Top Tech Jobs & Startup Jobs in Montreal

Owns the lifecycle of international data products from business requirements through engineering delivery, release, and production monitoring. The role investigates data issues using SQL and Python, validates data quality, defines acceptance criteria, manages requirements and traceability, and translates findings into actionable business insights. It partners closely with stakeholders and data engineering teams to resolve incidents, improve data trust, and establish monitoring and stewardship practices.

Owns and expands strategic Energy and Infrastructure client relationships, driving account growth through consultative selling, solutioning, and cross-sell opportunities. Provides energy-sector leadership across generation, transmission, utilities, and LNG. Leads large engagements from solution definition through delivery while partnering with sales, consulting, technology, and delivery teams. Develops reusable offerings, practice capabilities, thought leadership, and go-to-market strategies for the portfolio.

Owns strategy, roadmap, requirements, backlog, and delivery for an AI data product. Coordinates cross-functional teams, manages timelines and risks, supports application administration and quality assurance, resolves user issues, and gathers stakeholder feedback to drive product improvements and engagement.

Oversee global sports league marketing projects from initiation through completion. Develop project plans, schedules, budgets, and resource strategies; coordinate cross-functional teams, agencies, vendors, sponsors, and stakeholders; manage risks and campaign execution; track performance and expenditures; and drive continuous process improvement. Ensure marketing initiatives meet timelines, brand standards, legal requirements, and strategic objectives while communicating progress and outcomes to leadership.

Coordinate intake, access management, governance, and issue escalation across the organization’s MarTech platforms. Track service-level agreements, request status, adoption, usage, and open issues; maintain governance records and standards; support access recertification, governance forums, UAT, release tracking, and stakeholder communications. The role partners with Product Management, Solutions Architecture, and MarTech Strategy teams to improve operational consistency, transparency, and platform scalability.

Leads end-to-end machine learning delivery for insurance transformation programs, including feature engineering, model development, validation, tuning, explainability, governance, and production readiness. Translates business objectives into analytics use cases and delivery plans, manages client relationships, coordinates distributed teams, and supports architecture, UAT, MLOps, monitoring, and deployment discussions. Requires strong Python, statistical modeling, SQL, large-scale data, stakeholder communication, and production ML experience.