TA366252- Winter 2026-LEAD*6800 Personal Skill Self-Assessment

Teaching Assistant Work Assignment
Posting Details
Type of Work Assignment and Bargaining Unit: 
GTA, Unit 1
Academic Unit: 
LANG Executive Programs
Semester(s) of Assignment(s): 
Winter 2026
This Work Assignment(s) may be assigned to fulfill the terms and conditions of a guaranteed Job Security Period: 
N/A
Course Details
Course Number: 
LEAD*6800
Course Name: 
Personal Skill Self-Assessment
Course Format: 
Other
Course Description: 
See Course Calendar
Other Course Description or Assignment Information: 
This is an intensive, 7-week online course for professionals in the MA Leadership program. Course begins February 23rd, 2026, course ends April 12th, 2026, grade due by April 27th, 2026.
Projected Class Enrolment: 
40
Level of Appointment for GTA, GSA-1 UTA(s)
The following is an estimate of number and levels of available appointments at the time of posting. This may change (increase or decrease) at the time of assignment contingent on departmental needs.
This Posting includes Multiple Work Assignments: 
No
Number of Available 0.25 (35 hour) Work Assignments: 
0
Number of Available 0.5 (70 hour) Work Assignments: 
1
Number of Available 0.75 (105 hour) Work Assignments: 
0
Number of Available Full 1.0 (140 hour) Work Assignments: 
0
Total Number (Load) of Assignment(s) Available: 
1
Duties and Responsibilities
Anticipated Duties and Responsibilities: 
Orientation-Training
Preparation
Email Correspondence/Monitoring
Conducting Labs/Seminars
Meetings
Grading
Other Duties Described: 
Grading includes- Discussion board and weekly assignments will be completed each week, starting Week 1 and ending on Week 7. This is an intensive, 7-week online course for professionals in the MA Leadership program. This is an intensive, 7-week online course for professionals in the MA Leadership program. Course begins February 23rd, 2026, course ends April 12th, 2026, grade due by April 27th, 2026.
Qualifications
Required Qualifications: 
PhD student with knowledge of course material, with an emphasis on leadership expertise. Prior success in GTA'ing Executive Programs course at the University of Guelph.
Preferred Qualifications: 
Strong communication / interpersonal / verbal and written feedback skills are a must. Attention to detail and Effective time management.
Days Required and Wages
Days and Times Required: 
This is an intensive, 7-week online course for professionals in the MA Leadership program. Course begins February 23rd, 2026, course ends April 12th, 2026, grade due by April 27th, 2026.
Period of the Work Assignment (Start Date and End Date): 
February 23, 2026 to April 27, 2026
Wage Rate (per hour, per semester, per Full-load 1.0 Work Assignment): 
GTA $49.43/hr; $6,924.98/semester effective 2025/26
Other Posting Information
Application Deadline (All postings will automatically expire at 11:59 pm on this day): 
Thursday, December 4, 2025
Posting Email Contact: 
execpost@uoguelph.ca
Hiring Contact Information: 
Dr. Laurie Barclay, lbarcl01@uoguelph.ca

At the University of Guelph, fostering a culture of inclusion is an institutional imperative. The University invites and encourages applications from all qualified individuals, including from groups that are traditionally underrepresented in employment, who may contribute to further diversification of our Institution. For more information, the Office of Diversity and Human Rights (DHR) is a welcoming, safe and confidential one-stop shop for information, training and support on issues relating to diversity and human rights on our campus.

All applicants must be eligible to work in Canada specifically at the University of Guelph before applying for an academic work assignment. All successful applicants must perform their work in Ontario and must be able to attend on-campus in-person meetings as required.

Teaching Assistant work assignments are unionized with CUPE 3913 and their terms and conditions of work are covered by the Unit 1 Collective Agreement between the University and CUPE 3913 (email contact: president@cupe3913.on.ca).

The use of AI to perform job responsibilities must be directed by or approved beforehand in writing by the supervisor or course instructor.