Top Data Jobs in Ottawa

The Senior Director will lead AI transformation in procurement, creating research content, providing actionable insights, and mentoring team members. This role requires expertise in AI technologies, procurement processes, and collaborative engagement with clients and executive teams.

Designs and develops AI tools and machine-learning models, conducts research and testing, and integrates scalable solutions while translating complex data for executive stakeholders.

Lead a data engineering team responsible for customer integrations, ensuring quality, improving processes, and building data pipelines in a hands-on management role.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

The Account Executive will drive business growth by managing enterprise-level client relationships, generating revenue, and collaborating with channel partners, while maintaining customer engagement throughout the sales process.

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 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.

The Data Migration Specialist will manage end-to-end data migrations, ensuring data quality and effective communication with clients and internal teams while resolving challenges.

The Senior Product Manager will oversee integration of structured data into the AlphaSense platform, manage product lifecycle, and liaise between technical and user needs. Extensive experience in fintech or financial services required.

The Data & Analytics Engineer will manage the data infrastructure, owning pipelines, integrations, and ensuring data quality while collaborating with stakeholders to leverage data insights for decision-making.

Design and optimize data pipelines, lead machine learning feature integration, mentor junior engineers, and enforce data governance.

As a Data Analyst at Stripe, you'll build data products, metrics, and dashboards, analyze large datasets, and communicate insights to drive business decisions.

Design and build scalable distributed ingestion services; maintain event pipelines and collaborate with multiple teams. Ensure system reliability and improve code practices.

The Data Architect will lead data storage strategy and design across a multi-product SaaS platform, ensuring data architecture unification, optimizing data storage, and supporting AI initiatives while mentoring engineers for self-sufficiency.

In this role, you'll design and implement large-scale distributed data processing systems, creating robust data pipelines while ensuring scalability and security for processing billions in bookings.

The Staff Data Engineer will design large-scale data systems, create data pipelines, and implement performance optimizations using distributed systems and various technologies, while collaborating with a remote team.

As a Staff Data Engineer, you will design distributed data systems, build scalable data pipelines, and ensure performance optimization and data governance.

As a Staff Data Engineer at Cloudbeds, you will design and implement scalable data systems using various technologies, optimizing performance and ensuring data security while collaborating with cross-functional teams to drive innovation.

The Technical Data Analyst bridges Support and Engineering, ensuring high-quality products through data analysis, QA, and effective communication of technical concepts to stakeholders.

The role involves designing and implementing analytics strategies, managing tracking and reporting for ecommerce clients using GA4, GTM, SQL, and Python. The strategist collaborates with internal teams and clients, ensuring analytics support business decisions and measurement frameworks for omnichannel marketing.

Design and develop scalable data pipelines using PySpark and Databricks, focusing on data ingestion, transformation, validation, and performance optimization.

The Enterprise Data Architect will design and lead AmeriLife's data architecture, creating scalable data models and data mapping standards for analytics and AI workloads.

The Lead Data Engineer will design and build scalable data pipelines on Databricks, develop ETL/ELT pipelines with PySpark, and mentor engineering teams for data transformation and analytics.

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 and scale Google Marketing Platform capabilities while providing technical leadership, team development, commercial ownership, and fostering cross-functional collaboration to drive business growth.