Employment Data Coordinator

Located in North Carolina's third largest city, UNC Greensboro is among the most diverse, learner-centered public research universities in the state, with 18,000 students in eight colleges and schools pursuing more than 150 areas of undergraduate and over 200 areas of graduate study. UNCG continues to be recognized nationally for academic excellence, access, and affordability. UNCG is ranked No. 1 most affordable institution in North Carolina for net cost by the N.Y. Times and No. 1 in North Carolina for social mobility by The Wall Street Journal - helping first-generation and lower-income students find paths to prosperity. Designated an Innovation and Economic Prosperity University by the Association of Public and Land-grant Universities, UNCG is a community-engaged research institution with a portfolio of more than $67M in research and creative activity. The University's 2,600 staff help create an annual economic impact for the Piedmont Triad region in excess of $1B.

Career & Professional Development ( CPD) empowers Spartans to become Career-Ready from exploration to life beyond graduation. CPD accomplishes this mission by:

This Employment Data Coordinator position will report to the Director for Career and Professional Development, supporting Career & Professional Development's mission to build a career ecosystem across campus. The Employment Data Coordinator leads the annual First Destination Survey process, working closely with Schools, Colleges, and CPD's Career Development and Employer Relations teams to strengthen students' understanding of career outcomes reporting and connect that data to CPD's broader career readiness work. The coordinator cultivates relationships with staff, faculty, and administrators to drive survey completion, and shares survey data with ITS Data Management to support institutional reporting. Beyond survey season, the coordinator contributes to CPD's programming and student engagement efforts, serving as an active partner across the office's functional areas rather than a standalone data function.