Top Tech Jobs & Startup Jobs in Toronto

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.

Transforms enterprise data into actionable insights across marketing, loyalty, merchandising, and promotions. Builds automated pipelines, analytical datasets, dimensional and semantic models, and interactive Power BI dashboards using SQL, Python/PySpark, Databricks, Azure Synapse, and Microsoft Fabric. Performs campaign and performance analysis, develops advanced DAX metrics, ensures data quality and governance, and communicates findings to stakeholders through clear visualizations and business-focused storytelling.

Leads enterprise pricing and promotional strategy across retail businesses, including price-value transformation, promotions, print, distribution, and gift cards. Owns the True North Price/Value program, balances customer value with sales and margins, improves pricing analytics and measurement, and partners across merchandising, marketing, finance, technology, digital, loyalty, and operations. Builds high-performing teams, drives enterprise change, establishes governance, and advises senior leaders on commercial decisions.

Leads Hadoop-to-Azure modernization, migration planning, data pipeline engineering, workload optimization, and AI-enabled engineering frameworks. Establishes validation, governance, security, observability, performance, and cost controls while managing cutovers and stabilization. Leads data engineers and technical teams, coordinates internal and external stakeholders, and translates modernization strategy into roadmaps, delivery plans, and measurable outcomes.

Develop predictive and prescriptive analytics for forecasting, replenishment, pricing, and promotion optimization. Apply statistical and machine learning models to identify sales drivers, quantify causal impacts, and support business decisions. Partner cross-functionally to integrate explainable recommendations into processes, manage analytics projects, deliver insights, and improve forecasting accuracy. Provide technical leadership, coaching, and subject-matter expertise in data science methodologies and productionized model implementations.