Top Tech Jobs & Startup Jobs in Toronto

The Senior Consultant will lead the adoption of data governance in the Global WAM segment by implementing frameworks, facilitating stakeholder engagement, and overseeing data quality initiatives.

As a Data Scientist, you will develop AI products, manage data operations, and design pipelines while collaborating with various engineering teams to enhance trust and performance in GenAI systems.

Lead project management for Treasury Operations, ensuring milestones are met, risks are mitigated, and stakeholder engagement is maintained. Collaborate on technology enhancements and optimize processes while focusing on continuous improvement and operational readiness.

The Senior AI Engineer will develop and deploy AI solutions, improve operational efficiency, and ensure production-grade AI services for Long-Term Care. Responsibilities include building ML pipelines, monitoring models, collaborating with teams, and ensuring compliance and governance.

The Strategic Marketing Manager will develop and implement go-to-market plans for high-net-worth advisors in the insurance sector, including market analysis, campaign development, relationship building, and brand management.

As a Senior AI Full-Stack Engineer, you'll design and build AI-driven cloud-native applications, integration of AI frameworks, and define architectural patterns, ensuring solutions meet high standards for security and compliance.

The Senior Business Systems Analyst will enhance workflows and business processes, analyze data to create solutions, coordinate implementation, and translate requirements into actionable specifications.

The Engineering Manager leads and coaches full-stack engineering teams, provides technical direction, and ensures delivery of scalable solutions while fostering collaboration and growth among team members.

The Operations Support Engineer ensures high availability of applications by providing L2/L3 support, monitoring Azure environments, troubleshooting issues, and enhancing system reliability through collaboration and automation.

Lead Agile delivery across multiple teams, coach stakeholders, manage program risks and dependencies, and enhance delivery using metrics.