Senior Manager, Clinical Product Analytics

Role Description

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.
• 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.
• 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.
• Partner with data science and engineering on productionizing models into the point-of-care workflow.
• 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.
• Ensure analytics practices meet HIPAA, compliance, and regulatory expectations, and hold up under external scrutiny including audit and validation review.

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.

Benefits

• Medical, dental, and vision coverage.
• Paid time off.
• Retirement savings options.
• Wellness programs.
• Other resources, based on eligibility.