Salary Market Data Service
Overview
Settle Signals
Market intelligence for public sector sales teams
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SUMMARY
KEY REQUIREMENTS
CONTRACT DURATION
TIMELINE
FSU Issues ITN: October 2nd, 2026
Deadline to submit questions: October 8th, 2026
Anticipated date of posting answers: October 15th, 2026
Deadline to submit Proposal: October 28th, 2026
Anticipated date FSU posts intent to award: TBD
QUESTION DEADLINE
CONTACTS
Primary procurement contact — name, title, email, and phone
Additional decision-makers and their departments
Issuing Agency
Florida State University
DESCRIPTION
The government authority in Florida seeks a salary market data service to support staff and peer data analysis, salary survey management, benchmarking, and compensation planning. The solution should securely import data from the organization’s Human Resources Information System (HRIS), provide suggested job matches, and dynamically update positionally matched market data.
The service should consolidate third-party survey data and streamline participation in salary surveys using a broadband classification structure. It should provide competitive analysis of market and internal pay practices, including customized reports by college or division with incumbent-level detail, as well as tools to build, edit, and maintain salary structures and place university jobs and incumbents within those structures.
The organization requires robust higher education-specific benchmarks, including athletics and healthcare, automated weekly and biweekly HRIS data uploads, and incumbent-level analytics based on job matches. Questions must be submitted by October 8, 2026.
Similar RFPs
Frequently asked questions
- When is the submission deadline?
- Submissions are due October 28, 2026. Questions must be submitted by October 8, 2026.
- Who issued this RFP?
- It was issued by Florida State University. The work is located in Tallahassee, Florida, United States.
- Who is a good fit for this opportunity?
- Compensation technology provider with salary benchmarking and market pricing expertise
- Experience integrating securely with HRIS platforms and automating recurring data uploads
- Demonstrated higher education compensation and salary survey experience
- Strong capabilities in salary structure modeling, job matching, and incumbent-level analytics
- Established data security and confidentiality controls for sensitive personnel information
Analysis generated by Settle AI from the source RFP.
RFP Hunter shows what is open. Settle shows what is forming.
Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.