Description

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.

Position Summary

The Manager, MRF Strategy and Analytics is an actuarial leadership role responsible for advancing Aetna's technical strategy for the analysis, interpretation, and continuous improvement of Machine‑Readable File (MRF) data. Collaborating with their supervisor, this position serves as a subject‑matter expert on MRF data quality, applicability, and limitations in consultant‑led benchmarking and client‑facing analyses.

The role partners closely with Network Actuarial, Data Science, and Sales Enablement teams to translate regulatory transparency data into defensible actuarial insights. Responsibilities include developing tools and guidance that clarify competitive positioning, defining when MRF data is decision‑grade, aligning MRF outputs with claims‑based benchmarks such as UDS, and establishing feedback loops that improve the quality and external credibility of Aetna's MRFs.

In order to be successful in this role you must exhibit the following:

• Demonstrated ability to apply actuarial judgment to ambiguous, incomplete, or imperfect data sources.
• Strong analytical skills with the ability to translate complex findings into clear business insights for technical and non‑technical audiences.
• Experience collaborating across actuarial, data science, and commercial teams.

Required Qualifications

• Bachelors degree required along with 3+ years of Actuarial experience.
• Associate or Fellow of the Society of Actuaries (ASA or FSA), or demonstrated progress toward actuarial credentials.
• 2+ years of experience in healthcare actuarial analysis (e.g., pricing, network, or cost analytics).

Preferred Qualifications

• Knowledge of Machine‑Readable File (MRF) data and healthcare transparency requirements.
• Experience working with large, complex healthcare datasets.
• Familiarity with SQL or similar query languages for extracting, validating, and analyzing data.
• Experience reconciling or benchmarking multiple data sources (e.g., MRF, UDS, claims‑based data).
• Exposure to consultant‑led benchmarking methodologies or external transparency tools.
• Strong technical documentation and communication skills.

Education

• Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field.

Anticipated Weekly Hours
40

Time Type
Full time

Pay Range

The typical pay range for this role is:

$92,700.00 - $203,940.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 06/22/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.