Top Data Jobs in Ottawa

Drive strategic federal sales growth across DISA 4th Estate and Intelligence Community accounts. Responsibilities include pipeline development, account planning, opportunity and win strategy, stakeholder relationship development, acquisition navigation, RFI and solicitation support, CRM management, forecasting, and translating technology solutions into mission outcomes. The role requires expertise in long-cycle federal sales, procurement processes, secure environments, and technology solutions.

Lead CBC/Radio-Canada’s enterprise data governance program, including policies, data classification, catalogs, metadata, quality, lineage, compliance, and AI readiness. The role oversees governance councils, data stewards, executive reporting, literacy initiatives, and a small governance team. Responsibilities include partnering with Legal, InfoSec, engineering, analytics, and business stakeholders to establish consistent data management practices across a national, matrixed organization.

Drives adoption of the enterprise data governance framework across business and technology domains. The role deploys governance tools and policies, coordinates data teams and working groups, tracks roadmaps and milestones, supports data quality initiatives, maintains documentation, and develops dashboards and executive briefings. It also facilitates stakeholder education, workshops, communications, and action-item tracking while partnering with engineering and BI teams.

Leads advanced data analytics for Tribal healthcare initiatives, including data resource inventories, quality assessments, linkage analysis, predictive and prescriptive modeling, dashboards, and management reporting. Develops data standards, automation tools, and quality frameworks while ensuring federal compliance with FISMA, Section 508, and records management requirements. Coordinates cross-functional analytics projects, supports data infrastructure and sovereignty, mentors junior staff, and drives data-centric decision-making.

Lead enterprise client reporting and manage Proof’s data team. Own report accuracy, delivery, client relationships, data pipelines, shared models, BI tooling, and internal data insights. Coach team members, guide technical decisions, review SQL and data models, partner with Engineering and Product, resolve reconciliation issues, and improve automation. The role will establish data quality standards and help the company use trusted data to support growth, internal tools, and AI systems.

Sells new business and manages and expands client portfolios for CoStar’s commercial real estate data and analytics products. Responsibilities include prospecting, product demonstrations, consultative selling, closing, onboarding, training, renewals, account management, client meetings, and industry event representation. The role requires exceeding sales targets, building client relationships, and developing expertise in commercial real estate markets and CoStar products.

Research-focused internship for advanced PhD candidates to develop and evaluate neurosymbolic, knowledge representation, multimodal, and trustworthy AI methods. Duties include defining research questions, building prototypes and benchmarks, running rigorous experiments, collaborating with engineers and domain experts, and moving research toward production and publications.

Build and operate production machine learning systems for ranking, retrieval, recommendations, search, propensity, churn, LTV, and next-best-action decisioning. Design reliable signal contracts covering freshness, provenance, confidence, eligibility, and calibration. Lead feature pipelines, model serving, experimentation, monitoring, and feedback loops while evaluating fairness, risk, compliance, trust, and long-term customer impact. Collaborate across product, growth, data, platform, modeling, risk, and compliance teams.

Build and operate production machine learning systems for ranking, retrieval, recommendations, search, propensity, churn, lifecycle intelligence, and next-best-action decisioning. Design reliable signal contracts with freshness, provenance, confidence, and calibration guarantees. Lead experimentation, monitoring, feedback loops, and impact evaluation focused on fairness, trust, risk, compliance, and long-term engagement. Partner across product, growth, data, platform, modeling, risk, and compliance teams.

Own the vision, strategy, roadmap, development, commercialization, and lifecycle of commercial data products. Identify customer and market opportunities, translate needs into product requirements, and collaborate with data engineering, data science, analytics, software, sales, and marketing teams. Lead discovery, launches, monetization, adoption, optimization, and measurement of business outcomes across revenue, operations, customer experience, and decision-making.

Evaluate AI model outputs, audit data and model behavior, identify edge cases and failure modes, apply and improve evaluation guidelines, communicate performance trends, participate in calibration discussions, and document actionable findings. The role requires native-level Tamil, strong English and writing skills, critical judgment, attention to detail, and familiarity with GenAI safety considerations. This is a full-time, one-year, 100% onsite contract position.

Evaluate AI model outputs, conduct audit-based reviews, identify patterns and failure modes, apply and improve evaluation guidelines, and document actionable findings. The role requires native-level Marathi, strong English, structured writing, GenAI safety knowledge, critical thinking, and comfort making judgment calls in ambiguous situations. Associates collaborate with leads and stakeholders, participate in calibrations, and help refine quality standards. This is a full-time, one-year, 100% onsite contract role in specified U.S. cities.

Coordinate customer onboarding, training, support, and retention workflows. Follow up on customer issues, align Sales, Accounting, Software, integrations, and licensing teams, and drive commitments through resolution. Build and improve operational processes, track projects, dependencies, blockers, and next steps, identify improvement opportunities from feedback, and provide clear updates across teams.

Leads integration of two major financial data product launches into the AlphaSense platform. Defines zero-to-one product lifecycles, user stories, milestones, roadmaps, and PRDs; translates investment research workflows into data architectures; manages resources and delivery across teams; mentors product managers; validates solutions with customers and engineering; and drives competitive intelligence, prioritization, and cross-functional alignment.

Design, build, and support production data feeds and integration pipelines using Python, SQL Server, Snowflake, REST APIs, SFTP, Docker, and AWS ECS. Develop incremental-loading workflows, apply Data Vault modeling, troubleshoot end-to-end data pipelines, and implement validation, monitoring, logging, error handling, and retries. Collaborate with technical and business stakeholders while maintaining pipeline and operational documentation.

Lead the architecture and implementation of a Microsoft Fabric data platform, including migration from Azure Synapse, secure networking, near-real-time ingestion, data protection, and Medallion architecture. Design ingestion from Oracle and SQL Server systems, guide capacity and cost strategy, validate GCC High capabilities, mentor data engineers, review technical work, resolve complex challenges, and communicate architecture decisions to client stakeholders.

Annotate robot episodes, videos, images, and sensor data for robotics AI models. Label objects, actions, task steps, and outcomes; write behavioral descriptions; identify ambiguous cases; perform annotation quality checks; meet accuracy and throughput goals; and report tool or workflow issues to engineering. The role requires high attention to detail, strong written communication, sound judgment, and comfort working under deadlines and ambiguity.

Manages Clinical Data Science staff, client relationships, project delivery, budgets, quality, utilization, training, and regulatory readiness across clinical studies. Oversees clinical data science activities from project launch through closeout, supports audits and CAPAs, monitors data quality and risk, mentors team members, contributes to business development, and helps develop tools, SOPs, and processes for clinical data management.

Process and organize client records by sorting files, creating labels, and accurately entering high volumes of record numbers. Meet production targets of 120–150 files per hour while maintaining data accuracy, operational compliance, and deadlines. The role also requires physical warehouse work, including prolonged standing and lifting boxes weighing 30–90 pounds.

Reviews and evaluates clinical trial data within oncology studies, supporting data quality, consistency, and drug development objectives. Collaborates with clinical solutions and study teams to identify issues, apply therapeutic expertise, and help deliver reliable outcomes for life sciences customers.

Sell Salesforce Data solutions to Canadian federal government agencies in Ottawa. Responsibilities include developing territory plans, building pipeline, managing public-sector accounts, identifying expansion opportunities, explaining data solutions to business and technical stakeholders, collaborating with partners and internal teams, addressing client issues, and reporting business progress. The role requires extensive enterprise technology sales experience, preferably with data platforms and Canadian public-sector clients.

Design and maintain scalable backend, full-stack, and AWS data infrastructure supporting millions of daily events and hundreds of integrations. Set technical direction for data pipelines, lead architecture and planning, troubleshoot production issues, collaborate across teams, manage work in Jira, research improvements, and mentor engineers. The role owns initiatives end to end while developing reliable, cost-efficient serverless systems using Node.js, TypeScript, React, and AWS services.

CommBank is seeking Indigenous job seekers for various roles across its sectors, offering traineeships, internships, and direct employment opportunities with support from an Indigenous Careers team.

Define the architecture and technical direction of Coalition’s enterprise data platform. Build scalable Snowflake and dbt infrastructure, governed data models, batch and streaming pipelines, reusable data products, feature stores, semantic models, and AI data foundations. Establish standards for data quality, security, lineage, observability, and regulated workflows. Partner across engineering, product, underwriting, actuarial, security, and business teams while mentoring engineers and guiding cross-team architecture.

Owns Simbe’s product data management and Arena PLM administration for robotic hardware programs. Responsibilities include authoring and driving ECOs, MCOs, and deviations through approval; maintaining item masters, BOMs, approved vendor lists, part lifecycles, and documentation integrity; enforcing revision, numbering, and change-control standards; and coordinating implementation with Engineering, Operations, Supply Chain, suppliers, and contract manufacturers.