Manager, Machine‑Readable File Strategy and Analytics

CVS Health•Hartford, CT

19d•Remote

About The Position

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.

Requirements

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).
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.

Nice To Haves

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.

Responsibilities

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.
Establishing feedback loops that improve the quality and external credibility of Aetna’s MRFs.