> Markdown version of [/jobs/ext/3886010-ccb-tenure-track-assistant-professor-in-management-information-systems-mis](https://www.wearedevelopers.com/jobs/ext/3886010-ccb-tenure-track-assistant-professor-in-management-information-systems-mis). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # CCB - Tenure-Track Assistant Professor in Management Information Systems (MIS) - **Company:** United Artists Theatre Company - **Location:** Abernant, AL, United States - **Contract:** Permanent contract - **Skills:** Information Systems, Generative AI - **Published:** October 23, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=3030149953-2 ## About the Role 1. A doctoral degree in MIS or a closely related field by the time the appointment begins; 2. Candidates must provide tangible evidence of a strong commitment to lead independent research as lead authors and publish in MIS journals recognized on the Culverhouse Journal List, particularly in the 'Aspirational' and 'Excellent' categories: -journal-list/. 3. Evidence of interest in and enthusiasm for teaching excellence; 4. Willingness to provide service for the operation and functioning of the department, school, and university. Preferred Qualifications 1. Flexibility and latitude in teaching undergraduate and graduate courses. 2. Prior industry/professional experience. 3. Experience in teaching project-based courses with industry collaboration. ## Description We seek a candidate whose teaching and research are centered on Generative Artificial Intelligence (GAI). Primary duties involve teaching undergraduate and graduate MIS courses, conducting high-impact research that appears in top peer-reviewed journals on the Culverhouse journal list, and contributing to service as assigned by the department, college, and university., GAI governance, risk management, and responsible use GAI in software development and ecosystems Organizational and societal implications of GAI Agentic systems and autonomous architectures Organizational transformation enabled by GAI Human-GAI collaboration and augmentation GAI's impact on education and the future of work GAI-specific research methodologies in MIS A track-record of external funding is a plus. Candidates must demonstrate excellence in undergraduate and/or graduate teaching. Preference will be given to those with experience in teaching courses related to Generative Artificial Intelligence.