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Term Adjunct Position

Term Adjunct - MDPM 884 Product Analytics

A Term Adjunct position is open at the Smith School of Business for an instructor to teach as part of our new Master’s of Digital Product Management (MDPM) program. The course is anticipated to involve entirely remote instruction, including both live and/or asynchronous teaching methods. The MDPM program is made up of working professionals from across a variety of industries. On average MDPM students have more than 7 years of work experience, coming from a range of both business, programming and technology backgrounds.  By the time students reach this part of the program, this course will occur during the third and final module of the program focused on growing and optimizing a digital product, so students will have already been exposed to training around the ‘fuzzy’ front end of digital product development user needs discovery, designing and prototyping (Module 1) as well as data driven decision making, digital product marketing, architecture and systems integration (Module 2).

Teaching this course includes teaching four, 3.5 hour sessions in July 2023 (a total of 14 hours class time), and is scheduled to be delivered on Tuesday or Wednesday evenings, and/or Saturday morning. Additional office hours may be held outside of those hours. The successful applicant will be required to teach 100% of one (1) section of MDPM 884 with an anticipated enrollment of approximately 45 students.



Qualifications include: a Master’s degree or Ph.D., several years of expertise and professional experience in data or business analytics specifically focused on user/customer centered product optimization using qualitative, quantitative and trace data, and experience teaching university courses and/or professional seminars related to course topic.

The course is described as follows:

This course introduces students to the process of gathering and transforming user-level data into insights that reveal how customers interact with the digital product. Students will learn how product analytics enables organizations to track and analyze its users’ journeys from user activation through all other phases of use. Product analytics is a powerful way to understand what makes users engage with the product, enable product improvements, and evaluate the benefit the digital product provides to customers and other business performance indicators. Students will learn how to capture trace data (e.g., average time users spend on specific features, how many times users return in a day/week), build a simple analytical model, and use insights to improve user experiences (UX).


Smith offers a competitive salary package. The salary for a term adjunct teaching this course will be $8,357.75, which excludes vacation pay and lieu of benefits pay.

Equity Statement

The University invites applications from all qualified individuals.  Queen's is strongly committed to employment equity, diversity, and inclusion in the workplace and encourages applications from Black, racialized/visible minority and Indigenous/Aboriginal people, women, persons with disabilities, and 2SLGBTQ+ persons.  All qualified candidates are encouraged to apply; however, in accordance with Canadian immigration requirements, Canadian citizens and permanent residents of Canada will be given priority.

The University will provide support in its recruitment processes to applicants with disabilities, including accommodation that takes into account an applicant’s accessibility needs. If you require accommodation during the interview process, please contact: Brittany Lovelock at

Academic staff at Queen’s University are governed by a Collective Agreement between the University and the Queen’s University Faculty Association (QUFA), which is posted at and at

To comply with federal laws, the University is obliged to gather statistical information as to how many applicants for each job vacancy are Canadian citizens/permanent residents of Canada. Applicants need not identify their country of origin or citizenship; however, all applications must include one of the following statements: “I am a Canadian citizen/permanent resident of Canada,” OR, “I am not a Canadian citizen/permanent resident of Canada.” Applications that do not include this information will be deemed incomplete.

How to Apply

Deadline for applications:

August 15, 2022

Submit your application online via Interfolio. Link is provided below.

Applicants should submit:

  • A cover letter, explaining your interest and relevant background
  • Current CV
  • 2 letters of recommendation*
  • Teaching evaluations if available

Submit your application online via the Interfolio Faculty Search link. Link is provided below.

*Please list the names and email addresses of your referees on your Interfolio Faculty Search application. Interfolio will send an automated email to your referees and provide them with a link that will allow them to upload their recommendation letters.

For questions regarding the application process, please contact Brittany Lovelock, Senior Staffing Officer, via email at  

Submit your application to: