Government needs talented data scientists, programmers, and analysts to successfully and ethically implement and employ modern data applications. The talent pipeline for federal data scientists is fragmented and a perennial issue for federal data managers seeking to hire and keep skilled employees. Seemingly small, but significant steps like creating a job series to reflect data professionals or providing professional development to larger challenges like retaining talent, stunt efforts and, ultimately, solutions. During this Data Coalition virtual event, co-hosted with DLT Solutions and in partnership with Pluralsight, participants heard from federal leaders, academics, and specialists who worked to creatively develop a replicable talent pipeline.


  • Sharon Boivin, Deputy Chief Data Officer for Analytics, Office of the Chief Data Officer, Department of Education
  • Philip Bourne, Stephenson Dean, School of Data Science, University of Virginia
  • Douglas Harrison, Vice President and Dean, School of Cybersecurity and Information Technology, University of Maryland Global Campus
  • Jordan Morrow, Head of Data, Design and Management Skills, Pluralsight
  • Sherry Bennett, Ph.D., Chief Data Scientist, DLT Solutions, a Tech Data company