Data analytics and health IT for public sector health programs
Altarum operates a data-driven delivery model for government health agencies, combining dbt, Power BI, Tableau, and Looker across multiple health domains (Medicaid, maternal health, behavioral health, social determinants). The tech stack reveals a mature analytics backbone optimized for public-sector reporting, now expanding into MLOps (adopting MLflow) and generative AI—signaling a shift from descriptive dashboards toward predictive modeling and AI-assisted research. Hiring momentum is accelerating across data and healthcare roles at senior levels, reflecting aggressive growth targets in underserved public health markets.
Altarum is a nonprofit health care and public health consulting firm founded in 1946 (rebranded as Altarum in 2001) serving federal, state, and local government entities. The organization operates four divisions—Population Health, Public Health Systems, Palladian Partners, and Altarum Medicare Medicaid Services for States—focused on program planning, implementation, quality improvement, and applied research for vulnerable populations. Core capabilities span analytics, health IT modernization, data interoperability, training, and program delivery. Clients are primarily public-sector agencies managing Medicaid, Medicare, behavioral health, maternal health, and public health infrastructure.
dbt, Power BI, Tableau, Looker for analytics; AWS, Azure Government, GCP for cloud; GitHub Actions, GitLab, Azure DevOps for CI/CD; Terraform, CloudFormation, Bicep for infrastructure; MLflow (newly adopted) for ML operations.
Modern lakehouse architecture, MLOps lifecycle, dbt transformation pipelines across public health and Medicaid domains, Power BI executive dashboards, ML explainability (SHAP/LIME), generative AI ingestion pipelines, and NLP-driven research support.
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