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Sr Manager, Clinical Product Analytics

Remote / Online - Candidates ideally in
Northern, Floyd County, Kentucky, USA
Listing for: Texas Health Institute
Remote/Work from Home position
Listed on 2026-08-24
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 151000 - 204000 USD Yearly USD 151000.00 204000.00 YEAR
Job Description & How to Apply Below
Location: Northern

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 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
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…
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