Senior Manager, Clinical Product Analytics

This is a fully remote position, open to applicants in Texas.

📋 Description

• Lead, mentor, and oversee a team of product and clinical analysts, which includes responsibilities for hiring, goal setting, conducting formal performance reviews, and fostering technical career development.

• Take ownership of defining and governing the clinical product metric set.

• Establish analytics engineering standards, encompassing dbt models, definitions of the semantic layer, Git-based version control, testing, and documentation.

• Manage the Power BI portfolio focused on product health and clinician network performance.

• Define the standard for causal inference and supervise experiment design and method selection.

• Construct the evidence base necessary for coding integrity and audit preparedness.

• Utilize population health strategies to pinpoint encounters that most benefit members.

• Collaborate with data science and engineering teams to implement models into point-of-care workflows.

• Oversee offline evaluations and post-deployment monitoring plans.

• Create ROI projections and prioritize the analytics roadmap based on business impact.

• Manage resources, intake, and delivery commitments across product and clinical stakeholders.

• Provide guidance to senior leadership and enterprise partners regarding data-driven strategies.

• Ensure that analytics practices comply with HIPAA, regulatory, and compliance expectations, and are capable of enduring audit and validation reviews.

⛳️ Requirements

• Bachelor's degree in a technical discipline such as Statistics, Data Science, Computer Science, Engineering, Epidemiology/Biostatistics, or a related field.

• 7–10 years of experience in product analytics, clinical analytics, or data science.

• At least 2 years of direct management experience with analysts or data scientists.

• Proven track record of managing an analytics roadmap from stakeholder intake to delivery and adoption.

• Proficiency in advanced SQL.

• Working knowledge of Python or R.

• Familiarity with dbt or comparable analytics engineering frameworks.

• Experience with Git-based development workflows.

• Knowledge of A/B testing and causal inference methodologies.

• Experience collaborating with data engineering teams on pipeline design and data quality assurance.

• Ability to articulate technical information to both technical and clinical audiences.

• Preferred: experience with healthcare data, including claims, EHR/clinical documentation, HEDIS or Star Ratings, ICD-10-CM, or HCC risk adjustment.

• Preferred: advanced degree in Public Health, Epidemiology, Biostatistics, Health Informatics, or a related field.

• Preferred: extensive experience with Power BI at a portfolio scale, including workspace governance and row-level security.

• Preferred: advanced knowledge of causal inference techniques such as instrumental variables or synthetic control.

• Preferred: clinical coding credentials like CRC or CPC, or experience in coding quality, auditing, or validation.

• Preferred: familiarity with value-based care, Medicare Advantage, or home-based care delivery.

🏝️ Benefits

• CVS Health bonus, commission, or short-term incentive program in addition to the base salary range.

• Award target in the company’s equity award program.

• Medical coverage.

• Dental coverage.

• Vision coverage.

• Paid time off.

• Retirement savings options.

• Wellness programs.

• Additional resources supporting physical, emotional, and financial well-being.