Sr Manager, Clinical Product Analytics

Job 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 HealthLocation / Logistics: Remote position in US with some travel requiredPosition SummaryWe 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