Top Data Jobs in Toronto

As a Product Manager, you will develop customer-centric products leveraging technology, lead cross-functional teams, and define success metrics while fostering innovation and team culture.

Lead cross-functional execution for Telematics at Motive, managing programs from inception to delivery while collaborating with various teams and improving operational excellence.

The Senior Data Architect will design and implement data management frameworks, ensure data accessibility and security, and collaborate with cross-functional teams to enhance data quality and architecture.

Prepare and manage data, build ETL/ELT pipelines, and ensure data privacy and compliance for banking systems and related projects.

The Data Scientist will develop and deploy scalable ML models utilizing NLP to enhance security solutions, collaborating with cross-functional teams.

Lead a Data Engineering team to build Mastercard's global marketing data platform, focusing on data quality, governance, and developing scalable data solutions.

As a Principal Associate, Data Analyst, you will analyze databases, design data visualizations, ensure data quality, and collaborate with business partners on data-driven strategies.

The role focuses on consulting and configuring ServiceNow integrations and data architecture, ensuring integration projects succeed and meet customer objectives.

The Data Engineer will develop and manage data pipelines, collaborate cross-functionally, support project execution, and adhere to cloud governance practices in a hybrid work environment.

The Vice President of Data Science will lead strategic initiatives, manage a team of data scientists, and enhance data quality using AI, aligning business and data strategies with product goals.

The Senior Data Engineer develops data strategies, designs data pipelines, ensures data accuracy, and provides support for ML engineers. They collaborate across teams to enhance cybersecurity and mitigate vulnerabilities.

Lead engineering teams to enhance retailer experiences, oversee project management, ensure software quality, and foster technical excellence.

The VP of Insurer Sales leads and develops the sales team, drives growth, manages relationships with insurers, and influences product development.

As Director of Strategic Partnerships, you'll lead the partnership strategy, manage a team, build key relationships, and present performance updates to executives.

The Principal Data Scientist will lead analytics strategies, drive execution, mentor junior scientists, and innovate analytical practices for business decisions.

Lead and deliver advanced AI and machine learning solutions at Mastercard, defining strategy and driving execution in data science initiatives.

The Sr. Data Analyst will analyze payments data to detect fraud trends and provide actionable insights to enhance product performance, using SQL and data visualization tools.

Drive the evolution of scalable data systems at GitLab, architecting solutions that enhance data management for enterprise-scale growth.

The Enterprise Architect leads the development of AI and Data architecture, aligning technology with business needs while ensuring adherence to governance standards. They provide strategic guidance, collaborate with stakeholders, and utilize advanced technologies to enhance solutions and processes.

As a Senior Data Scientist at GPTZero, you'll analyze user behavior, build scalable data pipelines, and collaborate across teams to drive data-informed decisions for AI content integrity.

The Principal Technical Consultant specializes in data architecture, integrations, and provides technical guidance to clients to enhance ServiceNow platform outcomes through advanced integration solutions.

As a Senior Associate Data Analyst, you will build and maintain business reporting, perform data analysis, and ensure data integrity while collaborating with business partners.

Manage technical operations and delivery of digital marketing products across regions, ensuring platform performance, integration, and support for marketing teams.

As a Data Engineer II at Braze, you'll develop and maintain data pipelines, work with stakeholders to understand requirements, and ensure data quality and reliability.

As a Senior Data Scientist, you'll analyze large datasets, develop models, improve underwriting processes, and collaborate across teams to drive impactful credit strategies.