Top Data Jobs in Ottawa

Lead and coordinate client legacy data integration into TELUS Health systems. Oversee conversion tasks, ensure data quality, run workshops, identify gaps, propose process changes, escalate issues, prioritize conversion work, and report progress and risks to project management.

Lead and scale Scribd's Data & Analytics organization across Product Analytics, Data Science, and Analytics Engineering. Build operating model, data governance, experimentation frameworks, AI-native workflows, and infrastructure to accelerate insight delivery. Develop director-level leaders, recruit talent, and embed data-driven decision-making at the executive level to drive growth, retention, and portfolio-wide strategy.

Lead AI engineering on the Data Platform: build Databricks Apps deployment paths, construct an AI layer over the Medallion Architecture and semantic layer, enable LLM/NLP systems and agentic workflows, embed AI tooling in the developer lifecycle, enforce guardrails for production safety, define metadata/modeling patterns, and mentor engineers to accelerate AI adoption.

The Staff Data Product Manager will unify data architecture, lead product strategy for AI-powered data products, and ensure rapid delivery of innovative solutions for real estate agents. This role emphasizes data product management, AI capabilities, and deep understanding of real estate data compliance.

The Senior Data Engineer designs and supports databases for an IVR platform, ensuring performance and scalability while collaborating with multiple teams on data availability and integrity.

Design, build, and maintain scalable batch and streaming data pipelines and domain-oriented data models using dbt and cloud warehouses. Ensure data quality, documentation, and usability for analytics, ML, and reporting while collaborating with Product, Analytics, and ML teams.

Design, build, and maintain robust terabyte-scale data pipelines and stream-processing applications. Collaborate with product teams, participate in full SDLC, automate tests and deployments, monitor operations, and contribute to technical strategy and continuous improvement. Participate in on-call rotation.

The Senior Data Platform Engineer will manage and develop the data infrastructure on Databricks and AWS, ensuring scalable and efficient data capabilities while collaborating across teams.

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.

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

The role involves defining and executing the marketing strategy for Stripe's Tax and Data products, leading a team, communicating cross-functionally, and using data insights to drive growth.

Wayvia is building a talent pipeline for engineering roles focusing on backend systems, data pipelines, and product engineering. They seek curious and collaborative engineers to connect with and solve future challenges.

Embed with a core business unit to define problems, build metrics, run analyses and experiments, surface insights, and drive data-backed recommendations end-to-end to improve product, growth, AI/automation, or partnerships.

Embedded in a core business area, own end-to-end analytics: define problems, build metrics and reports, run analyses and experiments, surface insights, and drive data-informed recommendations to improve product, growth, AI, and partnership outcomes.

Embedded on a core business team, own end-to-end analytics: define problems, build metrics and reports, run analyses and experiments, surface insights, and drive data-informed decisions with stakeholders to improve product, growth, AI/automation, or partnerships.

Own the analytics function embedded in a business unit: define problems, build metrics and reports, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end to impact growth, product, AI/automation, or partnerships.

Embedded on a core business team, you will define analytical problems, build metrics/reports, run analyses and experiments, surface insights, and drive data-informed recommendations end-to-end to improve product, growth, AI, or partnerships.

Embedded on a core business team, the Data Scientist will define problems, build metrics/reports, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end across growth, product, AI/automation, or partnerships.

Embed with a core business unit to define analytical problems, build metrics/reports, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end to impact growth, product, AI, or partnerships.

Lead embedded data science for a core business area (growth, product, AI/automation, or partnerships). Define problems, build metrics and analyses, run experiments, surface insights, make recommendations, and drive execution cross-functionally to improve key business metrics.

The Junior Data Scientist will design and develop data models using Machine Learning and Analytics for trading and compliance in finance.

The role involves designing scalable data pipelines for 3D, video, and sensor data, optimizing infrastructure, and productionizing ML models with researchers.

As a Growth Data Engineer, you will build and manage marketing data and attribution systems, ensuring reliable data flow and accurate measurement of acquisition efforts. The role involves collaboration across product, marketing, and data teams with a focus on optimizing campaign performance.

The Founding Data Engineer will design and build OpenArt's core data platform, ensuring data reliability, consistency, and scalability to support leadership and product metrics.

As a Data Analyst at Coframe, you will respond to customer data requests, build reports, resolve data discrepancies, and automate processes.