Assistant Professor of Business Analytics & Management

Universities of Wisconsin•Kenosha, WI

About The Position

The University of Wisconsin-Parkside Department of Business seeks an exceptional candidate for a position as an Assistant Professor of Business Analytics & Management. This role involves teaching Business Analytics and other business/management disciplines, developing high-quality courses, applying AI technologies, supporting students, serving on committees, and undertaking scholarly work. The department is AACSB accredited and values teaching, research, and professional engagement connected to the Southeast Wisconsin region and global business. The Universities of Wisconsin system aims to be a talent pipeline, contributing to the state's economy and culture through research and innovation.

Requirements

PhD/DBA degree in Business Analytics or a related discipline.
Proficiency in business statistics.
Proven track record of teaching excellence at the university level.
Experience with industry collaboration and applied research.
Active scholarship with research publications related to Business Analytics or Management within the last five years (recent PhD/DBA graduates may include their latest work-in-progress so that we can assess their publication potential.)
Skills in applying AI tools and techniques in Business Analytics and Management domains.
All but Dissertation (ABD) candidates may apply. Doctorate must be completed by start date.

Nice To Haves

The department particularly values teaching, research, and professional engagement that connects the faculty and students to the vibrant Southeast Wisconsin region and global business.
The department also encourages high-impact practices such as supervising student organizations and participating in student competitions as well as undergraduate and graduate student research.

Responsibilities

Teach Business Analytics in addition to teaching across a range of key business and management disciplines such as operations and project management.
Teach at the undergraduate and graduate levels in in-person, synchronous and asynchronous online modes.
Leverage innovative pedagogy to develop high-quality classes, syllabi, and coursework in one or more of the following, including: business analytics, artificial intelligence, and operations and project management.
Apply relevant AI technologies for developing and teaching courses that address evolving demands in the business and management domain.
Support students outside of class; provide feedback to students; provide student grades.
Mentor and advise students, supporting their academic and professional development.
Serve on department committees; provide assistance with department events; potentially contribute to community projects.
Undertake scholarly work; publish in conferences and journals; perform consulting-type activities.