Assistant Director of Admissions

UVA HealthCharlottesville, VirginiaHybridFull-timeStaff, 8–12 yearsListed 18 hours ago

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About this role

The University of Virginia School of Data Science—the first of its kind in the nation—advances discovery, innovation, and societal impact through collaborative, open, and responsible data science research and education. Founded in 2019, the School brings together expertise across business, computation, engineering, humanities, law, mathematics, social sciences, statistics, and law to address complex, real ‑ world challenges. Its academic offerings include a B.S. in Data Science, an undergraduate minor, residential and online M.S. in Data Science programs, and a Ph.D. in Data Science, all designed to prepare students for a rapidly evolving data ‑ driven world.

Position Summary

The University of Virginia’s School of Data Science (SDS) seeks a passionate, motivated, and team-oriented professional to join its admission team as an Assistant Director of Admissions and Enrollment Management.  
 
The Assistant Director will advance the School’s undergraduate and graduate enrollment goals, focusing on recruitment, conversion, yield, and enrollment planning. In collaboration with the Director of Admissions and Recruiting and School leadership, this role analyzes enrollment data and trends, develops reports and forecasting tools, and recommends strategies to improve enrollment outcomes.

The position manages key admissions operations, including application review processes, decision releases, communications, applicant portal content, and fellowship administration, while continually improving the applicant and reviewer experience. The Assistant Director also advises prospective and admitted students, supports recruitment and yield activities, and helps ensure a seamless transition from admission to enrollment and academic operations.

Responsibilities

- Collect, evaluate, and interpret recruitment and enrollment data to provide strategic insights, process and operational improvements based on enrollment management trends.

- Design and develop enrollment reports and queries within Slate to support recruitment, funnel management and enrollment forecasting.

- Coordinate decision release processes and transition from Admissions to the Academic Operations Team.

- Manage the awarding, tracking, and reporting of graduate fellowships

- Represent the School at virtual and in-person recruitment and yield events, deliver presentations, and advise prospective and admitted students throughout the admissions and enrollment process.

- Supervise Graduate Student Admissions Ambassadors and Interns

Minimum Qualifications

- Education: Bachelor's degree.

- Experience: At least three years of experience in admissions or related field or a total of eight years of experience in lieu of degree.

Preferred Qualifications

- Proficiency with admission systems or customer success platforms (e.g., Slate, Salesforce), university student information systems (e.g., PeopleSoft, SIS), and/or survey tools (e.g., Qualtrics)

- Proficiency in Excel and MS Office 365 suit

- Demonstrated experience with managing multiple ongoing projects and meeting competing deadlines with accuracy

- Demonstrated experience with developing reports, analyzing and interpreting data to identify trends.

- The successful candidate will demonstrate the ability to take initiative, execute high-quality work using sound judgment and discretion. They will have a proven track record of exceptional attention to detail and the ability to follow through on commitments. The candidate will thrive in fast-paced, team-oriented, and innovative environments. They will have a strong aptitude to learn and communicate Data Science curriculum and educational trends.

Physical Demands

This is primarily a sedentary job involving extensive use of desktop computers. The job requires occasional travel for recruiting activities and or/to attend meetings and programs.

Salary Range

- Anticipated Hiring Range: $58,000 – $65,000, commensurate with education and experience.

Position Type & Work Location

- This is an exempt-level, benefited position. Learn more about UVA benefits (https://hr.virginia.edu/benefits) .

- This is a restricted position, which is dependent on funding and is contingent upon funding availability.

- This is a full-time in-person position at the School of Data Science at the University of Virginia in Charlottesville, VA. The position may require some weekend and evening work and occasional travel. This position is eligible for a hybrid work schedule, after required training and with the approval of supervisor.

About UVA and the Community

To learn more about UVA and in the Charlottesville area, visit UVA Life and Embark CVA .

Application Timeline

Application review will begin after  October 9, 2026. The position will remain open until filled.

Additional Requirements

- Background checks will be conducted on all new hires prior to employment.

- This position will not consider candidates who require immigration sponsorship now or in the future.

How to Apply

Please apply online , by searching for requisition number R0087710 .

Internal applicants may search and apply for jobs on the UVA Internal Careers website .

Complete an application with the following documents:

- Resume

- Cover Letter

Upload all materials into the resume submission field. You can submit multiple documents into this one field or combine them into one PDF. Applications without all required documents will not receive full consideration.

Reference Check Process

Reference checks will be completed by UVA’s third-party partner, SkillSurvey, during the final phase of the interview. Five references will be requested, with at least three responses required.

Contact

- For questions about the application process, please contact Jon Freeman, [email protected].

The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA’s commitment to non-discrimination and equal opportunity employment .