Lead data architecture and analytics for the CFL in Toronto, using advanced SQL and business intelligence to improve league-wide decisions. This full-time permanent role follows a hybrid work model.
The Canadian Football League seeks a technically strong business leader to build its next-generation data capability. You will design architecture, develop reporting solutions, and work with executives and clubs. The role combines hands-on implementation with analytics team development, governance, and responsible AI adoption.
Key Responsibilities: Design analytics architecture, data models, semantic layers, and data marts
Build SQL-based ETL/ELT pipelines and trusted reporting datasets
Translate business goals into KPIs, dashboards, and analytical solutions
Establish governance, documentation, quality standards, and reporting practices




Grow the CFL analytics team, processes, standards, and culture
Requirements: MBA, master’s degree, or equivalent education and experience
Advanced SQL and reporting, analytics, engineering, or business intelligence experience
Solid business acumen connecting technology with organizational outcomes
Leadership experience through work, projects, entrepreneurship, athletics, or community involvement
Exposure to Snowflake, dbt, Python, Power BI, or cloud platforms
Bring advanced SQL, analytics leadership, and practical AI curiosity to the CFL’s growing data function in Toronto.

#J-18808-Ljbffr

📌 CFL Data Architecture Analytics Lead (Ontario)
🏢 Canadian Football League
📍 Ontario