Data Analytics Platform

The agency is seeking a scalable, cloud-based Data Analytics Platform to replace legacy systems with modular, secure, and automated solutions. This new platform must enable faster, data-driven decisions to improve care delivery, policy evaluation, population health, transparency, and operational efficiency. The system must also enhance reporting accuracy, reduce operational delays, and support compliance with federal and legislative mandates. The scope of work covers cloud hosting and infrastructure services, an enterprise data warehouse, and a governed data sharing platform for business and technical users. The platform must include a business intelligence and visualization layer supporting artificial intelligence-assisted analytics and self-service dashboards. The agency requires primary programming languages such as Python, PySpark, and SQL for data engineering, transformation, and analytics. The selected vendor must initially integrate existing state-procured SAS Enterprise Guide Desktop licenses or vendor-procured SAS licenses to connect with the data warehouse for transition continuity. The agency plans a phased retirement of these SAS licenses as workloads migrate to the new programming languages. The project also requires version control, continuous integration and continuous delivery automation, DevOps pipeline orchestration, and Infrastructure as Code implementation. Eligible bidders must be onshore United States organizations. The agency requires all performance of the work to occur offsite. Bidders must submit their proposals digitally via email or online, and the agency is currently looking for proposals to establish the budget. The agency will award a contract with a performance period of five years. A pre-bid meeting will take place on May 14, 2026. Bidders must submit all questions regarding this opportunity no later than May 21, 2026.