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Supervisor, SME Data and Analytics Support

 

Date: April 1, 2026

Location: Oakville, ON – Hybrid

Requisition ID: 20934

Status: Regular

Business Unit: Information and Technology Services

Grade/Band: MP6

Shift Work: N/A

Annual Pay Range: For standard 35-hour work week

Step 1: $126,308 to Step 10: $180,388

 

The successful candidate will be placed at the appropriate step within the salary grade/band, based on relevant years of experience and other applicable considerations.

 

Why join us?

 

The IESO is committed to ensuring Ontario’s electricity system meets the province’s needs today and into the future. We are charged with purpose, delivering reliable, affordable, and sustainable electricity for homes, businesses, and communities across the province. We are energized to grow, embracing opportunities to shape the future of a dynamic and evolving energy sector while advancing our careers. We are powered by teamwork, supported by diverse and passionate colleagues who foster respect, celebrate successes, and thrive on shared achievements. At the IESO, it’s not just what we do—it’s who we are! 

 

Who we are

 

Our central role includes managing the provincial power grid in real-time, overseeing and evolving Ontario’s electricity market, engaging with government, municipalities and Indigenous communities, and planning for Ontario’s future electricity needs. Our employees play a key role in driving grid innovation, protecting the system from threats, advancing the province’s energy conservation programs, and forecasting and procuring the electricity resources we’ll need in the decades to come. 


This is a unionized position that falls within the Smart Metering Division in the Information and Technology Business Unit.

 

What makes this role exciting

 

The energy sector is rapidly evolving, offering exciting new opportunities for those who want to make a difference.

  • 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.


What you’ll do

 

In this role, you’ll make a meaningful impact by contributing to the IESO team and supporting the electricity needs of the province through:

  • The Supervisor, SME Data and Analytics Support is responsible for delivery and continuous improvement of SME’s Data Products, Solutions and Platform. The Supervisor – SME Data and Analytics Support is expected to:
    • 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
  • Develop IESO staff competencies in the area of Data Management. The Supervisor – SME Data and Analytics Support will be responsible for enabling Data Management activities performed by SME and other IESO business units. Support will include:
    • 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
  • Supervision:
    • 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

 

Right now/recently, this position is part of SME's Data & Analytics team responsible for the operation and maintainance of  SME's Advance Data and Analtyics Platform.
 

Role Requirements 

 

Our team consists of experts from diverse backgrounds, each bringing their unique perspectives and skills. 


To succeed in this role, you’ll need: 

 

Education:

  • 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.

 

Experience:

  • 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 have:

  • 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.

 

How We Support You

 

From a comprehensive total rewards program to dynamic learning and development opportunities—including job rotations to broaden your expertise—we empower you to define and shape your own success. When you join the IESO, here’s what you can expect:

 

  • 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. 

 

Deadline: April 15, 2026 at 11:59PM

 

For future reference, please save a copy of the job posting as it will no longer be available once the posting closes.

 

Thank you for your interest in a career at the IESO. Only candidates selected for an interview will be contacted. Please note that the successful candidate must be legally eligible to work in Canada and will be subject to applicable background checks. 

 

IESO will not conduct interviews or offer positions via online, text, chat or social media platforms. We will not gather personal information directly from candidates or potential candidates. Selected candidates will work with our Talent Acquisition team to ensure their application is processed.

 

The IESO currently has a 3-day in-office work week for applicable roles. Over the course of 2026, the IESO will advance plans to acquire additional office space to accommodate more in-office time. While the timeline for moving to a full 5-day in-office model has not yet been established, we are committed to keeping employees and candidates informed as plans progress and give them as much advance notice as possible to prepare for any changes. 

 

We believe in opportunities for everyone. 

 

At the IESO, we know that achieving great results depends on embracing diversity by attracting, developing, and retaining people from a wide variety of backgrounds. We do this by ensuring our recruitment and advancement policies are fair and equitable, and by creating an accessible and inclusive environment—one that values every team member’s unique skills and experiences and ensures they have the support they need to achieve their potential. If you require accommodation during the recruitment process, please let us know. We’re proud to say we’ve been recognized as a supportive, inclusive employer. 

 

Be sure to follow us on LinkedIn.

 

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