Senior Product Manager – Data Services

Role overview

Product strategy and discovery

• Own defined application roadmaps and backlogs; set outcomes, success measures, priorities, and transparent trade-offs.
• Lead discovery with analysts, clients, and service-area leads; document problems, goals, workflows, permissions, acceptance criteria, edge cases, and instrumentation.
• Assess requests against platform strategy and capacity.

Delivery and adoption

• Partner with UX and software engineering to shape workflows, scope releases, and deliver in two-week cycles.
• Manage backlog refinement and prioritization in Azure DevOps; coordinate integration, security, compliance, and infrastructure dependencies.
• Embed advisory methods and energy value-chain processes; coordinate AI-enabled capabilities with AI Solutions.
• Track adoption, efficiency, data quality, and customer-value KPIs; support rollout, enablement, feedback, and continuous improvement.

Required qualifications

• Bachelor’s degree required; equivalent professional experience is considered. Master’s degree preferred.
• 5+ years of product management experience delivering enterprise B2B or workflow platforms, owning roadmaps, backlogs, and cross-functional prioritization.
• Experience shipping platform capabilities from discovery through launch and adoption with design and engineering teams.
• Understanding of energy value-chain advisory and evaluation workflows, or demonstrated ability to learn rapidly.
• Clear structured specifications, data and analytics fluency, and ability to communicate complex trade-offs.
• Working understanding of modern web platforms, APIs, integrations, and enterprise security, permissions, and compliance.
• Cross-functional leadership and strong collaboration with UX, engineering, data science, domain experts, and global stakeholders.
• Excellent oral and written English communication is required.

Preferred experience

• Preferred: energy due-diligence, advisory, or evaluation workflows; multi-use-case enterprise platforms; energy performance tools.
• Preferred: AI-enabled product capabilities, LLM workflows, and quality/reliability evaluation; complex, technical, or regulated sectors.

Work arrangement

• Hybrid arrangement; typically three days per week at a DNV office or client location/site.
• Position may be based in Montreal, Toronto, or Calgary.

Benefits

• Benefits include paid leave, medical/dental/vision plans, employee assistance, retirement savings match, insurance, education assistance, and flexible scheduling; offerings vary by position, tenure, location, and election.

Compensation information

• The description gives a CAD 115,000–140,000 starting-pay range for Vancouver and Toronto; it does not state compensation cadence and does not establish pay for Calgary.