Non-Tenure Track Teaching Position (Lecturer/Assistant Teaching Professor), Department of Information Systems and Analytics (ISA)

Bryant University; Smithfield (RI); On-site; USD 65,000 - 90,000; Full time

Job summary

Bryant University in Smithfield, RI invites applications for a Non-Tenure Track Teaching Faculty position beginning in August 2027. The successful candidate will contribute to undergraduate and graduate ISA programs in Business Analytics and Applied AI, teaching four courses per semester and developing materials.

We welcome applicants able to teach Programming, Business Analytics and Applied AI, with preference for Cybersecurity and Robotics.

Qualifications

• Master’s degree required in IS, CS, analytics or related field.
• Evidence of teaching effectiveness at university level.
• Experience with business analytics and AI is preferred.

Responsibilities

• Teach undergraduate courses in Programming, Business Analytics, Introduction to AI.
• Develop course materials integrating industry practices and AI applications.
• Contribute to ISA curriculum development and accreditation.
• Mentor Bryant students and collaborate with faculty.
• Engage with the business community to support experiential learning.
• Participate actively in university community.

Skills

Teaching

Business Analytics

Applied AI

Education

Master’s degree in Information Systems or related field

Tools

Programming

Analytics platforms

AI applications

Job description

Non-Tenure Track Teaching Position (Lecturer/Assistant Teaching Professor), Department of Information Systems and Analytics (ISA)

Job Title Non-Tenure Track Teaching Position (Lecturer/Assistant Teaching Professor), Department of Information Systems and Analytics (ISA)

Full Time / Part Time

Full Time / Part Time Full Time

Job Type

Job Type Faculty

Reports To

Reports To Dean, College of Business

Position Summary

The Department of Information Systems and Analytics ( ISA ) at Bryant University invites applications for a Non-Tenure Track Teaching Faculty position beginning in August 2027.

The successful candidate will be expected to contribute to our undergraduate and graduate ISA programs in Business Analytics and Applied AI. The standard teaching load for this position is four courses per semester (4–4 load). We especially welcome applicants qualified to teach courses in Programming, Business Analytics and Applied AI. Candidates with additional expertise in Cybersecurity and Robotics are preferred.

This position requires a strong commitment to teaching excellence. In addition, the position requires contribution to service projects at the department, college, and university level. Salary is market based and commensurate with preparation, experience, and demonstrated performance.

Bryant is recognized as a top 1 percent national leader in student education outcomes and ROI and regularly receives high rankings from U.S. News and World Report, QS Stars, Money, Bloomberg Businessweek, Wall Street Journal, and College Factual. Bryant’s strategic plan, Vision 2030 , redefines higher education through a commitment to providing students with a transformational learning experience. Vision 2030 accelerates advancements in academic innovation, experiential learning, vibrant student life, Division I athletics, and a connected community that fosters belonging and success.

Principal Accountabilities

• Teach undergraduate courses in Programming, Business Analytics, Introduction to AI and related courses.
• Develop and deliver course materials that integrate current industry practices, analytics platforms, and emerging AI applications.
• Contribute to the development and accreditation of the ISA curriculum through service activities at the departmental, college, and university levels.
• Collaborate with other faculty and mentor Bryant students to enhance learning community and outcomes.
• Build and maintain connections with the business community to support experiential learning and student success.
• Serve as an active member of the Bryant University community.

Qualifications

Required Qualifications

• Master’s degree in Information Systems, Computer Science, Business Analytics, Data Science, or a closely related field from an AACSB -accredited institution (or equivalent accreditation)
• Significant professional experience in Business Analytics, Applied AI and/or related fields.
• Demonstrated teaching effectiveness at the university level.
• Excellent interpersonal and communication skills.

Preferred Qualifications

• Ability to teach introductory courses in Business Analytics and Artificial Intelligence.
• Experience with hands-on, lab-based, or experiential learning approaches.
• Working knowledge of robotics systems and experience developing applications for humanoid robots.

About the University

Bryant University is a 163 year old private secular institution and is accredited by AACSB -international and the New England Commission of Higher Education. Bryant is a student-centered institution, focused on academic excellence, innovation, and creativity that prepares our students to achieve their personal best in life and in their chosen professions. We have approximately 3,300 undergraduate students who hail from 38 states and 37 countries and approximately 378 full and part-time graduate students. Bryant University is a selective university with prestigious national and international rankings, top accreditations, and strategic affiliations.

Bryant University’s ISA Department consists of nine tenure-track faculty, and three non-tenure track faculty members who bring extensive business experience to the classroom. We offer various programs in Business Analytics and Applied AI at both undergraduate and graduate levels.

At Bryant University, we believe that our strength lies in the richness of our campus community and the unique perspectives that shape it. By connecting academic and social experiences, we create an environment where individuals feel valued, respected, and supported. Our commitment to fostering belonging and well-being ensures that everyone has the opportunity to thrive and contribute meaningfully. We encourage applications from those who appreciate the wide range of experiences and backgrounds that make our community exceptional. Discover more about how we cultivate a welcoming and collaborative campus culture that drives excellence.

Office of Human Resources
1150 Douglas Pike
Smithfield, RI 02918