Note: The job is a remote job and is open to candidates in USA. CVS Health’s Signify Health business is building connected, convenient, and compassionate healthcare experiences through in-home and virtual evaluation products. The Senior Manager, Clinical Product Analytics will lead the product and clinical analytics function, define measurement standards for encounter quality and coding integrity, and guide analytics-driven product, clinical, and network performance decisions. The role manages analysts and partners with product, engineering, clinical operations, coding, quality, and compliance teams.
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
Skills
- 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
- 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
Benefits
- Eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
- Includes an award target in the company’s equity award program.
- Remote position in US
- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
Company Overview