Senior Manager, Informatics

CVS Health

Remote

Quick summary

Work type
Remote
Location
Hartford, CT
Posted
6 days ago
Closes
Jul 6, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $196k
$140k most similar roles pay here $246k

This listing doesn't post a salary. Most similar roles pay $165,000–$226,600.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 409 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 135 roles with salary data.

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At a glance

TL;DR · Senior Manager, Informatics

Aetna Resources, LLC., a CVS Health company, seeks a Senior Manager of Informatics in Hartford, CT, with the option for telecommuting. This role involves consulting with internal stakeholders to identify opportunities and develop data science solutions that transform raw data into actionable insights supporting healthcare policy, benefits, and operations. Day-to-day responsibilities include designing analytical capabilities using industry-leading tools like PowerBI or Tableau, generating reports for business leaders, and developing predictive models through advanced algorithms and machine learning techniques on large datasets from various sources such as PBM, Specialty, Retail, and HealthCare. The ideal candidate holds a Master’s degree in Computer Science, Business Analytics, or related fields and has experience with SQL, SAS, ETL processes, Hadoop, Python, R, and data analytics in the healthcare sector.

What you'll do

  • Design and develop new analytical capabilities using industry-leading tools for healthcare policy and operations.
  • Generate reports for business leaders based on trend data to support strategic objectives and improve population health.
  • Develop advanced algorithms and predictive models to evaluate scenarios and predict outcomes in health metrics.
  • Utilize data mining, natural language processing, and machine learning to extract and manipulate large datasets from multiple sources.
  • Profile data and develop efficient ingestion processes by sourcing data from various business units within the company.

What we're looking for

  • Master’s degree in Computer Science, Business Analytics, or related field required.
  • 2 years of experience with SQL/SAS and visualization tools like PowerBI/Tableau.
  • Experience in ETL processes, data analytics on large healthcare datasets.
  • Knowledge of relational database concepts, machine learning, statistical analysis.
  • Proficiency in Python/R programming languages and Hadoop.

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