Nonprofit public health programs, analytics and health IT for government
Altarum is a Novi-based nonprofit delivering public health programs, research and health IT for government clients. Its stack spans AWS GovCloud, Azure Government and GCP with Terraform, CloudFormation and Bicep, which points to multi-cloud infrastructure-as-code built for federal compliance. MLflow, SHAP, Lime and RAG sit alongside dbt and Power BI, Tableau and Looker, suggesting explainable-AI work layered on analytics. Current hiring leans toward healthcare and communications roles.
Notable leadership hires: Lead
Altarum is a nonprofit founded in 2001 and headquartered in Novi, Michigan, with 201–500 employees. It works mainly for federal, state and local government agencies, planning and running public health and health care service programs aimed at underserved populations. Its services cover technical assistance, training, quality improvement, applied research and analytics, health communications, data modernization and interoperability, and technology implementation. The organization runs four operating divisions: Population Health, Public Health Systems, Palladian Partners, and Altarum Medicare Medicaid Services for States.
Altarum uses dbt, Power BI, Tableau and Looker for analytics, MLflow, SHAP and Lime for ML, and AWS GovCloud, Azure Government and GCP managed with Terraform, CloudFormation and Bicep. Business systems include Salesforce, Deltek Costpoint and UKG.
Altarum is headquartered in Novi, Michigan, United States. It is a nonprofit founded in 2001 with 201–500 employees, and it currently hires in the United States.
Job posts point to public health education campaigns, a direct care careers platform, learning management system integrations, state-specific configurations, statewide training toolkits, and proposal pricing and cost volume development.
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Altarum's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.