Assistant Professor of Data Analytics

University of Richmond

6d•Hybrid

About The Position

The Department of Interdisciplinary and Professional Studies in the School of Professional and Continuing Studies at the University of Richmond invites applications for a full-time, non-tenure-track faculty position at the rank of Assistant Professor of Data Analytics to begin in the 2026-2027 academic year. This is a twelve-month appointment with benefits. The initial appointment will be made for a probationary period of up to three years, with opportunity for recurring, continuing appointments of up to five years per appointment. The School of Professional and Continuing Studies (SPCS) serves working adult students through flexible undergraduate and graduate programs that combine academic rigor with real-world relevance. We seek a teacher-scholar with expertise in data analytics who is committed to the academic and professional success of adult learners and who will contribute to the continued development of our Data Analytics program. Data Analytics curriculum is embedded in academic programs housed in the Department of Interdisciplinary & Professional Studies, which includes academic programming in data analytics, information systems and cybersecurity, human resource management, liberal arts, nonprofit studies, and organizational studies and effectiveness.

Requirements

A Ph.D. or DBA in data analytics, data science, information systems, statistics, mathematics, operations research, or a closely related field is required by the time of appointment.
Submit a curriculum vitae, cover letter, and teaching statement (maximum two pages).
The teaching statement should detail the candidate’s teaching philosophy and commitment to educating a diverse student body through inclusive pedagogies.

Nice To Haves

Ability to teach across data analytics and information systems, particularly in a higher education setting and with experience teaching adult and continuing learners.
Industry experience in data analytics or related field.
Online or hybrid teaching and course development.
Curriculum development and program assessment.
Ability to contribute to other SPCS disciplines as program needs evolve.

Responsibilities

Teach five courses per year across both undergraduate and graduate data analytics curricula, including courses in data literacy, visualization, statistical analysis, and related areas.
Develop and update curriculum in response to industry trends and student needs.
Maintain active scholarly engagement in data analytics that informs teaching and supports curriculum development.
Collaborate with adjunct faculty to ensure instructional quality and consistency.
Participate in program assessment and accreditation activities.
Support student recruitment through occasional program representation at events.
Serve on School and University committees.
Carry out other functions as may be appropriate to the position.