Top Data Jobs in Toronto

The Director, People Business Partner will enhance organizational effectiveness, talent management, leadership support, and people strategies using AI and data to improve outcomes and performance.

The Senior Marketing Analytics Lead will oversee analytics projects, translate data into insights, influence marketing strategies, and mentor junior team members.

As a Product Manager, you'll lead product vision and strategy, utilizing customer insights and technology to create innovative solutions while collaborating with multiple teams.

Lead digital transformation initiatives, enhance commercial strategy, manage technology portfolios, and drive operational excellence in marketing and sales.

Support transaction and sanctions monitoring programs by tuning alerts, designing analytical features, and optimizing data analysis processes to prevent financial crime.

This role involves collaborating with clients to define use cases, implement data integrations, improve ML architecture, and ensure customer success in using BrazeAI.

Design, develop, and optimize Databricks-based ETL/ELT pipelines using Python and PySpark. Build scalable data workflows with Apache Airflow, implement CI/CD via GitHub Actions, manage Databricks workspace and Unity Catalog, ensure data governance and observability (Datadog), and collaborate with data scientists and platform engineers.

The Data Scientist will solve challenges in manufacturing operations using data science, machine learning, and computer vision. Responsibilities include deploying ML and AI initiatives and analyzing data to improve processes.

Lead client-facing data solutioning and pre-sales within Consumer verticals, design and translate architectures into delivery, maintain ~50% billable involvement, drive pipeline growth and close complex data opportunities while ensuring information security and privacy compliance.

Own, build, and optimize Spark-based production data pipelines and ML data lake on GCP Dataproc to support recommender systems. Collaborate with ML engineers, resolve performance bottlenecks, and deliver scalable, reliable data products for AI-driven personalization.

Design and implement data architectures for wealth and asset management. Collaborate with stakeholders to create scalable data solutions and ensure compliance with regulations.

The Senior Data Engineer will design and maintain streaming data pipelines, develop analytical databases, and ensure data system reliability while collaborating with teams across the organization.

The Data Center Technician is responsible for installing, maintaining, and troubleshooting optical transport in data centers, ensuring quality and customer satisfaction while managing technical documentation and audits.

As Senior Product Manager, you'll manage the product roadmap, engaging with healthcare professionals and driving cross-functional execution in a high-growth tech environment.

The DCIM Administrator manages data center operations by overseeing Nlyte workflows, ensuring accuracy in asset management, and driving continuous improvement in process and data integrity.

Lead the development of AI and machine learning solutions at Mastercard, defining strategy and mentoring teams while ensuring compliance and enhancing consumer experiences.

This role involves developing sourcing strategies, managing vendor relationships, conducting market research, negotiating contracts, and ensuring compliance within a fast-paced and regulated procurement environment.

Lead the G&A data product management, establishing strategy and execution for finance, HR, and IT data products while managing stakeholder relationships and ensuring quality governance.

Design and build scalable data systems and pipelines, migrate legacy systems, ensure data governance, and collaborate with cross-functional teams to enhance data accessibility and reliability.

The Data Engineer will develop and maintain data pipelines, ensure data quality, and collaborate with business teams to implement insightful data solutions.

The Senior Software Engineer will manage data systems, develop scalable pipelines, ensure data security, and build self-service applications for users at Coinbase.

The Product Manager will lead the identity platform, focusing on improving data quality, performance, and business outcomes through cross-functional collaboration and effective communication.

As a Site Reliability Engineer for Data Services at iManage, you will ensure data durability, optimize performance, manage upgrades, and collaborate across teams, focusing on reliability and sustainability in cloud-native environments.

As a Senior Associate, Data Analyst at Capital One, you will analyze datasets to support business strategies, communicate insights, and enhance decision-making through data visualization and stakeholder collaboration.

The Product Manager for Data Products at Capital One will drive the design and operationalization of data products, prioritizing long-term roadmaps, defining metrics-driven strategies, and collaborating across teams to enhance customer experiences.