With five generations present in almost every modern work environment, business and human resource leaders need tools to help their organizations retain skilled workers, lowering and possibly eliminating their intent to leave. The information technology (IT) sector provides an ideal setting for research on multigenerational workers, where older workers, in particular, are an integral part of keeping legacy IT systems working and our nation safe. Current literature provides strong cues that reverse mentoring is an effective tool for improving employee retention and job satisfaction in Baby Boomers. This quantitative, non-experimental survey research design aims to confirm that reverse mentoring can increase job satisfaction in older IT workers experiencing job plateaus. This research will extend the body of knowledge by providing one of the first quantitative studies on reverse mentoring of older workers as a class, specifically Baby Boomers and Traditionalists. The target population for this research is older workers from across the U.S. Census Bureau's 12 IT job classifications that have been mentored or managed by younger workers --Generations X, Y, or Z. Data was collected using Agarwal and Sajid's (2017) 48-question survey instrument. Multiple linear regression (MLR) analysis was used to test the significant positive relationship between the independent variables affective commitment (AC), continuous commitment (CC), and normative commitment (NC) and the dependent variable employee retention (RET), as measured by job satisfaction and intent to leave. Hypothesis testing using MLR found a significant and strong relationship between the independent variables AC, CC, and NC and the dependent variable RET, thus, the null hypothesis was rejected, and the alternate hypothesis was accepted. Further, Agarwal and Sajid's (2017) survey instrument was determined to be reliable for future research since it measures what it was designed to measure (organizational commitment, job satisfaction, and intent to leave). [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com.bibliotheek.ehb.be/en-US/products/dissertations/individuals.shtml.]