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  5. ›RFP 825 - Workday Cloud Connect for Learning Content Partner

University of Mississippi·Mississippi

RFP 825 - Workday Cloud Connect for Learning Content Partner

Closes 7/9/2026$50k – $500kRequest for Proposal
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Description

The University of Mississippi is seeking a Workday Cloud Connect for Learning Content Partner. The procurement category is Information Technology (IT). Proposals must be sealed and plainly marked on the outside of all envelopes. Specifications are on file in the office of the Director of Procurement Services and can be viewed/downloaded at https://secure24.olemiss.edu/prelecbids/CurrentBids. The project involves implementing a Workday Cloud Connect for Learning Content Partner solution. Key responsibilities may include configuring and testing the system, providing training and support, and ensuring data integration and security. • The proposal submission deadline is Thursday, July 9, 2026, at 1:00 PM. • The procurement category is Information Technology (IT). • The project requires a Workday Cloud Connect for Learning Content Partner solution. • Proposals must be sealed and plainly marked on the outside of all envelopes. • Specifications are on file in the office of the Director of Procurement Services and can be viewed/downloaded at https://secure24.olemiss.edu/prelecbids/CurrentBids.

Attached files

Contact

Jeff Wells(Procurement Services contact)

[email protected]

(662) 915-7448

Key dates

Opened
6/26/2026
Closes
7/9/2026

Last updated

Details

Type
Request for Proposal
Industry
Information Technology and Software Development
NAICS
518210
Solicitation №
75-20260602142447 UM

Budget estimate

$50,000 – $500,000

The budget for this project is difficult to estimate, as the document does not provide a specific budget or award amount. However, based on the scope of the project, which involves implementing a Workday Cloud Connect for Learning Content Partner solution, the budget could range from $50,000 to $500,000. This estimate is rough and may be influenced by factors such as the complexity of the implementation, the number of users, and the level of customization required.

AI estimate from the solicitation

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