SESSIONAL FACULTY- Master of Management in Applied AI and Data-Driven Decicion-Making (Operations Management) Fall 2026

Job ID

76907

Job Title

SESSIONAL FACULTY- Master of Management in Applied AI and Data-Driven Decicion-Making (Operations Management) Fall 2026

Regular/Temporary

Temporary

Location

Central Campus

Open Date

2026/06/23

Job Type

Limited Term (<12 months)

Close Date

2026/07/06

Employee Group

CUPE Sessional Faculty

Favorite Job

Department

DSB Grad Programs

Full/Part Time

Part-Time

Job Code

001095

Existing Vacancy

Yes - Newly Created Position

Contract Duration

3.1 Months

Target Number of Openings

1

Hours per Week

14

Posting Details

NOTICE OF POSTING

For Sessional Faculty

The Department of Operations Management invites applications for the following teaching position to be offered in the 2026 Fall session.

Department Contact: Dr. Yun Zhou, Area Chair, Operations Management.

Course Name(s)/Number(s): MMGMT715, Decision Making Under Uncertainty

Term: Fall 2026

Number of Section(s) Available: 1

Number of Units per Section: 3

Location (on/off campus): DeGroote School of Business, Ron Joyce Centre

Projected Enrollment: 30 students

Projected TA Support: 30 hours

Start Time and Duration: TBD

Wage Rate: $9,750

Required Qualifications:

A Master’s degree in Business Analytics, Management Science, Operations Management, Operations Research, Data Analytics, Statistics, Industrial Engineering, or a closely related field, with at least two years of managerial, professional, consulting, or analytical experience in business analytics or a closely related area. Demonstrated proficiency in Microsoft Excel, Excel Solver, and Power BI, as well as the ability to integrate these tools into instructional activities. Evidence of successful teaching, training, or instructional experience in business analytics, management science, operations management, quantitative methods, or a closely related discipline. Demonstrated proficiency in optimization, decision analysis, simulation modelling, and data visualization.

Preferred Qualifications:

A Ph.D. preferred in a relevant subject area, demonstrated teaching excellence at McMaster or another university, more than 2 years of related managerial/professional experience.

This position requires regular on-site attendance at a McMaster University campus to support operational requirements. Flexible work arrangements may be available where operationally feasible and in accordance with the University's Flexible Work Guidelines.

*Supplemented Fees- Article 15.02 The employee may be eligible to receive supplemented fees in accordance with Schedule B of the Collective Agreement. The actual rate of pay when in excess of the base rate of pay is deemed to include any supplemented fees owing, to the extent of the excess amount. If the actual rate of pay is less than the sum of the base rate of pay and the supplemented fees owing, then the employee shall receive the difference.

How To Apply

1. A cover letter stating your intent to apply for the position (including your address, phone number, and email address) and emphasizing your experience with the material to be taught.

2. A resume listing your academic qualifications and relevant employment experience.

3. Information necessary to determine your current and aggregate seniority (as defined by Article 20 of the Unit 2 Collective Agreement). Questions may be directed to CUPE 3906 (905-525-9140 Ext. 24003).

4. Names and contact information of two references

If you require this information in an alternate/accessible format, please contact Employee/Labour Relations Administrator at extension 23850.

Employment Equity Statement

McMaster University is located on the traditional territories of the Haudenosaunee and Mississauga Nations and within the lands protected by the “Dish With One Spoon” wampum agreement.

The diversity of our workforce is at the core of our innovation and creativity and strengthens our research and teaching excellence. In keeping with its Statement on Building an Inclusive Community with a Shared Purpose, McMaster University strives to embody the values of respect, collaboration and diversity, and has a strong commitment to employment equity.

The University seeks qualified candidates who share our commitment to equity and inclusion, who will contribute to the diversification of ideas and perspectives, and especially welcomes applications from indigenous (First Nations, Métis or Inuit) peoples, members of racialized communities, persons with disabilities, women, and persons who identify as 2SLGBTQ+.

As part of McMaster’s commitment, all applicants are invited to complete a confidential Applicant Diversity Survey through the online application submission process. The Survey questionnaire requests voluntary self-identification in relation to equity-seeking groups that have historically faced and continue to face barriers in employment. Please refer to the Applicant Diversity Survey - Statement of Collection for additional information.

Job applicants requiring accommodation to participate in the hiring process should contact:

• Human Resources Service Centre at 905-525-9140 ext. 222-HR (22247), or
• Faculty of Health Sciences HR Office at ext. 22207, or
• School of Graduate Studies at ext. 23679

to communicate accommodation needs.

Interview Experience

At McMaster University, we believe in a comprehensive and inclusive interview process. Our interview methods encompass a variety of approaches that allow our hiring teams to provide a flexible and accessible experience for engaging with our candidates. Throughout your recruitment process at McMaster, you may be requested to participate in a variety of formats, that may include in-person, virtual or recorded interviews. If you have any questions as you move through the hiring process, please reach out to talent@mcmaster.ca or the HR contact associated with your position of interest.

AI Statement

McMaster and its third-party partners may use AI tools to screen, assess, or select applicants during the hiring process. Please note that currently our recruitment platform does not use AI nor is it part of our current recommended recruitment process.