Top Tech Jobs & Startup Jobs in Toronto

Manages corporate risk and insurance programs, including risk analysis, loss prevention, claims oversight, litigation claims, policy renewals, broker and insurer relationships, contract reviews, and insurance due diligence. Leads reporting to the Audit Committee and Board, evaluates coverage and emerging risks, supports product compliance, manages claims accounting, and mentors team members.

Conduct advanced competitive pricing and market intelligence analysis across multiple retail banners. Build scalable analytical workflows, dashboards, and standardized reports using complex datasets and tools such as Power BI, SQL, and KNIME. Translate pricing data into actionable insights for strategy, regional decisions, and executive leadership. Ensure data accuracy, investigate quality issues with internal teams and vendors, define business logic, and recommend improvements while collaborating with pricing, merchandising, and cross-functional stakeholders.

Manage strategic Lighthouse workstreams from planning through execution, coordinating stakeholders, timelines, risks, dependencies, and performance tracking. Develop customer-centric strategies, business recommendations, analyses, business cases, and executive-ready presentations using customer research, market intelligence, competitive insights, and performance data. Partner cross-functionally with merchandising, marketing, digital, loyalty, and store operations teams to drive alignment, evaluate opportunities, track outcomes, and identify continuous improvement opportunities.

Supports digital content authoring, campaign builds, testing, deployment, SEO optimization, and website quality assurance across multiple digital properties. Manages CMS updates, accessibility and brand standards, workback schedules, standard operating procedures, online restrictions requests, and personalization activities. Collaborates with IT, Creative, product owners, and cross-functional teams while performing HTML/CSS updates and using AI and automation tools.

Design and deliver analytical measurement frameworks, causal inference and experimental designs, and predictive/statistical models for retail, loyalty, and marketing analytics. Build and validate tests, analyze large datasets, collaborate cross-functionally, and communicate insights to improve customer engagement and program performance.

Research and evaluate new ML/AI tools, build and deploy predictive models, create benchmarks and automation, perform quantitative and ad-hoc analyses on credit portfolio, and communicate results and recommendations to business partners and senior leadership.

Owns governance and reliability outcomes for enterprise compute platforms, including IBM Mainframe, AIX, IBM iSeries, monitoring, storage, and backup services. Leads platform lifecycle and modernization roadmaps, observability governance, disaster recovery readiness, vendor performance, operational controls, incident escalations, risk management, and continuous improvement. The role provides strategic technical direction and accountability across outsourced service providers while promoting SRE principles, automation, resiliency, platform sustainability, and operational excellence.

Design, operate, and improve enterprise AI and MLOps platforms supporting machine learning models, generative AI solutions, and AI agents. Build automation and CI/CD pipelines, implement monitoring and observability, manage model and agent lifecycles, and support governance, security, scalability, and reliability. Collaborate with data scientists, engineers, architects, and IT teams to operationalize AI solutions, evaluate emerging technologies, and establish reusable platform standards and best practices.

The Replenishment Analyst manages inventory replenishment, collaborates with various teams, and analyzes data to optimize supply chain operations.

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.