This Sources Sought opportunity from Department Of Homeland Security was posted on June 3, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.
Enterprise Data and Analytics Modernization Initiative Data Quality
Contract Overview
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AI Contract Overview
The Department of Homeland Security's Federal Emergency Management Agency is seeking contractor expertise to assess and improve its data management and architecture processes. This initiative aims to address existing gaps in data quality and governance by applying a business and enterprise architecture approach consistent with the Federal Enterprise Architecture Framework. The focus is on aligning business and IT objectives to enhance FEMA’s overall data strategy under the Enterprise Data and Analytics Modernization Initiative (EDAMI). EDAMI encompasses more than 100 systems agency-wide and utilizes Azure-based data and machine learning services, including DataBricks, to support its data infrastructure. Though the EDAMI program has achieved initial operating capability with its FEMADex system, challenges remain due to data quality issues in ETL pipelines. These issues stem from insufficient data stewardship, including inadequate preparation and documentation of data prior to ingestion, which limits users' ability to fully leverage datasets within the analytics platform. The contract, identified by solicitation number 70FA3126I00000003, is a sources-sought notice with a response deadline in mid-June 2026. The work will be performed in Washington, DC, and interested parties are encouraged to contact designated FEMA points of contact for further details.
General Info
Agency
NAICS
Place of Performance
Washington, DC, USASet-Aside
Timeline
Submission Closed
Organization & Contact Information
Full Description
The Department of Homeland Security (DHS), Federal Emergency Management Agency (FEMA), Enterprise Architecture, requires contractor expertise to evaluate the agency’s data management processes and data architecture to address gaps in data quality and governance, by using a business and enterprise architecture approach that aligns business and IT goals using the Federal Enterprise Architecture Framework (FEAF). This effort will support FEMA’s data strategy through the Enterprise Data and Analytics Modernization Initiative (EDAMI) program office, which covers over 100 systems agency-wide, and is being built with various Azure data and ML services such as DataBricks. The EDAMI program has achieved initial operating capability in its FEMADex system but is experiencing data quality issues in its ETL pipelines as many data stewards are not properly preparing and documenting data for ingestion. As a result, data users of the FEMADex analytics platform are unable to make full use of the existing datasets loaded into the data fabric.
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