Lecturer

Gen Bus 210 (AI-Enabled Business Solutions Lab) is a 2-credit course taken by all Bachelor of Business Administration (BBA) students at the Wisconsin School of Business. Its goals are to prepare students for real client engagements and to provide guided learning experiences leveraging AI to deliver value for clients. Emphasizing “learning by doing,” the course develops skills in consulting, project management, and applied AI through carefully controlled engagements with AI-simulated clients: some engagements focus on scoping a problem and delivering actionable, data-driven recommendations, while others focus on designing, building, and testing digital solution prototypes using AI-assisted tools. This “lab-to-field” approach advances the School’s position as a leader in AI-enabled experiential learning.

About the role

The Lecturer plays a central role on the instructional team to design and deliver this course for all BBA students — facilitating hands-on labs, lectures, demonstrations, and discussions; guiding students through simulated client engagements; and assessing student projects, presentations, and online learning modules. The role requires exceptional classroom facilitation skills, fluency with AI tools, and the ability to translate theory into applied practice. The annual instructional load is 18 credits (number of credits is determined based on Full Time Equivalent (FTE)).

While focused on Gen Bus 210, this position resides in the Operations and Information Management (OIM) department, and the Lecturer may also teach related courses — such as project management, product management, business analytics, technology strategy, or cybersecurity — as appropriate to their qualifications and department needs.

The Lecturer will join the OIM Department, where we integrate technology and operations to lead better organizations. Our vibrant faculty bring both world-class research and deep practitioner expertise into the classroom — research spanning areas such as digital platforms, health care, AI, supply chains, and sustainability, and practitioner backgrounds in areas such as product management, consulting, supply chain management, analytics, and business process improvement.

This position can be extended in subsequent semesters to teach one or more of the listed courses, or similar courses within the department. The FTE for this position has the potential to fluctuate depending on the number of classes taught. This position may become renewable if there is a need for an ongoing appointment. This position can be full or part-time, between 10-100%.

Responsibilities

• Facilitates classroom, online and/or laboratory instruction for one or more courses, including assessment of student performance
• Develops instructional design and curriculum relevant to a course of instruction
• Serves as an initial point of contact for students as it relates to specific course or series content and expectations

Qualifications

Required:

• At least five years of professional experience, or a PhD in a relevant field in lieu of professional experience
• Professional or academic experience in technology or a technology-adjacent field
• Master’s Degree

Preferred:

• Professional experience in product management, consulting, or other applied business roles
• Demonstrated experience teaching, facilitating, or training in higher education or professional settings, with a record of high-quality instruction
• Experience building and deploying AI-enabled solutions, reflecting strong technical proficiency with modern AI tools

Pay

Negotiable. Actual starting salary will be based on experience and qualifications. The salary for this position is based on full-time salary for a 9-month basis. Actual pay is determined based on the number of days on contract and prorated by Full Time Equivalent (FTE).