Visiting Clinical Assistant/Associate/Full Professor of Business Analytics
Alan B. Miller Hall; Williamsburg, Virginia
Contact: Mason HR - [[w|masonhr]]
The Raymond A. Mason School of Business at William & Mary is seeking to fill a Business Analytics teaching position in the Operations and Information Systems (OISM) area. This full-time specified-term non-tenure eligible temporary visiting position begins August 10, 2023 (for a Fall or full-year appointment) and January 10, 2024 (for a Spring appointment), and is contingent on funding. The position requires a teaching load of at least 6 credits per semester.
The primary responsibilities of this position are teaching and service. The OISM area offers a Business Analytics major in the Undergraduate program, is active in multiple MBA programs, and offers both residential and online Master’s programs in Business Analytics. The OISM Area includes 19 full-time faculty.
William & Mary is a premier liberal arts university, chartered in 1693, and has long been considered one of the top academic institutions in the country and a “Public Ivy.” The Mason School has been recognized as a top program by Bloomberg BusinessWeek (#1 in MBA Learning), Princeton Review (#5 in MBA Faculty) and Poets & Quants (#15 Undergraduate and #4 for MBA Career Outcomes). Regularly named a Global Top 100 program by the Financial Times, the MBA program is ranked in the Top 50 by U.S. News & World Report, Bloomberg BusinessWeek, Fortune and Forbes.
The University is situated in historic Williamsburg, Virginia and is within an hour drive of Richmond, Norfolk, and Virginia Beach. Washington DC is within a three-hour drive. The Hampton Roads area has consistently ranked among the best places to live in the country on the dimensions of quality of life, affordability, and climate.
An earned master’s degree (at time of appointment) in information systems, information technology, operations management, industrial engineering, operations research, business analytics, computer science or related fields is required. Commitment to inclusive teaching is required.
An earned Ph.D. (at time of appointment) in information systems, information technology, operations management, industrial engineering, operations research, business analytics, computer science or related fields is preferred. Candidates who can teach courses in multiple areas (e.g., operations management, information systems, information technology, computer science, statistics, and business analytics) are especially encouraged to apply. Prior teaching experience is required and candidates with a proven record of excellent teaching will be given preference in the selection process. Industry experience in operations management and/or business analytics, while not required, is desirable. Preference will be given to those willing and able to teach residentially and in online modalities.