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 lineage

Guide reliable data models and curated analytics data products

Embed governance, privacy, security, and approved AI-tool controls

Validate recommendations using runtime, accuracy, stability,



and cost baselines

Coach engineers and drive reusable framework adoption

Requirements

Experience building reusable AI-enabled data engineering frameworks

Strong knowledge of data pipelines and contemporary engineering practices

Ability to tune jobs and troubleshoot complex performance issues

Working knowledge of governance, security, privacy, and lineage

Strong communication, prioritization, and change-leadership skills

Shape 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