Sessional Lecturer, INF2202H - Data Governance in a World of Big Data
Toronto, ON, CA
University of Toronto
The University of Toronto is a globally top-ranked public research university in Toronto, Ontario, Canada.University of Toronto
Faculty of Information
Sessional Lecturer
Summer Term 2025 - Session Y (May - August)
INF2202H – Data Governance in a World of Big Data
Course Description: The goal of this course is to prepare students for successful careers in the information profession by providing an understanding of the concepts and practices of Data Governance. Data governance is about formally managing critical data throughout the organization and making sure organizations derive value from it. Organizations are typically forced to stitch together separate clusters, each with its own business purpose or data stores and processes and unique data types such as files, tables, or streams. Data Governance capabilities creates structure for the complexity to allow organizations to navigate their data landscape more efficiently. Data Governance is generally achieved through a combination of people, process and technology to ensure the volume, variety, velocity, and veracity of data brings the most value in the form of data science and analytics.
INF2202H – Data Governance in a World of Big Data
Estimate of the course enrolment: 35
Estimate of TA Support: None anticipated.
Class Schedule: TBD. You are required to be located in geographical proximity to the applicable University premises in order to attend and perform your duties on University premises as of the Starting Date.
Sessional dates of appointment: May 1, 2025 – August 31, 2025
Salary:
Sessional Lecturer I: $10,300
Sessional Lecturer I Long Term: $10,764
Sessional Lecturer II $11,021
Sessional Lecturer II Long Term: $11,227
Sessional Lecturer III: $11,279
Sessional Lecturer III Long Term: $11,485
Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.
Qualifications: Preferably candidates will have a completed, or nearly completed, PhD degree in an area related to the course or a Master’s degree plus extensive professional experience in an area related to the course. Teaching experience is preferred.
Brief description of duties: Preparing course materials; delivering course content (e.g., seminars, lectures, and labs); developing and administering course assignments, tests & exams; grading; holding regular office hours.
Application Deadline: February 18, 2025
Application Process: Applicants must submit a CV and a completed CUPE 3902 Unit 3 application form in one pdf file to the attention of:
Melissa Szopa, Administrative Coordinator, Academic
Faculty of Information, 140 St. George Street
University of Toronto
sessional.ischool@utoronto.ca
This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II and Sessional Lecturer III in accordance with Article 14:12.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Data governance PhD Teaching
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