Assistant Professor of Data Analytics
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Before you apply
Salary$79k
LocationUR Main Campus
Work modehybrid
Typefull-time
SeniorityMid
Company size1,001–5,000 people
PostedJul 15, 2026 · 3mo ago
Verified live7h ago
At a glanceSummarised by Seekless from the posting.
Ph.D. or DBA in data analytics, data science, information systems, statistics, mathematics, operations research, or a closely related field
Commitment to the academic and professional success of adult learners
Expertise in data analytics
Ability to teach five courses per year across both undergraduate and graduate data analytics curricula
Ability to teach in data literacy, visualization, statistical analysis, and related areas
Ability to develop and update curriculum in response to industry trends and student needs
Maintain active scholarly engagement in data analytics
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
Experience teaching adult and continuing learners
Ability to teach across data analytics and information systems, particularly in a higher education setting
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
Benefits
Health insurance
Professional development
About the role
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.
Responsibilities
The successful candidate will teach five courses per year across both undergraduate and graduate data analytics curricula, including courses in data literacy, visualization, statistical analysis, and related areas. Additional responsibilities include developing and updating curriculum in response to industry trends and student needs, maintaining active scholarly engagement in data analytics that informs teaching and supports curriculum development, collaborating with adjunct faculty to ensure instructional quality and consistency, participating in program assessment and accreditation activities, supporting student recruitment through occasional program representation at events, serving on School and University committees, and carrying out other functions as may be appropriate to the position. SPCS faculty enjoy hybrid teaching formats and generous professional development funding.
Nice to have
Ability to teach across data analytics and information systems, particularly in a higher education setting and with experience teaching adult and continuing learners, is strongly preferred. Additional areas of interest or experience that are preferred: industry experience in data analytics or related field; online or hybrid teaching and course development; curriculum development and program assessment; and ability to contribute to other SPCS disciplines as program needs evolve.
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.
Hiring process
Applicants should apply online at https://jobs.richmond.edu and 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. Candidates for this position may be asked, at a later date, to provide the names and contact information for three references who will be asked to submit letters of recommendation. Review of applications will commence August 10, 2026, and continue until the position is filled. Please contact Lionel Mew, Assistant Professor of Information Systems and Search Chair, at [email protected] with any questions. For more information on SPCS and its programs, please visit https://spcs.richmond.edu.
The starting salary for this position is budgeted at $79,000. Compensation is determined by the candidate’s individual qualifications, experience, education, and skills.
About the company
The University of Richmond is a private university located just a short drive from downtown Richmond, Virginia. Through its five schools and wide array of campus programming, the University combines the best qualities of a small liberal arts college and a large university. With approximately 4,000 students, an 8:1 student-faculty ratio, and more than 90% of traditional undergraduate students living on campus, the University is remarkably student-centered.
The mission of the University of Richmond is to educate in an academically challenging, intellectually vibrant, and collaborative community dedicated to the holistic development of students and the production of scholarly and creative work. A Richmond education prepares students for lives of purpose, thoughtful inquiry, and responsible leadership in a diverse world. The University of Richmond’s strategic priorities are academic excellence, belonging and community, access and affordability, well-being, and experiential learning and community engagement. The University seeks to model a relentlessly welcoming and inclusive campus community that values the expression of difference in ways that promote excellence in teaching, learning, personal development, and institutional success. Our academic community strongly encourages applications that are in keeping with this commitment.