Top Data Jobs in Ottawa

The Director of Supply Chain Data Solutions will oversee data strategies to optimize supply chain processes, implement AI solutions, and ensure data governance, all while leading a team and collaborating with cross-functional partners.

Design and automate data pipelines, optimize data models, and ensure data integrity while collaborating with analysts and scientists. Requires 5+ years of experience in data engineering.

The Associate Data Scientist will focus on data privacy and de-identification, assisting with client engagements and data analysis while developing expertise in regulatory standards.

The Staff Software Engineer will lead the development of backend services and data pipelines for real estate MLS data, mentor teams, and work on AI integration.

The Engagement Manager establishes partnerships with Canadian customers, enhances their use of Databricks, ensures satisfaction, manages engagements, and collaborates across teams to drive success.

The Head of Partnerships at Stardog will build and scale the global partner ecosystem, driving significant revenue through partnerships and executing strategies in complex enterprise deals.

The Data Analyst will oversee data research projects, implement data reporting best practices, analyze marketing campaign effectiveness, and provide insights to drive growth for Canadian digital identity.

Lead the Orchestration Services team, overseeing data management and engineering projects while fostering team development and collaboration. Drive technical decisions and multi-year roadmaps for new products.

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

The Data Product Specialist maintains product data attributes in ERP systems, manages item creation processes, analyzes data for accuracy, and ensures compliance with pricing and reporting standards.

Lead the design and scaling of Serve's robotics data infrastructure, managing the lifecycle of data and mentoring engineers to enable real-time analytics and operations.

This role involves deploying solutions for clients, managing data compliance, and providing feedback for product improvement. Requires collaboration with teams and clients.

As a Data Scientist, you'll design and improve credit risk models, analyze complex data, and provide actionable insights for risk management and decision-making.

The Data Analyst will support technology teams in a data migration and visualization project using Excel and Amazon QuickSight. Duties include reviewing requirements, preparing data sets, and refining visualizations.

The ML Data Engineer will build and optimize data pipelines and feature engineering systems for machine learning, collaborating with data scientists and engineers.

The Container Optimization Marketing Manager will strategize and execute marketing initiatives to drive growth and pipeline for DoiT's Kubernetes solutions, ensuring competitive market positioning and measurable revenue impact.

The Associate Director of Data & AI will lead transformation programs, drive business value through AI strategies, and oversee modern data platform delivery for major enterprises.

Lead the development and execution of platform strategy initiatives, focusing on M&A opportunities, pricing strategies, and cross-functional collaboration to enhance Autodesk's platform offerings.

The Data Analytics and AI Architect will define and advance the organization's data and AI architecture, ensuring alignment with business strategy. Responsibilities include designing architectures, researching technologies, and managing compliance.

Lead the design and development of scalable data acquisition systems, architect core components, and mentor engineers while collaborating across teams to fulfill data integration needs.

As a Software Engineer 2 - Data Acquisition, you'll design and build data ingestion pipelines, ensuring quality and performance across multiple data domains while participating in code reviews and collaborating with data consumers.

As a Software Engineer, Data, you will develop scalable data infrastructure and pipelines using GCP, mentor junior engineers, and optimize data processes.

The Google Cloud Data Engineer will design, build, and improve partner-facing web portals, contribute to the full software development lifecycle, and collaborate with cross-functional teams for high-quality software delivery.

Design and build data architectures, oversee ETL/ELT pipelines, collaborate with stakeholders to optimize data usage, and implement data quality frameworks.

The Principal Clinical Data Science Lead will oversee data science methodologies in clinical research, manage teams, and ensure data insights support clinical development.