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 solid 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
Robust 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.

📌 Cfl Data Architecture Analytics Lead Toronto (Canada)
🏢 Canadian Football League
📍 Canada