Build AI-enabled engineering frameworks for Canadian Tire Corporation, combining data pipeline expertise with people leadership and rigorous validation. Lead modernization across enterprise data platforms.This Analytics Engineering Manager develops reusable approaches for migration, code generation, testing, optimization, and documentation. You will guide secure batch and streaming pipelines, curated data products, and engineering standards.

Partnerships span architecture, analytics, security, infrastructure, governance, privacy, and business teams.Key Responsibilities:

Build frameworks for pipeline development, testing, quality, and lineageGuide reliable data models and curated analytics data productsEmbed governance, privacy, security, and approved AI-tool controlsValidate recommendations using runtime, accuracy, stability,



and cost baselinesCoach engineers and drive reusable framework adoptionRequirements:

Experience building reusable AI-enabled data engineering frameworksStrong knowledge of data pipelines and contemporary engineering practicesAbility to tune jobs and troubleshoot complex performance issuesWorking knowledge of governance, security, privacy, and lineageStrong communication, prioritization, and change-leadership skillsShape AI-assisted data engineering at Canadian Tire Corporation with validated automation, secure pipelines, governance, and measurable efficiency improvements.

📌 Ai Data Engineering Manager (Winnipeg)
🏢 Canadian Tire Corporation
📍 Winnipeg