical coverage Dental coverage Vision coverage Paid time off Retirement savings options Wellness programs Equity award program Short-term incentive program

Full description

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

CVS Business Unit: Signify Health Location / Logistics: Remote position in US with some travel required

Position Summary We are seeking an experienced Senior Manager, Clinical Product Analytics to lead the analytics function supporting our in-home and virtual evaluation products. This leader owns the measurement strategy for clinical encounter quality, diagnostic accuracy, and coding integrity — translating clinician, member, and claims data into the evidence base that drives product roadmap, clinical protocol design, and network performance decisions.

As Senior Manager, you will lead a team of product and clinical analysts and partner closely with engineering, product, clinical operations, coding/HIM, quality, and compliance. You will set the standards for how the organization defines and measures a high-quality encounter, and you will be accountable for the analytics that senior leadership uses to steer the business.

Roles and Responsibilities:

  • Lead, mentor, and manage a team of product/clinical analysts, including hiring, goal setting, formal performance review, and technical career development
  • Own the definition and governance of the clinical product metric set — encounter completion and yield, documentation completeness, diagnostic specificity, condition capture and confirmation rates, care gap and screening closure, clinician productivity and quality scores, and product profitability
  • Set the standard for analytics engineering across the function: dbt models, semantic layer definitions, Git-based version control, testing, and documentation, so that a metric means the same thing in every dashboard, deck, and payer deliverable
  • Direct the Power BI portfolio for product health and clinician network performance; establish criteria for what earns a permanent dashboard versus what stays an ad hoc analysis
  • Set the causal inference standard for the function — govern experiment design where A/B testing is feasible and adjudicate method selection (Diff-in-Diff, propensity score matching, instrumental variables, interrupted time series) where it is not, particularly for clinical protocol and workflow changes that cannot be randomized at the member level
  • Build the evidence base for coding integrity and audit readiness, including coding pattern and outlier analysis, inter-rater and clinician variation analysis, and retrospective review of documentation supporting submitted diagnoses
  • Apply population health methods — cohort construction, prevalence and incidence estimation, risk stratification, burden-of-illness and social determinants analysis — to identify where encounters are and are not reaching the members who benefit most
  • Partner with data science and engineering on productionizing models into the point-of-care workflow (prospective condition suspecting, screening instrument prioritization, documentation prompts), owning the offline evaluation and post-deployment monitoring plan
  • Develop ROI projections and prioritize the analytics roadmap by business impact; manage resourcing, intake, and delivery commitments across competing product and clinical stakeholders
  • Advise senior leadership and enterprise partners on data-driven strategy, translating technical findings and their limitations into recommendations a non-technical executive audience can act on
  • Ensure analytics practices meet HIPAA, compliance, and regulatory expectations, and hold up under external scrutiny including audit and validation review

Basic Qualifications:

  • Bachelor's degree in a technical field (Statistics, Data Science, CS, Engineering, Epidemiology/Biostatistics, or related)
  • 7-10 years of experience in product analytics, clinical analytics, or data science, including 2+ years directly managing analysts or data scientists
  • Demonstrated ownership of an analytics roadmap end to end, from stakeholder intake through delivery and adoption
  • Advanced SQL and working proficiency in Python or R
  • Experience with dbt (or similar analytics engineering frameworks) and Git-based development workflows
  • Experience with A/B testing and causal inference methods, and sound judgment about when each is appropriate
  • Experience partnering with data engineering teams on pipeline design and data quality
  • Ability to tell compelling stories through data and articulate technical information to non-technical and clinical audiences

Preferred Qualifications:

  • Experience with healthcare data — claims, EHR/clinical documentation, HEDIS or Star Ratings measures, ICD-10-CM and HCC risk adjustment
  • Advanced degree in Public Health, Epidemiology, Biostatistics, Health Informatics, or a related field
  • Power BI experience at portfolio scale, including workspace governance and row-level security
  • Familiarity with advanced causal inference techniques (e.g., instrumental variables, synthetic control)
  • Clinical coding credential (CRC, CPC) or direct experience supporting coding quality, audit, or validation programs
  • Experience in value-based care, Medicare Advantage, or home-based care delivery

Pay Range

The typical pay range for this role is:

$118,450.00 - $236,900.00 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 offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/31/2026

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