Top Data Management Jobs in Montreal

Lead and develop a team of analysts, manage analytics projects, establish methodologies, and enhance reporting and automation processes.

Lead the integration and management of training data, ensure compliance, drive actionable analytics, and enhance program performance through data insights.

The Senior Manager leads the design and implementation of data governance frameworks and practices, ensuring data consistency, compliance, and quality. This role includes engaging with stakeholders, driving data ownership accountability, and supporting data literacy initiatives. The manager will mentor teams, define data quality measures, and collaborate with technology partners for effective data management.

Lead a team of data engineers and analysts, define the data engineering roadmap, oversee data infrastructure, ensure analytics delivery, and establish data governance standards.

Lead enterprise Data & AI transformation initiatives, managing the delivery of cloud-based analytics platforms while aligning business and technology objectives. Responsibilities include program governance, stakeholder management, and overseeing implementations of Microsoft Fabric.

Lead the Data Modeling team, focusing on the development of reusable core data models and metrics. Collaborate with various teams to ensure data quality and reliability in analytics and AI/ML. Hands-on role requiring experience in data modeling, SQL, Python, and Spark.

Lead strategic data evolution for Fund Administration clients, building dashboards, managing stakeholders, and translating business needs into actionable insights.

Lead and manage Data Engineering teams for platform and product outcomes, overseeing data migrations, team development, and technical leadership.

The Data Product Manager defines the reporting roadmap, manages KPI alignment, collaborates cross-functionally, ensures data quality, and leads continuous improvement in analytics processes.

The Data Implementation Manager leads a team for configuring and optimizing an AI-driven platform, overseeing onboarding, integration, and technical solution delivery for customers.