MPTA (Manpower Personnel Testing Analysis) Support Recompete
Past Recompete Updated
- Agency
-
Federal Acquisition Service
General Services Administration
- Solicitation expected
- Estimated value
- $250,000,000 to $499,000,000
- Set-aside
- No set-aside
Forecast facts
- Anticipated award
- Through
- NAICS code
- Not on record
- Place of performance
- Alexandria, VA
- Forecast number
- 47233
- Points of contact
Forecast details come from the GSA Acquisition Gateway. Agencies' dates and values are estimates.
About this forecast
The GSA Federal Acquisition Service is recompeting the MPTA (Manpower Personnel Testing Analysis) Support contract to provide direct analytic support to the Military Services and the Office of the Secretary of Defense (OSD). The contractor will conduct comprehensive workforce analysis to inform decisions on recruiting, hiring, retention, succession planning, training, and talent-based assignment matching throughout the Department of Defense. The analysis will support a wide spectrum of studies, policy objectives, research projects, and enterprise technology solution development. The solicitation is expected to be released on September 1, 2026, with an estimated award date of January 17, 2027.
The estimated award value ranges from $250 million to $499 million, with a period of performance extending from January 17, 2027, through January 16, 2032. This delivery order contract will be performed in Alexandria, Virginia. For additional information regarding this opportunity, interested parties should contact Marka Johnson, Director at the General Services Administration, at marka.johnson@gsa.gov or (816) 214-1458.
Forecast text
DPAC is designated to serve in direct analytic support to the Military Services and the Office of the Secretary of Defense (OSD) to conduct comprehensive analysis on how policy or environmental changes will affect the performance or composition of the workforce. Through analysis DPAC is prepared to inform on questions pertaining to recruiting hiring and retention succession planning training and increased talent-based assignment matching throughout the Department. Data will be used to support a wide spectrum of studies analyses policy objectives research projects reporting requirements and the development of enterprise technology solutions for the Department.
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