Alex Bauer specializes in providing technical assistance and program improvement services to support Temporary Assistance for Needy Families (TANF), workforce, and employment programs in making data-driven decisions and changes.
Bauer is a technical assistance lead and coach for several state and local TANF and workforce programs, partnering with them to help improve outcomes for families and program staff. Using the Learn, Innovate, Improve (LI2) framework, he helps programs enhance their service delivery and build the capacity of their staff, leaders, and partners to use evidence to inform decisions. This work has included the re-design of enrollment paperwork, orientations, data entry processes, contracting processes, and job roles and responsibilities. Bauer also works with TANF programs in Pennsylvania, Colorado, California, Maryland, and Ohio to implement new approaches for case management, supervision, and leadership. He supported and led trainings on Goal4 It! and other evidence-informed interventions to support staff development, program improvement, and culture change. Supporting this work and rigorous evaluations for the Administration for Children and Families, Bauer has experience building logic models and in designing, developing, executing, and analyzing the results of interviews, focus groups, and surveys.
Before joining Mathematica in 2018, Bauer completed his undergraduate studies at the University of Connecticut, where he was also a research assistant and completed several internships in the environmental policy field. He is currently a candidate for a master’s degree in organizational leadership and learning at The George Washington University (class of 2022). This degree focuses on organizational design, change management, assessing the impacts of change, and leadership development.