Top Tech Jobs & Startup Jobs in Toronto

Lead requirements discovery and translate business objectives into user stories, data requirements, source-to-target mappings, and acceptance criteria. Partner with Product Owner, data engineering, technology and stakeholders to prioritize backlog, support Agile ceremonies, validate deliveries, and enable reporting, analytics and AI-enabled solutions while maintaining risk, compliance and operational readiness.

Support reconciliations, investigate exceptions, manage feeder tolerance tables and handshake reports, prepare journal entries and wires, provide audit support, maintain controls, and drive process improvements and automation within Investment Solutions accounting.

Recruit, onboard, train and coach new financial advisors (first four years) to build holistic insurance and wealth practices. Source candidates, support licensing and business planning, deliver training, monitor performance and compliance, escalate complaints, and drive recruiting and production metrics while fostering district culture and community presence.

Serve as a Business Systems Consultant on an Agile MarTech team: elicit and translate business needs into requirements, epics, and user stories; collaborate with product, development, QA, architecture and vendors; support deployments, production issues, and continuous improvement while centering client experience.

Manage Canadian and international tax reporting and compliance for Sun Life's international operations, including FAPI calculations, maintaining foreign affiliate tax attributes (ACB, surplus), excluded property analysis, tax research, responses to tax authorities, supporting global tax strategy, coordinating outsourcing and junior staff, and ensuring compliance for specified Canadian entities.

Lead requirement discovery and translate business objectives into epics, user stories, data requirements and backlog items. Support Agile ceremonies, partner with Product Owner, drive risk-based analysis, data validation, process improvements, testing and rollout, and liaise with stakeholders, vendors and technology teams to deliver compliant, operationally ready solutions.

Lead the MLOps team focused on AWS cloud services and machine learning operations, design production-grade capabilities, and mentor other engineers.

Lead product ownership and hands-on data analysis for investment data products. Translate business needs into user stories, drive backlog prioritization, perform data profiling/reconciliation, support data governance, and collaborate with engineers to design scalable data models and solutions that improve decision-making and operational efficiency.

Provide high-level executive support to a senior global leader: manage complex global calendars and high-volume inboxes, coordinate extensive international travel and contingency plans, liaise with internal and external stakeholders, prepare meeting briefs, and provide in-office support in Toronto ~3 days/week. Must excel in fast-paced, ambiguous environments, rapidly reprioritize, exercise discretion, and maintain composure under pressure.

Build and deploy ML and generative AI solutions for cybersecurity: design RAG and multi-agent architectures, fine-tune models (LoRA/QLoRA), manage LLM serving and vector databases, create ETL/data pipelines, implement evaluation and guardrails, run A/B tests, develop anomaly detection and dashboards, and collaborate with stakeholders to turn security use cases into production AI systems.