Top Data Jobs in Toronto

Leads and develops an enterprise sales team responsible for strategic seller acquisition, pipeline generation, complex deal execution, forecasting, revenue growth, and repeatable upmarket sales motions. Partners cross-functionally with product, solutions engineering, legal, finance, marketing, partnerships, implementation, and customer success. Coaches enterprise account executives, manages strategic opportunities, improves deal quality, and uses market insight to influence product, pricing, and go-to-market strategy.

Leads and develops an enterprise sales team responsible for strategic seller acquisition, pipeline generation, complex deal execution, forecasting, and revenue outcomes. Builds repeatable sales motions, coaches Enterprise Account Executives, manages territory and account strategies, leads high-value negotiations, and partners cross-functionally with product, legal, finance, marketing, implementation, and customer success teams. Uses market insight to influence product, pricing, partnerships, and go-to-market strategy.

Design and build highly scalable cloud-native microservices, RESTful APIs, and distributed systems for Morningstar’s data delivery platform. Translate business requirements into technical solutions, contribute to architecture and modernization, champion testing, observability, CI/CD, and operational excellence, resolve production issues, evaluate emerging technologies including generative AI, and mentor engineers across agile teams.

Lead measurement, monitoring, and diagnostic reporting for AI-powered personalization models. Build scalable data pipelines in GCP and BigQuery, develop automated alerts, support A/B testing, and create Tableau visualizations. Evaluate recommender systems and propensity models using statistical and predictive analytics, integrate insights into AI products, and communicate findings to technical and non-technical stakeholders while mentoring junior team members.

Own and scale BuildOps’ customer-facing data platform, including CDC ingestion into Snowflake, dbt modeling, near-real-time pipelines, secure data sharing, platform observability, Terraform infrastructure, and warehouse optimization. Participate in on-call incident response, support internal teams, manage governance and access, and contribute through architecture decisions, documentation, code reviews, and mentorship.

Own the strategy and roadmap for data interface products that help marketers transform and activate data without custom development. Partner with engineering, design, peer product managers, and customer-facing teams to build self-service tools, including centralized segmentation. Lead discovery, define requirements, measure adoption and accuracy, and advocate for customer-friendly experiences.

Engage with customers to sell Salesforce Customer 360, build relationships, develop account strategies, and drive growth within assigned accounts.

Build Power BI reports, dashboards, semantic models, and Microsoft Fabric data pipelines for client engagements. Translate business needs into technical requirements, integrate APIs and business applications, establish governed data foundations, and support AI readiness. Conduct Fabric assessments, configure security and governance, deliver training, document solutions, review partner work, support demos, and identify follow-on opportunities. The role requires customer-facing communication, analytical problem-solving, and occasional travel.

Supports global Product and Material master data governance within SAP S/4HANA. Configures SAP MDG and SimpleMDG data models, workflows, business rules, validations, and integrations; monitors data quality and integration failures; performs root cause analysis; evaluates ABAP-related logic, SAP tables, CDS views, and custom developments; and collaborates with technical and business teams on system changes, upgrades, and digital transformation initiatives.

Develop secure integrations enabling AI agents and applications to access exchange market data. Build backend services and APIs using Python, Java, or comparable technologies; implement authentication, authorization, identity management, licensing, entitlements, and usage controls. Apply market-data distribution expertise and AI integration patterns such as LLMs, agentic AI, and MCP while collaborating with financial institutions and technology stakeholders.

Develop and execute technology procurement and strategic sourcing strategies, lead RFx processes, negotiate contracts, manage supplier relationships, and mitigate vendor and regulatory risk. The role covers market research, category strategy, financial analysis, contract lifecycle management, stakeholder collaboration, and executive presentations. Candidates need substantial procurement experience, technology sourcing expertise, strong negotiation and analytical skills, and familiarity with sourcing, contract, and third-party risk tools.

Lead and develop five experienced analysts and data scientists while personally owning analytics across ecommerce, health, and supply chain. Partner with executives, establish KPI and reporting standards, prioritize the analytics roadmap, deliver strategic insights, and advance AI-native self-service analytics tools. The role combines people leadership, hands-on analysis, data governance, and business strategy in a remote-first environment.

Own and evolve a portable data platform infrastructure across commercial cloud, government cloud, and on-premises environments. Responsibilities include infrastructure as code, security and compliance, observability, SLOs, incident response, capacity planning, backups, upgrades, deployment tooling, and runbooks. The role will establish SRE practices, support regulated customer deployments, collaborate with distributed systems engineers, and mentor a future SRE hire.

Own Treasury’s data architecture and technical roadmap, personally building and operating a Snowflake liquidity datamart with source integrations, data models, reconciliation, controls, and data contracts. Partner with machine learning engineers on forecasting datasets and lead the Treasury Management System build-versus-buy recommendation. The role requires production reliability, automation, incident response, stakeholder management, and translating ambiguous financial business problems into adopted systems.

Own Treasury’s data architecture and hands-on development of a Snowflake liquidity datamart. Build integrations, data models, reconciliation logic, data quality controls, forecasting datasets, and production pipelines. Partner with Treasury, Accounting, and machine learning engineers; lead Treasury Management System build-versus-buy recommendations; and operate reliable, controlled data systems through adoption. The role also includes automation, monitoring, incident response, and reducing manual reconciliation and investigation.

Own the product vision, roadmap, KPIs, and business outcomes for software products. Conduct customer discovery, translate insights into priorities, collaborate with technology, data, strategy, and design teams, and guide technical tradeoffs. Build stakeholder alignment, deliver customer-focused experiences, and use quantitative and qualitative analysis to refine product direction. The role requires at least three years of software product management experience and successful software product delivery.

Design, build, and operate shared backend platforms and frameworks for data acquisition, processing, and access. Lead projects from architecture through production, develop event-driven and batch or streaming systems, and improve reliability, observability, scalability, and data quality. Collaborate with software engineers, data engineers, and data scientists, make architectural trade-offs, mentor engineers, and contribute to technical standards. The role may also involve external data integrations and analytics and machine-learning data systems.

Owns credit policy development and governance for Square Financial Services, including underwriting strategy, policy experimentation, portfolio monitoring, regulatory documentation, and risk reporting. Designs rigorous champion-challenger tests, randomized holdouts, and staged rollouts while balancing growth, losses, profitability, fair lending, and bank oversight requirements. Partners with Risk, Compliance, Internal Audit, and senior leadership to scale credit products responsibly.

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.

Leads a software engineering team responsible for vehicle data platform components across Android, Linux, and QNX. Oversees hiring, architecture, delivery, testing, releases, field support, reliability, telemetry, incident response, and technical direction. Partners with cloud, cybersecurity, privacy, platform, and application teams to deliver scalable software on resource-constrained vehicle ECUs and manage data flows to the cloud.

Lead technical direction for a unified vehicle data platform spanning control planes, data planes, SDKs, logging, and fleet management. Design and maintain production software for Android, Linux, and QNX ECUs, optimize constrained resources, integrate cloud services, and establish reliability, observability, privacy, and security standards. Lead cross-organizational initiatives, production incident response, roadmap development, open-source contributions, and mentorship of engineers.

Develop and maintain vehicle data platform software across control plane, data plane, logging, SDK, and cloud integrations. Deliver production software for Android, Linux, and QNX ECUs with constrained resources, optimize connectivity and performance, implement testing and observability, troubleshoot field issues, collaborate across technical teams, contribute to open source, and mentor junior engineers.

Design, build, and operate Java/Spring Boot backend services supporting vehicle configuration, campaign delivery, remote device management, and OTA workflows at global scale. Lead API security hardening, legacy endpoint retirement, service communication architecture, observability, technology modernization, and technical debt reduction. Integrate agent-assisted development tools into engineering workflows and mentor engineers on backend design, service ownership, and operational excellence.

Build and operate scalable vehicle data pipelines, workflows, monitoring, dashboards, alerts, and observability solutions. Investigate data quality and operational issues across vehicle campaigns, software packages, populations, and lifecycle systems. Define requirements, metrics, testing, governance, lineage, and support processes while improving reliability, performance, scalability, and cost. Collaborate across engineering and program teams, communicate technical findings, establish best practices, and mentor others.

Develop and execute automated end-to-end testing for connected vehicle data and control-plane systems spanning embedded components, physical test assets, cloud infrastructure, and analytics platforms. Perform HIL and SIL testing, integration and performance validation, data integrity checks, observability, defect triage, and root-cause analysis. Build CI/CD-integrated regression suites, collaborate with embedded and cloud engineering teams, and document test frameworks, results, and performance standards.