SLED Opportunity · COLORADO · CITY OF GRAND JUNCTION

    Classification and Compensation Study

    Issued by City of Grand Junction
    cityRFPCity of Grand JunctionSol. 8545675507
    Closed
    STATUS
    Closed
    due Apr 13, 2026
    PUBLISHED
    Mar 16, 2026
    Posting date
    JURISDICTION
    City of
    city
    NAICS CODE
    541612
    AI-classified industry

    AI Summary

    The City of Grand Junction, CO seeks proposals for a comprehensive Classification and Compensation Study covering 900 employees in 250+ job classifications, including Police and Fire. The study will evaluate current structures and pay plans to improve alignment, competitiveness, and sustainability. Proposals due April 13, 2026.

    Opportunity details

    Solicitation No.
    8545675507
    Type / RFx
    RFP
    Status
    Active
    Level
    city
    Published Date
    March 16, 2026
    Due Date
    April 13, 2026
    NAICS Code
    541612AI guide
    Agency
    City of Grand Junction

    Description

    The City of Grand Junction, Colorado, is soliciting competitive proposals from qualified consultants to conduct a comprehensive Classification and Compensation Study for approximately 900 employees across more than 250 job classifications, including Police and Fire personnel. The selected Consultant shall evaluate the City’s current classification structure, job documentation, market competitiveness, compensation philosophy, and pay administration practices, including the City’s existing ten-step pay plan with three percent (3%) progression steps. The Consultant shall apply professional expertise and industry best practices to analyze the City’s classification architecture and compensation framework and provide recommendations that improve internal alignment, external competitiveness, transparency, and long-term sustainability. The resulting work shall include data-driven analysis, supporting documentation, and implementation considerations that enable the City to effectively administer and maintain its classification and compensation program over time. Section 4.0 of this solicitation describes the detailed project objectives, required services, and deliverables associated with this study (Scope of Services). All services shall be performed in accordance with the terms and conditions set forth in this solicitation and incorporated into any resulting contract. **Solicitation Type**: RFP - Request for Proposal (Formal) **Source ID**: PU.AG.USA.1123.C14779951 **Piggyback Contract**: No **Question Acceptance Deadline**: 03/26/2026 07:00 PM EDT **Questions are submitted online**: No **Bid Submission Type**: Electronic Bid Submission **Additional Bidding Instructions**: ​​​​​​​Proposal Format and Submission Requirements Proposals shall be submitted as one (1) complete, searchable PDF document. The proposal shall not exceed thirty (30) pages. For purposes of this limitation: One (1) page equals one (1) single-sided page. If double-sided pages are submitted, each side shall count as one (1) page. Pages shall be no larger than standard letter size (8.5” × 11”). The page limit includes cover letter, executive summaries, graphics, charts, tables, and appendices within the proposal narrative. The following documents are excluded from the page limit: The completed Solicitation Response Form (Section 7.0). Pages exceeding the thirty (30) page limit will not be reviewed or considered in the evaluation **Owner Organization**: Human Resources **Solicitation Number**: RFP-5883-26-KF **Reference Number**: 0000416903 **Pricing**: In attached document **Bid Documents List**: | Item Name | Description | Mandatory | Limited to 1 file | |---|---|---|---| | Bid Documents | Documents defining the proposal | Yes | No |

    Key dates

    1. March 16, 2026Published
    2. April 13, 2026Responses Due

    AI classification tags

    Frequently asked questions

    SLED stands for State, Local, and Education. These are solicitations issued by state governments, counties, cities, school districts, utilities, and higher education institutions — as opposed to federal agencies.

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