Sr Manager, Clinical Product Analytics
Northern, Floyd County, Kentucky, USA
Listed on 2026-08-24
-
IT/Tech
Data Analyst, Data Science Manager
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 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 product ionizing 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
- 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…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).