Lecturer or Clinical Professor, Management Information Systems
Missoula, MT
University of Montana
University of Montana is a public flagship research university in Missoula known for academic rigor, experiential learning, inclusive culture and scenic campus.Description
The College of Business at the University of Montana is seeking to fill a lecturer or clinical professor position in Management Information Systems with a concentration in Data Analytics with an August 2025 start date. The successful candidate will be expected to teach at both undergraduate and master’s levels, with classes in-person and online, and engage in professional and service activities. We will consider applicants with either a practitioner or academic background. We expect this position to be 0.8 FTE.
Qualifications
- For Clinical Professor: Ph.D. in MIS or a closely related discipline (e.g., CIS, Data Science) from an AACSB accredited university
- For Lecturer Position: Masters in MIS or a closely related discipline (e.g., CIS, Data Science, Business Analytics, Data Analytics) from an AACSB accredited university with work experience in the field
- Teaching experience or interest in at least two of the following areas: Business Intelligence, Python, Data Analytics, Machine Learning, Data Engineering, Text Mining, Streaming Analytics, and Data Governance
- Recent, relevant professional experience in Data Analytics in Candidate must be available to teach some in-person classes on our Missoula, Montana campus
- Teaching experience or interest in teaching some classes fully asynchronous online
- Teaching quality demonstrated by recent teaching evaluations and/or awards (preferred)
- Demonstrated commitment to serving the needs of a wide range of student (preferred)
- Demonstrated ability to engage with the business community (preferred)
- Excellent written and oral communication skills (preferred)
- Willingness to work with student groups (e.g., data analytics student competitions, data analytics student interest groups, recruiting events with employers) (preferred)
Application Instructions
Priority Application Date: Thursday, April 24, 2025
For best consideration, applications should be received by April 24, 2025. Position is open until filled, and applications will be accepted until the position is filled, however, only those submitted by the priority application deadline are guarateed for review.
Applicants must submit all application materials to be considered for the positions.
Complete applications must include:
- Cover letter addressing your qualifications, teaching interests, and why you are interested in this position
- Detailed Curriculum Vitae (CV)
- Graduate transcripts
- Summary of recent teaching evaluations
- Names and contact information for three (3) professional references
Equal Employment Opportunity Statement
University of Montana (UM) is an equal opportunity employer. UM does not discriminate against any applicant on the basis of protected class status as described in UM’s non-discrimination policy and any applicable law.
Reasonable accommodations are provided in the hiring process for persons with disabilities. For example, this material is available in alternative format upon request.
Qualified candidates may request veterans’ or disabilities preference in accordance with state law.
Criminal Background Investigation is required prior to the offer of employment. In accordance with university regulations, finalists for this position will be subject to criminal background investigations.
References: References not listed on the application materials may be contacted; notice may be provided to the applicant. Testing: Individual hiring departments at UM may elect to administer pre-employment tests, which are relevant to essential job functions.
Employment Eligibility: All New Employees must be eligible and show employment eligibility verification by the first date of employment at UM, as legally required (e.g., Form I-9).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Analytics Business Intelligence Data Analytics Data governance Engineering Machine Learning Python Streaming Teaching Testing
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