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Sessional Lecturer - MBAI 5200G - Ethical and Legal Issues in Analytics and AI - Spring 2026

@ Ontario Tech University
Oshawa, Ontario, Canada
OnsiteTemporary
Responsibilities:teach course, prepare material, grade assignments
Requirements Summary:Teach graduate course on ethics and legal issues in analytics and AI; limited term, Spring 2026. Location: Oshawa.
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Job Description

Sessional Lecturer - MBAI 5200G - Ethical and Legal Issues in Analytics and AI - Spring 2026

Tracking Code: req1997

Faculty of Business and Information Technology

Number of Sections:  1

Appointment Type: Limited Term

Salary Grade: Administered in accordance with Appendix A of the Sessional Lecturers Collective Agreement with PSAC

Posting Date: April 16, 2026             

Closing Date:  April 30, 2026 (7:00 pm EST)

Course Name and Number: MBAI 5200G - Ethical and Legal Issues in Analytics and AI

Location of classes: North Campus
Course Start Date:
May 11, 2026
Course End Date:
July 3, 2026

Reporting to the Dean, the Sessional Lecturer provides
instruction to graduate students in the Faculty of Business and IT.


To view this course description, please click the following link and enter the course code from above:
https://calendar.ontariotechu.ca.

Responsibilities/Accountabilities: 


The primary responsibility of the applicant is to (develop
and) teach a theoretically, methodologically sophisticated and relevant course
at the university level within the parameters of the course description listed
above.  In keeping with a technology-enhanced learning environment
utilizing laptop computers and wireless connectivity, the Sessional Lecturer
will deliver the course using a technology-enhanced learning approach that
includes a variety of inclusive teaching and learning strategies and assessments.  The
Sessional Lecturer will prepare, deliver and grade all course material and
assignments and be available for consultation with students during and
following completion of the course session. 

This position falls within the bargaining unit represented by the Public Service Alliance of Canada (PSAC) and will be subject to the terms and conditions of the collective agreement between the University and PSAC. The collective agreement may be found on the Human Resources section of our website. Candidates will be required to certify that they are currently legally eligible to work in Canada for the duration of the contract. 

Qualifications:  

The successful candidate will have demonstrated excellent
teaching contributions with a proven aptitude for teaching at the
graduate level. 

Required
Skills and Knowledge:


Substantive
Requirements

  • Knowledge of and ability to
    communicate effectively about the overarching ethical values  theories related to AI and data
    analytics
  • Knowledge of and ability to
    communicate effectively about the state of the law in Canada regarding
    privacy and AI. Knowledge of legal frameworks in other jurisdictions,
    especially the EU, is an additional benefit
  • Knowledge of and ability to
    communicate effectively about the key aspects of tort law, contract law,
    and property law as it pertains to information technology, AI, and data
    analytics

Skill-based
Requirements

  • An ability to provide
    innovative and inclusive teaching strategies
  • Evidence of an ability to
    work in a collaborative environment
  • Excellent communication
    skills with an ability to maintain effective relationships with a range of
    faculty, staff and students
  • An ability to teach and
    engage graduate students from a variety of disciplinary and geographic
    backgrounds in the law and ethics of AI and data analytics
  • Knowledge of and experience
    with Learning Management Systems like Canvas
  • Proven experience managing
    large classes and diverse populations
  • Experience coordinating and
    supervising Teaching Assistants as applicable
  • Excellent organizational
    skills are needed to effectively manage course delivery, the marking of
    assignments and exams and the ability respond to student enquiries in a
    timely manner

Education:

Candidates
must meet one of the following education requirements:

  • An SJD/D.Jur/Ph.D in law (completed or ABD) in law with a focus in an area relevant to business and data analytics. Relevant areas include, but are not limited to, artificial intelligence; information technology; privacy; and/or data analytics in a business context.

OR

  • LLM, GPLLM, or equivalent Professional LLM degree in Innovation, Law, and Technology, Law and Technology, Privacy Law, or other relevant area. Relevant areas include, but are not limited to, artificial intelligence; information technology; privacy; and/or data analytics in a business context.

OR

  • A Masters or PhD or PhD (ABD) in Business or in Information Technology with a focus on the law and regulation of information technology or privacy.

OR

  • A Masters or Ph.D in Philosophy or Library Studies or Information Studies. Candidates with one of these degrees should demonstrate a focus on or experience in business ethics; law and regulation of AI, information technology, and/or privacy; and/or the ethics of AI, big data and/or data analytics.

Experience: 

  • Professional experience in
    the management of AI and data analytics in business and/or legal practice
    related to the law and regulation of AI, technology, data analytics,
    and/or privacy are assets. Candidates should document their experience in
    their cover letters.
  • Teaching experiences in a
    post-secondary environment is an advantage, with special consideration
    going to those with experience teaching graduate students.

Priority will be given to an Internal Applicant who has taught any course for the University in three (3) different sessions in the past thirty-six (36) months, provided they meet the requirements for the position as outlined in the job posting.

How to Apply:

Interested candidates should submit in electronic format a covering letter and their resume. Applications will be accepted until April 30, 2026 or until a suitable candidate is found. We appreciate all applications received; however, only those candidates selected for an interview will be contacted.

Ontario
Tech University is actively committed to equity, diversity, inclusion, indigenization
and decolonization (EDIID), and welcomes applications from all qualified
candidates, while especially encouraging applications from First Nations,
Metis, Inuit peoples, Indigenous peoples of North America, racialized persons,
persons with disabilities, and those who identify as women and/or
2SLGBTQ+. All qualified candidates are encouraged to apply;
however, Canadian citizens, permanent residents, Indigenous Peoples in Canada, and those eligible to work in
Canada, will be given priority.

Ontario Tech University respects people's different needs and therefore will take all reasonable steps to ensure accommodation for applicants where appropriate. The University is also committed to ensuring that confidentiality is maintained throughout all aspects of the recruitment cycle.

If you require accommodation, please contact Julie Day, Health and Disability Management Specialist. For more information about the universities policies for accommodating employees with disabilities please review the university’s Accessibility Policy.

The university acknowledges the lands and people of the Mississaugas of Scugog Island First Nation which is covered under the Williams Treaties. We are situated on the Traditional Territory of the Mississaugas, a branch of the greater Anishinaabeg Nation which includes Algonquin, Ojibway, Odawa and Pottawatomi.

Job Location: Oshawa, ON, Canada