Top Tech Jobs & Startup Jobs in Toronto

Supports cybersecurity governance through risk assessments, vulnerability remediation, control validation, risk reporting, and policy exception management. Provides backup administration for AML and GRC platforms, including IBM OpenPages, and supports incident reporting, root cause analysis, DLP policy implementation, and regulatory readiness. Collaborates with technology, risk, audit, compliance, vendor management, and business teams to assess risks, improve workflows, track remediation, and communicate technical risks in business terms.

Leads Canadian Tire promotional strategy, planning, pricing and program performance across weekly promotions and major events. Owns promotional calendars, product and price selection, ROI, margin trade-offs, governance and AI-enabled optimization. Partners cross-functionally to advance customer value, loyalty, digital activation and price-value initiatives. Builds automation roadmaps, improves operating rhythms and develops a high-performing Promotions organization through coaching, accountability and continuous improvement.

Develop and improve machine learning and generative AI models for customer shopping missions, occasion generation, and transaction classification. Research modeling approaches, engineer prompts, evaluate model quality, design experiments, analyze customer behavior, and monitor performance. Translate retail problems into modeling objectives, collaborate with ML engineers to productionize solutions, and communicate technical decisions and limitations to business partners.

Lead information security governance, risk, and compliance initiatives; assess technology, process, vendor, and project risks; track vulnerability and configuration remediation; validate IT controls; maintain risk documentation; support policy exceptions; and provide metrics and reporting. The role partners with technology, audit, enterprise risk, vendor management, and business stakeholders to develop mitigation plans, improve risk processes, and mature vulnerability management.

Leads the transition, operation, and enhancement of a production ML and GenAI platform. Responsibilities include model development, feature engineering, inference, prompt architecture, evaluation, monitoring, drift management, guardrails, production controls, MLOps, LLMOps, and large-scale data processing. The role develops Python and PySpark solutions, improves platform reliability and cost efficiency, supports personalization use cases, and drives architectural refactoring while collaborating with technical and business stakeholders.

Drives organization-wide adoption of AI governance by partnering with practitioners, product teams, and business stakeholders. The role supports AI risk assessments and approval processes, leads training and enablement programs, develops governance tools and guidance, monitors adoption and maturity, and improves governance workflows. Success involves building responsible AI capabilities, increasing process adoption, and balancing governance requirements with innovation.

Leads enterprise disaster recovery exercises, develops and validates recovery plans and runbooks, and coordinates cross-functional testing against RTOs and RPOs. The role identifies recovery gaps, implements automation, maintains dashboards and performance metrics, tracks remediation, and delivers executive-ready reporting. It requires strong disaster recovery, business continuity, technology recovery planning, stakeholder leadership, project management, data analysis, and reporting expertise, along with ITIL and business continuity certifications.

Develop scalable business intelligence solutions across marketing, loyalty, merchandising, and promotional initiatives. Responsibilities include integrating enterprise data, building automated pipelines and analytical datasets, creating dimensional and semantic models, developing Power BI dashboards and DAX calculations, analyzing business performance, ensuring data quality, and communicating insights to stakeholders.

Analyze customer and financial data to identify trends, opportunities, and actionable insights. Deliver performance analytics for strategic initiatives and loyalty programs, create reports and visualizations, apply statistical techniques, and partner with data teams to improve reporting infrastructure. Support cross-functional decision-making through analytics expertise and clear storytelling, with a focus on customer retention, engagement, and loyalty performance.

Leads enterprise pricing, promotions, price-value transformation, print, distribution, and gift card strategies across retail businesses. Owns the True North Price/Value program, balances customer value with sales, margin, inventory, and costs, and partners with merchandising, analytics, marketing, finance, technology, and retail operations. Builds teams, establishes governance, drives enterprise change, advises senior leaders, and delivers scalable pricing and promotional capabilities.