Jobs at Canadian Tire Corporation

Designs, builds, automates, and supports secure Azure cloud data platform capabilities for analytics, machine learning, and AI workloads. Develops Terraform infrastructure-as-code, PowerShell automation, Azure DevOps pipelines, reusable engineering patterns, and operational tooling. Supports Databricks, Unity Catalog, Synapse, monitoring, security, resiliency, and cost optimization. Conducts code reviews, establishes engineering standards, coordinates cross-functional delivery, manages technical risks, documents solutions, and coaches junior engineers.

Leads enterprise data strategy execution by aligning business priorities with data investments, managing intake and prioritization, maintaining data roadmaps, and coordinating business, technology, architecture, engineering, governance, and analytics stakeholders. Develops executive recommendations, facilitates requirements workshops, manages roadmap dependencies and risks, and provides strategic guidance to improve data accessibility, trust, activation, and business value.

Rotational technology program for recent graduates, offering hands-on experience across digital platforms, cloud computing, AI, automation, data technology, development, quality engineering, cybersecurity, and technology governance. Associates apply agile methodologies, support digital innovation, solve business problems, and collaborate with multiple stakeholders while developing broad technical expertise through three progressive rotations.

Support FP&A for supply chain and transportation cost centers through forecasting, budgeting, variance analysis, financial reporting, and month-end close. Analyze freight, fuel, carrier, and logistics costs; develop financial models; track operational KPIs; evaluate investments and vendor contracts; and provide actionable insights to business partners. The role also supports process automation, data integrity, and ad hoc business cases.

Analyze and integrate transportation and ecommerce data across SQL Server, Oracle, IHUB, Snowflake, and enterprise warehouses. Build dashboards and reporting solutions, support data migration, improve data quality and governance, model processes, and deliver insights for courier capacity, service levels, cost reduction, and decision-making. Lead analytical initiatives using Agile and Waterfall methodologies while collaborating with ecommerce, supply chain, and external stakeholders.

Leads end-to-end procurement and strategic sourcing for in-store marketing materials. Manages competitive sourcing, negotiations, contracts, supplier performance, governance, spend analysis, savings initiatives, reporting, and cross-functional stakeholder relationships. Partners with marketing, merchandising, and suppliers to optimize cost, quality, service, risk, and delivery while improving procurement processes and coaching analysts.

Develop and deploy production machine learning solutions for retail personalization and loyalty programs. Responsibilities include recommender systems, ranking models, offline evaluation, large-scale PySpark feature engineering, ML platform design, cloud training pipelines, agentic AI solutions, workflow orchestration, and production reliability. The role also involves technical leadership through code reviews, documentation, mentorship, and communication of technical and business concepts.

Supports relationships with sports partners, develops and executes sponsorship strategies and activations, coordinates cross-functional initiatives, tracks partnership performance and ROI, manages budgets, interprets contracts, and creates strategic communications. The role requires strong organization, writing, presentation, stakeholder relationship, project management, and marketing skills, with occasional evening or weekend availability.

Leads the enterprise program for building and scaling a foundational Agentic AI platform. Responsibilities include integrated planning, governance, risk and dependency management, executive reporting, stakeholder coordination, platform readiness, adoption playbooks, roadmap development, and team leadership. The role partners with architecture, engineering, security, privacy, data, cloud, vendors, and business teams to mature AI platform capabilities and enable responsible enterprise adoption.

Support the Bank's Regulatory Compliance Management program by executing monitoring, testing, risk assessments, regulatory change implementation, issue remediation, governance support, and compliance reporting to ensure adherence to laws, regulations, and internal policies.

Lead machine learning and predictive scorecard projects for credit origination, limits, and collections. Own model development from data sourcing through validation, deployment, monitoring, and reporting. Develop customer segmentation, evaluate model effectiveness, resolve data or procedural issues, and translate business needs into analytical solutions. Collaborate with internal and retail partners and present model results to senior management.

Support execution of the bank's Regulatory Compliance Management program by planning and performing compliance testing, risk and control assessments, remediation tracking, stakeholder engagement, and reporting. Provide guidance on regulatory requirements, run risk workshops, improve controls, support regulatory change initiatives, and help mature Business Compliance practices.

Designs and builds AI agents and automated workflows using Atlassian platforms and Microsoft 365 Copilot. The role translates business needs into scalable process designs, configures Jira and Confluence, creates automation and knowledge structures, promotes responsible AI use, and supports adoption through documentation, training, demos, coaching, and stakeholder collaboration.

Owns Regional Pricing workstreams, operations, governance, reporting, and process improvements. Analyzes pricing, competitor, customer, and operational data to generate recommendations. Serves as a subject matter expert, investigates issues, leads root-cause resolution, and supports pricing capability enhancements. Provides guidance and coaching to Regional Pricing Analysts while partnering with Merchandising, Analytics, Technology, Promotion Strategy, and other cross-functional stakeholders.

Supports IT portfolio FP&A through budgeting, forecasting, variance analysis, financial modeling, reporting, and actionable business insights. Partners with Technology, Finance, and cross-functional stakeholders to improve decision-making, identify performance drivers, mitigate risks, automate reporting, and streamline planning processes. The role requires strong financial acumen, Excel skills, data analysis capability, communication, critical thinking, and continuous improvement orientation.

Leads advanced statistical modeling and analytics using retail, customer, and loyalty data. Develops forecasting, causal inference, experimentation, predictive modeling, segmentation, optimization, and statistical learning solutions. Partners with senior leaders to improve customer growth, retention, promotions, and financial performance. Establishes model validation and monitoring standards, translates quantitative findings into recommendations, and coaches analysts and data scientists while guiding modeling and experimentation strategy.

Develop scalable business intelligence and reporting solutions across marketing, loyalty, merchandising, and promotional initiatives. Responsibilities include integrating enterprise data, building automated pipelines, creating dimensional and semantic models, developing Power BI dashboards and DAX calculations, analyzing business performance, ensuring data quality, and communicating insights to stakeholders. The role requires strong SQL, Power BI, data modeling, Python or PySpark, and cloud analytics experience.

Lead creation of an enterprise Agile & AI performance measurement practice. Define frameworks, KPIs, tooling strategy, governance, and analytics to measure delivery flow, predictability, quality, value, and the impact of GenAI/automation. Build a high-performing team, translate metrics into executive insights, and partner across engineering, finance, and transformation to drive informed investment and operating model decisions.

Leads the development, implementation, optimization, and governance of credit risk strategies across the customer lifecycle. Owns portfolio monitoring, advanced analytics, segmentation, forecasting, and decision optimization to improve profitability and credit quality. Translates analytical findings into strategic recommendations, partners cross-functionally on risk initiatives, supports policies and governance, and provides subject matter expertise, mentorship, and leadership.

Lead enterprise data stewardship and data quality practices: coach data stewards, define and report quality metrics, manage issue resolution and root-cause analysis, maintain business metadata and critical data definitions, partner with tech and business teams to improve source data and drive continuous improvement.