Assistant/Associate Professor, Business Analytics

Assistant/Associate Professor, Business Analytics The University of Northern Iowa's Department of Management in the College of Business seeks applicants for a tenure-track position as an Assistant/Associate Professor in the area of business analytics and information systems, starting in August 2023. Primary teaching responsibilities will be courses for the Business Analytics and Management Information Systems majors. Teaching assignments might include introduction to information systems, programming, business analytics, business intelligence, database management, systems development, and other related topics and courses. Applicants who are seeking a balance in teaching/research responsibilities will find a collegial work environment and a faculty actively engaged and committed to the growth and continuous improvement of the Business Analytics and Information Systems programs.

The University of Northern Iowa provides a high-quality education, purposefully guiding students to find and develop their strengths and prepare them for success after college. We have a bold vision that we will be a more diverse and inclusive campus community that provides an engaged education empowering students to lead locally and globally. As we advance our work to become a more equity-oriented institution and realize our vision, we seek to elevate the diversity of our faculty across disciplines, departments, and colleges and to build a more inclusive teaching and learning environment.

Building on its historic excellence in teacher education, the university has developed outstanding programs in business, natural sciences, humanities and fine arts, and social and behavioral sciences with advanced degrees available in many programs. The University's attractive size, approximately 9,000 students, allows UNI to offer faculty, facilities, and academic choices characteristic of a much larger university while retaining a friendly, small-college atmosphere on a park-like campus. UNI has been consistently recognized as one of the "Best Midwest Universities" by U.S. News & World Report. Located in Cedar Falls/Waterloo, the campus is comprised of more than 40 buildings on 940 acres. For more information, visit www.uni.edu.

The successful candidate must hold a Ph.D. in Analytics, MIS, or a related discipline from an AACSB-accredited institution with a specialization in Business Analytics. ABDs are welcome to apply with an expected degree completion date by August 2023. Required qualifications include a record of excellence in teaching with evidence of a student-focused approach; evidence of experience with hands-on business analytics and/or information systems development; demonstrated ability to produce peer-reviewed publishable research that provides insights into issues critical for business decision makers; demonstrated organizational, communication, and interpersonal skills; and be enterprising and demonstrate effectiveness as a member of a collaborative team. Assistant-level applicants must demonstrate the potential for an excellent research record. Associate-level applicants must demonstrate evidence of scholarship appropriate for the rank.

Preference will be given to candidates with a secondary interest in Information Systems Development; stand-alone teaching experience; active participation in appropriate professional associations; applicants at the associate-level will have demonstrable leadership skills in guiding the growth and development of academic programs and curriculum; and evidence of research, teaching, and/or service that positively advances issues of diversity, equity, and inclusion.

Applications received by November 11, 2022 will receive full consideration. To apply, visit http://jobs.uni.edu/. Inquiries may be sent to Roberta Roth at 319-273-6896 or roberta.roth@uni.edu. Pre-employment background checks required.

UNI actively seeks to enhance diversity and is an Equal Opportunity/Affirmative Action employer. The University encourages applications from persons of color, women, individuals living with disabilities, and veterans. All qualified applicants will receive consideration for employment without regard to age, color, creed, disability, ethnicity, gender identity, genetic information, marital status, national origin, political affiliation, pregnancy, race, religion, sex, sexual orientation, veteran or military status, or any other basis protected by federal and/or state law.