Allon Kalisher is a hands-on expert in child welfare programs, policies, and data. He has more than 20 years of experience working in a state child welfare system, from the frontline to senior leadership roles in operations and strategic, analytic, and quality improvement. Kalisher, who joined Mathematica in 2019, has supported several projects and emerging partnerships to advance work in child welfare focused on data quality, predictive analytics, data linking, data analysis training, FFPSA implementation, and program evaluation and planning.
Kalisher came to Mathematica from the Connecticut Department of Children and Families (DCF), where he served as the Child and Family Services Review Program Improvement Plan manager, and from New Zealand’s Centre for Social Data Analytics, where he consulted on the implementation of the Douglas County Decision Aide (a predictive risk model designed to support call-screening decisions) developed for Douglas County, Colorado. Before that, he was a regional administrator, overseeing field operations and contract agencies for the Connecticut DCF’s Region 3. He started his career in child welfare as a frontline social worker and later led projects to build child welfare workforce capacity to use data, to improve the quality of federal data submissions, and numerous analyses to support performance evaluation and strategic planning.