Jobs at Hudson's Bay Company

Designs, builds, automates, and supports secure, scalable Azure cloud data platform capabilities for analytics, machine learning, and AI workloads. Develops Terraform infrastructure modules, PowerShell automation, Azure DevOps pipelines, CI/CD practices, and reusable engineering patterns. Supports Databricks, Unity Catalog, Synapse, monitoring, security, disaster recovery, and operational improvements. Reviews code, establishes engineering standards, coordinates cross-functional delivery, manages technical risks, and mentors engineers.

Participate in three technology rotations across digital platforms, cloud, automation, data, development, quality engineering, machine learning, cybersecurity, and governance. Apply agile methodologies, support digital innovation, analyze information, collaborate with stakeholders, and build broad technical expertise. The program is designed for recent or upcoming graduates seeking long-term careers in IT and technology.

Support forecasting, budgeting, month-end close, and financial reporting for supply chain and transportation cost centers. Analyze freight, fuel, carrier, and logistics costs; develop financial models; track operational KPIs; and provide variance analysis, business cases, and actionable insights. Partner with Finance, Supply Chain, and Transportation teams to guide decisions, improve reporting workflows, ensure data integrity, and evaluate network, route optimization, vendor, and investment opportunities.

Leads enterprise data strategy execution by aligning business priorities with data investments, managing intake and prioritization, maintaining data roadmaps, and developing executive recommendations. The role bridges business and technology teams, facilitates stakeholder workshops, manages portfolio dependencies and risks, and promotes data accessibility, trust, and business value.

Leads data migration and integration across SQL Server, Oracle, IHUB, enterprise warehouses, and Snowflake. Develops data models, pipelines, dashboards, and reporting using Power BI, ThoughtSpot, and Tableau. Supports ecommerce transportation and supply chain process improvement through analytics, simulation, stakeholder collaboration, project management, change initiatives, documentation, and business reviews. Acts as a liaison and subject matter expert to improve courier capacity, service levels, cost effectiveness, and decision-making.

Develop and deploy production machine learning solutions for retail personalization and loyalty offers. Build recommender and ranking models, large-scale PySpark feature pipelines, offline evaluation frameworks, ML platform infrastructure, and agentic AI systems. Operate cloud training workflows and analytical pipelines while improving reliability, scalability, and engineering standards through mentorship and code review.

Leads end-to-end procurement and strategic sourcing for point-of-purchase signage and in-store marketing materials. Responsibilities include sourcing strategy, competitive bids, negotiations, contracts, supplier governance, performance management, spend analysis, reporting, budgeting, risk mitigation, and process improvement. The role partners with marketing, merchandising, procurement teams, and suppliers while coordinating cross-functional workstreams and coaching analysts.

Supports relationships with sports partners, including planning and executing partnership strategies, activations, and cross-functional programs. Manages partnership terms, tracks performance and ROI, supports budgets, and develops strategic communications and presentations. The role requires sports marketing or sponsorship experience, strong organization and communication skills, stakeholder relationship management, and the ability to manage multiple priorities in a fast-paced environment.

Owns governance, lifecycle strategy, reliability, observability, resiliency, and vendor accountability for enterprise compute platforms, including IBM Mainframe, AIX, and IBM iSeries. Leads platform roadmaps, monitoring standards, disaster recovery oversight, incident escalations, service governance, audit controls, documentation, and continuous improvement. Coordinates managed service providers, validates contractual and operational performance, addresses risks and ownership gaps, and drives SRE practices, automation, platform sustainability, and modernization.

Lead the enterprise program for building and scaling Canadian Tire’s Agentic AI platform. Responsibilities include integrated planning, milestone and risk management, governance, executive reporting, stakeholder alignment, platform readiness, adoption planning, roadmap development, and people leadership. The role coordinates architecture, engineering, security, privacy, data, cloud, vendors, and business teams while translating complex technical issues into clear business decisions.

Leads machine learning and predictive scorecard projects for credit origination, limits, and collections. Responsibilities include data sourcing, modeling, validation, deployment, scoring oversight, model performance reviews, customer segmentation, stakeholder collaboration, reporting, and presenting results to senior management. Requires expertise in predictive modeling, machine learning metrics, SQL, Python, and large relational databases, with credit risk experience and SAS, cloud, and modeling platform exposure preferred.

Support execution of the Regulatory Compliance Management program: plan and perform monitoring and testing, assess controls and risks, lead workshops, support regulatory change and remediation, provide guidance to business stakeholders, prepare reporting, and improve compliance processes.

Support the bank's Regulatory Compliance Management program by monitoring regulatory changes, executing compliance testing, maintaining inventories and documentation, overseeing remediation, producing compliance metrics and reports, and partnering with business and control functions to identify and mitigate regulatory compliance risks.

Design and build AI agents, automated workflows, and Atlassian configurations using Rovo Studio, Jira, Confluence, and Microsoft 365 Copilot. Translate business challenges into scalable processes, configure automations, create knowledge structures, monitor adoption, and promote responsible AI use. Develop documentation, playbooks, training, and enablement materials while collaborating with product, engineering, architecture, QA, delivery, and business teams.

Lead strategic network and security infrastructure programs: develop capability roadmaps, define security standards, prioritize initiatives, align stakeholders, deliver capability frameworks and communications, and drive technical decisions to improve enterprise cyber posture.

Owns regional pricing workstreams, operations, governance, reporting, and process improvements. Analyzes pricing, competitor, customer, and operational data to generate recommendations. Acts as a subject matter expert, investigates issues, performs root cause analysis, and partners cross-functionally on capability enhancements. Provides day-to-day guidance and coaching to pricing analysts while ensuring accurate, consistent execution and adherence to business rules.

The Senior Financial Analyst supports IT FP&A through budgeting, forecasting, variance analysis, financial modeling, reporting, and actionable business insights. The role partners with Technology, Finance, and cross-functional stakeholders, improves financial planning processes, streamlines reporting, and increases automation. Responsibilities include monitoring performance against targets, identifying financial drivers and risks, maintaining reporting tools, and supporting strategic decision-making.

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

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 drive customer growth, retention, promotional effectiveness, and financial performance. Establishes model validation and monitoring standards, translates complex analyses into recommendations, and coaches analysts and data scientists while maintaining technical oversight.

Lead establishment of an Agile & AI performance measurement practice: define frameworks, KPIs, tooling, governance, analytics platform strategy, and executive storytelling to measure delivery flow, quality, value, and GenAI/automation impact. Build and lead the team and partner across functions to turn insights into operating decisions and improvements.