Lecturer Cybersecurity Jobs (NOW HIRING)

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Job Category: Academic Staff
Employment Type: Terminal (Fixed Term)
Job Profile: Lecturer
Job Summary:
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.
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. We offer three undergraduate majors - Operations and Technology Management, Supply Chain Management, and Information Systems - as well as an MS in Supply Chain Management and a PhD program. We also have a strong presence in the MS in Business Analytics program, the MBA programs, and the Consulting Certificate. The department is also home to two centers founded on the principles of cross-functional perspectives and industry engagement: the Erdman Center for Operations and Technology Management, focused on technology strategy and product management, and the Grainger Center for Supply Chain Management. Both centers play a central role in our MBA programs. The Erdman Center also runs our Certificate in Product Management, and the Grainger Center anchors our Supply Chain Management major and MS in Supply Chain Management.
To learn more, visit https://business.wisc.edu/faculty-research/operations-information-management/.
This position can be extended in subsequent semesters to teach one or more of course(s) listed, 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%.
Key Job 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

Department:
Wisconsin School of Business, Operations and Information Management
Compensation:
Negotiable. Actual starting salary will be based on experience and qualifications.
The salary for this position is based on full-time salary for 9-month basis. Actual pay is determined based on the number of days on contract and prorated by Full Time Equivalent (FTE).
Required Qualifications:

• 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

Preferred Qualifications:

• 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

Education:

• Master's Degree Required

How to Apply:
Click the "Apply" button to start the application process.
You will be prompted to upload the following documents:

• Resume
• Letter of Qualification

Applicants should attach a letter of qualifications and resume detailing their training and experience relating to the required and preferred qualifications referenced above. The application reviewers will be relying on written application materials to determine which qualified applicants will advance in the recruitment process. The search committee will review all application materials after the posted deadline. We will notify selected applicants to participate further in the selection process directly. References will be requested of final candidates. All applicants will be notified after the search is complete and a candidate has been selected.
Please note that successful applicants are responsible for ensuring their eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without need of employer sponsorship) on or before the effective date of appointment.
Contact Information:
Se Ann Yang
se.yang@wisc.edu
608-263-2975
Relay Access (WTRS): 7-1-1. SeeRELAY_SERVICEfor further information.
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Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.
The University of Wisconsin-Madison is an Equal OpportunityEmployer.
Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgroundsand encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.
To request a disability or pregnancy-related accommodationfor any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR)in the division you are applying to.Please make your request as soon as possible to help the university respond most effectively to you.
Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
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