Professor of Practice - Management Science - Information Systems

Professor of Practice - Management Science - Information Systems . Location: New Orleans, LA, United States . Job schedule: Full time . The Freeman School of Business at Tulane University invites applications for a full-time, non-tenure system faculty position in Information Systems in the Management Science area.

The appointment – at the rank of Professor or Practice is for three years, beginning July 1, 2027. Salary, teaching load, and benefits are competitive with other major research institutions. Hiring for this position is subject to final budgetary approval by the University. Professors of Practice and Lecturers at the Freeman School deliver rigorous undergraduate and graduate courses, often with an experiential learning focus and are expected to remain active in their fields through professional and scholarly activities.

Service to the Management Science Area, the Freeman School, and Tulane University is expected. Candidates should submit a cover letter, a curriculum vitae, a teaching statement, student course evaluations, and a list of two professional references (with contact information) who can provide confidential letters of recommendation. Other materials may be requested later. Applications will be accepted until the position is filled or closed.

For further inquiries about this position, please email Dr. Senot, at [email protected]. . Candidates are expected to be either professionally qualified (i.e., Master's Degree in Management Science or a related field and a substantial record of recent professional experience) or academically qualified (i.e., Ph.D. in Management Science and actively engaged in scholarly and/or professional engagement activities). We seek collegial candidates with demonstrated excellence in communication skills and/or success in classroom teaching, experience with experiential learning, and the ability to build relationships with industry partners.

Candidates should also have expertise in advanced business analytics, using Excel, R, and Python, and in data visualization, using Tableau and/or Power BI.