The intent of this Request for Proposal (RFP) is to solicit proposals to analyze, review and present recommended adjustments to the agency’s current compensation policies and practices, classification, compensation, and benefit programs. In order to receive consideration, a proposal must be submitted and meet the requirement for the Agency as described herein: 1. Internal Pay Equity Analysis: a. Review current salary data to identify internal pay disparities. b. Review job descriptions for accuracy of position responsibilities and appropriate grade and compensation alignment as well ensure ADA and FLSA (exempt or nonexempt) provisions are met. c. Assess job classifications and corresponding pay to ensure internal equity across all employee groups. 2. External Market Comparison: a. Benchmark Irmo Chapin Recreation employee salaries against other comparable parks and recreation agencies, special purpose districts, municipalities, similar-sized cities, local governments, school districts and similar industries in the region. b. Provide market comparisons for each job classification to evaluate competitiveness in the labor market. 3. Benefits and Incentive Review a. Assess current benefit offerings (e.g., health insurance, retirement plans, paid time off, etc.). b. Review incentive programs (e.g., performance merit increases, cost of living, other employee incentive programs, etc.). c. Provide recommendations for improving or enhancing benefits and incentives to be competitive in the market. 4. Salary Structure and Job Classification Systems: a. Review the agency’s salary structure, including salary grades and ranges. b. Review agency’s job classification structure and make recommendations of any revisions, if necessary, to ensure the agency aligns with the compensation strategy and employee roles. 5. Comprehensive Compensation Report: a. Prepare a detailed report on internal pay equity and external market comparisons. b. Include analysis and recommendation of each job classification, grading, and proposed salary ranges based on market data...
