Clinical Assistant/Associate Professor of Business Analytics

Location:  Alan B. Miller Hall; Williamsburg, Virginia
URL:  https://jobs.wm.edu/postings/44612
Contact:  Mason HR - [[w|masonhr]]

Full Description

The Raymond A. Mason School of Business at William and Mary is seeking to fill a Business Analytics teaching position in the Operations and Information Systems (OISM) area. This is a full-time, continuing, non-tenure eligible (NTE) position. The position requires a teaching load of 21 credits with a possibility of a 3 credit reduction to support research, begins in August 2022, and is contingent on funding. 

The primary responsibilities of this position are teaching and service. This position is not research focused but we welcome clinical colleagues who are conducting high quality research, and we are prepared to support the continuation of productive research programs. 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.

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 graduate business school has been recognized as a “Top-50” school by Business Week, the Financial Times, and the Wall Street Journal. The undergraduate program is currently ranked #15 in the Poets & Quants Undergraduate Business Program Ranking. The Mason School faculty has also been highly ranked by both Bloomberg Business Week and the Princeton Review where Mason faculty rank # 3 nationally. The OISM Area includes 20 full-time faculty, and is the home to residential and online MSBA programs. 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.

Required Qualifications

• An earned doctoral 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. Candidates must be willing and able to teach courses in multiple areas (e.g., operations management, information systems, information technology, computer science, statistics, and business analytics). Prior teaching experience is required and candidates with a proven record of excellent teaching will be given preference in the selection process. Commitment to inclusive teaching is required.

Preferred Qualifications

• Industry experience in operations management, information systems, and/or business analytics, while not required, is desirable. Candidates who can teach courses in big data, machine learning, and artificial intelligence are encouraged to apply. Preference will be given to those willing and able to teach residentially and in online modalities.

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