Job ID

79234

Job Title

SESSIONAL FACULTY- MMGMT713, Predictive Analytics for Managers, Winter 2027

Regular/Temporary

Temporary

Location

Ron Joyce Centre

Open Date

2026/10/16

Job Type

Limited Term (<12 months)

Close Date

2026/10/29

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

4

Posting Details

NOTICE OF POSTING For Sessional Faculty

(DeGroote School of Business)

The Department of MAIDM invites applications for the following teaching position to be offered in the 2027 Winter session.

Department Contact: Dr. Manish Verma, Area Chair, Master of Management in Applied AI and Data-Driven Decision Making.

Course Name(s)/Number(s): MMGMT713 , Predictive Analytics for Managers

Term: Winter 2027

Number of Section(s) Available: 1

Number of Units per Section: 3

Location (on/off campus): RJC Blended

Projected Enrollment: 30 Students

Projected TA Support: 30 hours

Start Time and Duration: Various

Wage Rate: $9,750

Required Qualifications

This course will cover some foundational predictive analytics techniques (regressions, classification, and time-series forecasting) and will connect those techniques to real-world use cases in businesses. With a unique blend of analytical and business elements, this course will equip the students with the right skills and mindset to add value to businesses. One of the standout elements in the course is deployment of predictive models by using one of the state-of-the-art Cloud Datawarehouse systems in the industry.

Participants will gain practical experience in operationalizing predictive analytics, learning how these models integrate seamlessly into day-to-day business operations.

- Advanced Analytics & AI Expertise: demonstrated expertise in data analytics, Big Data, and artificial intelligence implementation
- 5+ years of relevant industry experience, working with real-world analytics applications across sectors Proven ability to communicate complex analytical concepts to diverse audiences, particularly AI and data-driven decision-making

Preferred Qualifications: Master of Business Administration Preferred.





This position requires regular in office attendance at a McMaster University campus to support operational requirements. Adaptable 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 Unit 2 Collective Agreement). www.cupe3906.org/unit-2-seniority-information/

4. Names and contact information of two references. Applicants will not be required to submit reference letters as part of their application.

Job applicants requiring an accommodation to participate in the hiring process should contact the Human Resources Services Centre at (phone hidden) ext. 222-HR (22247) to communicate accommodation needs.

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 (phone hidden) 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 [email protected] 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.

📌 SESSIONAL FACULTY- MMPredictive Analytics for Managers, Winter 2027 (Canada)
🏢 McMaster University
📍 Canada