Top Data Jobs in Toronto

The Product Manager will lead growth initiatives, collaborate across teams, measure success metrics, and enhance experiences using data-driven insights.

The Data Analyst will analyze large datasets, develop reports, and collaborate with various teams to improve player engagement and experience.

Lead platform strategy initiatives at Autodesk, focusing on multi-year strategies, pricing, developer ecosystem, M&A evaluation, and stakeholder engagement.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

The Director will lead AI data integration, oversee product lifecycle, ensure data governance, drive product market fit, and manage cross-functional teams. Responsible for scaling AI solutions and ensuring compliance.

The Data Engineer will design and maintain data infrastructure and scalable platforms for data processing, collaborating with AI engineers and scientists to support advanced analytics.

The role involves developing optimization models for collateral management, enhancing existing frameworks, and collaborating with trading desks to optimize capital efficiency.

The Manager, Data Science will build data infrastructure and analytics for model development and operational processes, applying statistical methods for financial decision-making and risk management, while collaborating with teams on insights and solutions.

Lead data governance practices in Wealth Management by driving data quality, collaborating with stakeholders, and supporting analytics efforts.

Lead development of advanced ML/AI solutions: design large-scale data pipelines, build and deploy ML/deep learning and LLM models, collaborate with product and analytics teams, deliver data-driven recommendations, and scale MLOps processes.

The Senior Data Scientist will support Canadian business units by applying advanced analytics, developing GenAI solutions, and collaborating on data science projects to drive value.

The BI Senior Business Analyst gathers and documents requirements, supports BI projects, and coaches team members in collaboration with various stakeholders.

The Lead Financial Data Analyst manages financial instrument data collection, quality control, client inquiries, and operational risk compliance, while coaching others and improving processes.

The Senior Data Scientist at eBay will develop predictive models, conduct custom analytics, and partner with product teams to drive data-driven decisions in the Global Collectibles Product unit.

Lead delivery of Customer Data & AI projects: define architectures, collaborate with cross-functional teams, manage technical execution, set KPIs, support proposals, and ensure client alignment while integrating responsible AI practices.

The Product Specialist drives market success for Workday's products, engaging executives in sales strategy and adoption of AI platform technologies. Responsibilities include managing sales cycles, driving demand, and cultivating partner relationships.

Design and architect scalable file and object storage solutions. Lead workshops and POCs, collaborate with product management, and provide competitive insights.

Build and maintain Carta's Customer Data Warehouse and self-service data experiences: design fault-tolerant (often real-time) data pipelines, implement role-based data access, leverage AI to improve product and ops, and mentor junior engineers while working closely with product, data, and customers.

Lead design and delivery of end-to-end AI solutions (especially NLP/LLM) from exploration through deployment and monitoring. Translate stakeholder needs to technical solutions in AWS, mentor junior staff, enforce data science best practices, and use analytics to identify risks, opportunities, and improvements.

The Product Analyst will analyze data to uncover trends, track metrics, build dashboards, and collaborate with various teams to drive data-informed decisions.

Lead the Product function for data developer experience teams, improve tools, track metrics, and collaborate with cross-functional teams to innovate in data application.

This role involves bridging business and technical teams, managing BI tools, optimizing data workflows, and ensuring reliable reporting practices.

Lead and scale enterprise-wide data and analytics: build and coach teams, design data architecture and governance, deliver dashboards and AI/ML solutions, partner with senior stakeholders, and embed analytics into business workflows to drive measurable outcomes.

Oversees data management, ensures quality and security, implements cloud architecture, and builds data pipelines while collaborating with stakeholders.

Manage a diverse team in the development of data and AI products, collaborating with stakeholders to translate business needs, optimize processes, and ensure technical direction.