Top Tech Jobs & Startup Jobs in Toronto

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.

Analyzes procure-to-pay billing, vendor funding, rebates, recoveries, reconciliations, and accounting impacts. Leads project plans involving requirements gathering, testing, implementation readiness, issue tracking, risk management, stakeholder communication, process mapping, and controls documentation. Identifies root causes of billing defects, data inconsistencies, control gaps, and process breakdowns while supporting process improvements and knowledge transfer. Requires strong financial and accounting knowledge, analytical skills, advanced Excel proficiency, and 2–3 years of analytical experience.

Lead end-to-end development, deployment, monitoring, and optimization of predictive credit models, scorecards, and customer segmentation strategies. Build models supporting acquisition, credit limits, and collections; analyze large datasets; address scoring issues; and translate results into business recommendations. Collaborate with stakeholders and present model findings to senior management while ensuring analytical rigor, regulatory soundness, and measurable business impact.

Leads enterprise promotional operations across print production, distribution, gift cards, promotional calendars, and cross-functional integration. Develops strategy, manages suppliers and budgets, improves operational controls, coordinates retail banners, and resolves production and distribution risks. Partners with Marketing, Merchandising, Supply Chain, Finance, Digital, Technology, and Store Operations while developing teams and supporting enterprise transformation programs.

Leads Canadian Tire retail promotional strategy, planning, pricing and program performance across weekly promotions and major events. Owns promotional calendars, product and price selection, ROI and margin optimization, governance, AI-enabled pricing and promotion capabilities, automation, and continuous improvement. Builds executive alignment, manages trade-offs, drives change adoption, and develops a high-performing Promotions organization through coaching, clear accountability, and evidence-based decision-making.

Develop and improve machine learning and generative AI models for customer shopping missions, occasion discovery, transaction classification, and behavioral analytics. Research modeling approaches, design prompts, evaluate model quality, run experiments, analyze customer data, and establish testing frameworks. Partner with ML/AI engineers to productionize models, monitor performance, document decisions, and support personalization, marketing, merchandising, and customer intelligence use cases.

Own and operate a customer intelligence platform using machine learning, generative AI, and large-scale transaction data. Lead its transition from third-party ownership, manage production scoring and pipelines, develop ML and GenAI capabilities, establish evaluation and governance controls, and improve reliability, scalability, accuracy, and cost. Build production Python and PySpark software while driving MLOps, LLMOps, testing, deployment, monitoring, and architectural improvements.

Leads enterprise disaster recovery planning, runbook development, exercise design, test execution, and remediation. Validates RTOs and RPOs, coordinates cross-functional stakeholders, improves recovery methodologies, implements automation, builds DR dashboards, and delivers executive reporting on recovery readiness, risks, and corrective actions.

Analyze customer and financial data to identify trends, opportunities, and loyalty program insights. Apply statistical techniques such as hypothesis testing, clustering, and segmentation; create reports and visualizations; and communicate actionable findings to cross-functional stakeholders. Partner with data teams to improve infrastructure and reporting, support strategic initiatives, and enhance customer retention and engagement.

Provide L2 support for store applications, troubleshoot incidents, monitor performance, coordinate vendors, and manage incident and problem resolution. Perform root cause analysis, track SLAs and KPIs, communicate with stakeholders, maintain support documentation, and contribute to monitoring, SRE, and continuous improvement initiatives. The role may include after-hours on-call support.