Adjunct, Business Technology: AI Programming for Business Management

At Wheeling University, you’ll find more than just a workplace — you’ll join a mission-driven community that lives by values of leadership, service, faith, integrity, and excellence. As an employee, you’ll be part of a university that is committed to integrating learning, research, and outreach within its Catholic tradition, seeking to develop not only competent professionals, and also socially responsible citizens. Wheeling promotes close student-faculty connections and encourages all members to grow both intellectually and ethically, to serve with compassion among diverse communities, and to lead by example. In such an environment, your work will matter — your contributions help sustain a culture where academic rigor, moral purpose, and service to others are more deals -they are daily actions and practices.

Wheeling University invites applications for a remote adjunct faculty position in Business Technology within the Department of Business. The successful candidate will teach the undergraduate course AI Programming for Business Management, beginning in the Spring 2027 semester.

We seek a dedicated educator and practitioner-scholar who is passionate about teaching, mentoring students, and preparing future business professionals to apply emerging technologies responsibly and effectively. The ideal candidate will bring expertise in artificial intelligence (AI), relevant industry experience, and a commitment to academic excellence and student success.

The adjunct faculty member will deliver undergraduate instruction in Business Technology, with a focus on AI applications in business management. The successful candidate will help students understand and apply AI programming concepts, machine learning techniques, and generative AI tools to business operations, decision-making, and management challenges.

Responsibilities

• Teach the undergraduate course AI Programming for Business Management in a remote learning environment.
• Develop, update, and maintain course syllabi, instructional materials, assignments, and assessments.
• Integrate relevant AI technologies, machine learning concepts, and generative AI applications into course instruction.
• Maintain accurate student records, including attendance, grades, and course-related documentation in Canvas.
• Evaluate student learning through assignments, projects, examinations, and other appropriate assessment methods.
• Conduct end-of-semester course assessments and participate in relevant faculty evaluation processes.
• Foster student engagement, provide timely feedback, and support student learning and academic success.

• Promote the responsible, ethical, and effective use of AI in business contexts.

• A master’s degree or doctorate in business intelligence, business analytics, information systems, artificial intelligence, or a closely related field, with appropriate graduate coursework in the teaching discipline.
• Demonstrated knowledge of machine learning and/or generative AI applications.
• Relevant professional experience applying AI, analytics, programming, or emerging technologies in business or industry settings.
• Experience teaching AI-related courses, business technology, programming, or a closely related subject at the college or university level is preferred.
• Experience using a learning management system, preferably Canvas.
• Strong communication skills and a commitment to student-centered teaching.

Application Requirements
Applicants must submit the following materials:

• Current curriculum vitae
• List of courses taught, including dates and institutions
• Statement of teaching philosophy
• Transcripts from all degree-granting institutions (official copies required upon hiring)
• Contact information for three (3) professional references (references will not be contacted without prior notification)

EEO Statement:

Wheeling University is an Equal Opportunity Employer. We are committed to creating and sustaining a diverse, inclusive, and welcoming community for all faculty, staff, and students. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. We value the unique contributions that individuals bring to our campus and believe that diversity of perspectives enriches our academic and work environment.