Supervisor, SME Data and Analytics Support

Independent Electricity System Operator

1d • Hybrid

About The Position

The successful candidate will lead and continuously enhance SME’s data and analytics program by establishing standards, improving data management practices, and ensuring high‑quality, secure delivery of data services while building team capabilities. They will also supervise staff, champion data management adoption across the SME and broader IESO, and drive process improvements through training, stakeholder engagement, and strategic initiatives.

Requirements

• Requires knowledge of Data Management practices, to provide consulting and support services and to provide strategic planning related to Data Management at the IESO.
• This knowledge is considered to be normally acquired either through the successful completion of a four year university education in the appropriate discipline or equivalent experience related to Data Management.
• A minimum of 8 years of experience in delivery of Data Services.
• A minimum of 3 year of experience of leading a Data Services team.
• Demonstrated experience in Data Management including planning, modelling, maintenance, and execution.
• Demonstrated experience with Data Management and modelling technologies including Data Catalogue, Data Marts, Data Quality Engineering, Master Data Management, Database Administration, Business Intelligence (BI) tools (e.g. Tableau, Power BI), Data Observability, Extract Transform and Load (ETL) development and maintenance, SQL and Python development languages.
• Experience in participating in procurements, managing software contracts and licensing.
• Experience in implementing and designing BI architecture, with market-leading database environments such as Oracle, mongoDB, Databricks or MS SQL Server, for analytical solutions, and manage the design of data models to support reporting, analysis, and development of AI/ML models.
• Demonstrated ability to interact with internal management team and external clients using strong leadership and communication skills.
• A period of over 10 years and up to and including 12 years is considered necessary to gain this experience.

Nice To Haves

• An advanced degree in engineering, computer science or related disciplines
• Extensive knowledge of cloud computing (preferable Microsoft Azure cloud), Databricks and expereience in developing AI/ML models.

Responsibilities

• Define strategies, standard approaches, methodology and techniques for managing, modelling and enabling use of data and analytics for the SME.
• Remain current with market developments, recommend new approaches and leading practices
• Through management, oversight, review, and training, ensures data and analytics services are completed in an accurate, efficient, and timely manner
• Ensures confidentiality and security of sensitive data and reports including personnel data, subscriber personal data, and financial data.
• Conduct maturity assessments, make recommendations for enhancement, prepare road maps for process improvements, and manage the implementation
• Define procedures and artifacts for different modelling and management needs
• Define common tools platforms and configurations to enable effective management of data
• Work with stakeholders to improve use and performance of data management processes and tools
• Enable adoption of the Data Catalogue by the SME
• Training and coaching teams in standard data management practices and tools
• Work with test teams to implement effective data modelling patterns
• Administrative support of the Data Management tools provided for use by the IESO
• Responsible for hiring, onboarding, supervising, coaching, short-term development planning and performance evaluation for staff with input from Senior Manager as required
• Promote Data Management for SME. The Supervisor – SME Data and Analytics Support will be responsible for the adoption of Data Management practices throughout the SME. This will be achieved by interacting with IESO management staff and test leaders outside of SME to influence the Data Management decisions that are made throughout the SME.
• Perform other duties as required

Benefits

• Best-in-class benefits and long-term support in the form of a defined benefit pension plan.
• Work in a dynamic and evolving sector that offers exciting opportunities and the chance to explore new career paths.
• Leadership that values meaningful discussions, welcomes feedback, and prioritizes career development.
• A strong, inclusive culture and a collaborative team environment with a shared passion for impactful work.
• Compensation packages that are regularly reviewed to remain competitive and to best accommodate the diverse needs of our employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees