Top Tech Jobs & Startup Jobs in Toronto

Perform forecasting and predictive/statistical modelling to inform assortment, forecasting and replenishment. Build explainable ML models, design user-friendly reporting and tools, manage multiple analytics requests, maintain forecasting systems, automate processes, and act as subject matter expert for forecasting.

Perform forecasting analysis and predictive/statistical modelling (including ML) to generate insights for assortment, forecasting and replenishment. Build user-friendly tools and reports, ensure forecasting systems and EUC tools are operational, automate functionality, manage multiple requests/projects, and act as a forecasting subject-matter expert working with merchandising, forecasting, and promotions teams.

Support execution and sustainment of Triangle Partnerships through financial/economic modelling, data collection, analysis, reporting, and presentation development. Produce insights from customer/member data, build stakeholder relationships, improve processes, and support partnership decision-making and project management to grow Triangle Rewards membership.

Lead enterprise data strategy, governance, and analytics to turn data into actionable insights. Partner across IT, privacy, finance, operations and charity functions to implement data platforms, reporting tools, AI best practices, and data products. Build data literacy, mentor analytics staff, manage vendors, and support evidence-informed decision-making and impact measurement.

The Forecast Analyst will create product-level forecasts using historical data and analytics, monitor demand variances, and collaborate with category team members to ensure financial targets are met.

Lead strategic process reengineering initiatives using systems thinking, Lean Six Sigma, Agile and data-driven analysis. Design and implement technology solutions (RPA, generative AI), manage cross-functional projects, monitor process metrics, drive change management, and advise leadership on process optimization opportunities.

Lead enterprise program to build and mature Canadian Tire's Agentic AI platform. Manage integrated plans, risks, dependencies, stakeholder alignment, executive reporting, adoption playbooks, and team leadership while coordinating architecture, security, data, cloud, vendors, and governance to scale a reusable, responsible AI agent platform.

Support ecommerce last-mile and courier operations through data migration, integration, analytics, dashboards, and process improvement. Design pipelines, ensure data quality, lead Agile projects, liaise with stakeholders, map and simulate processes, drive courier capacity and cost/service improvements, and support RFX and business reviews.

Perform independent QA reviews of AML investigations, validate decisions, submit STRs to FINTRAC, provide SME guidance and coaching, analyze QA trends, recommend process improvements, and support AML projects and training to ensure regulatory compliance.

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.