Ladders
Sr Manager, Clinical Product Analytics
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
United States
Work mode:
Onsite
Published on:
25 August 2026
What they need
For our client, we are seeking a Sr Manager Clinical Product Analytics to join the team of a leader in the Healthcare space. This role will turn data into practical insight that improves visibility, decision-making, and business performance. You will partner with business, technical, and operational stakeholders to build reporting, surface trends, and translate analysis into action. The position offers the opportunity to strengthen data-driven execution and help teams focus on the metrics that matter most within a healthcare environment.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $118,450 – $236,900 annually
Responsibilities
- Lead, mentor, and manage a team of product/clinical analysts
- Own the definition and governance of the clinical product metric set
- Set the standard for analytics engineering across the function
- Direct the Power BI portfolio for product health and clinician network performance
- Set the causal inference standard for the function
- Build the evidence base for coding integrity and audit readiness
- Apply population health methods to identify gaps in member encounters
- Partner with data science and engineering on integrating models into clinical workflows
- Develop ROI projections and manage the analytics roadmap
- Advise senior leadership on data-driven strategy
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
Benefits
- Comprehensive medical, dental, and vision coverage
- Paid time off
- Retirement savings options
- Wellness programs and resources
- Eligibility for an equity award program
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
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