Top Tech Jobs & Startup Jobs in Toronto

Lead end-to-end machine learning and scorecard development for credit card acquisition, account management, and collections. Build, validate, deploy, and monitor predictive models; perform optimization and customer segmentation; and address scoring issues. Partner with business stakeholders and retail teams to translate needs into statistically sound solutions, communicate model results to senior management, and support responsible credit decisioning.

Supports procure-to-pay operations by applying vendor funding and billing knowledge, analyzing billing issues, resolving exceptions, identifying control and data gaps, and improving process consistency. Leads project plans involving requirements, testing, implementation readiness, risk tracking, stakeholder communication, documentation, and knowledge transfer. Partners with finance, procurement, merchandising, and vendors to improve billing accuracy, recoveries, reconciliations, and defect resolution.

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 enterprise promotional operations spanning print production, distribution, flyer planning, gift-card programs, supplier management, and cross-functional integration. The role aligns promotional calendars, marketing, merchandising, supply chain, store operations, finance, and digital communications while managing budgets, service standards, contingency planning, sourcing, and operational improvement. It also leads teams, develops leaders, supports strategic programs, and drives consistent execution across multiple retail banners.

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.

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.