Senior Product Manager – Data Services

Role overview

Product strategy and discovery

• Own roadmaps and backlogs, define outcomes and success metrics, prioritize work, and contribute to platform sequencing.
• Lead discovery with analysts, clients, and Global Service Area Leads; turn findings into specifications covering problems, goals, workflows, permissions, acceptance criteria, edge cases, and instrumentation.
• Manage requests from advisory regions and partner businesses against platform strategy and capacity.

Delivery and platform integration

• Partner with UX on workflows and prototypes and engineering on scope, sequencing, and regular releases.
• Own backlog readiness and manage work in Azure DevOps; coordinate integration, security, compliance, and infrastructure dependencies.
• Embed advisory methods and energy value-chain processes into workflows, data models, and outputs; advise on feasibility, data, and integration patterns.
• Identify AI-enabled opportunities and coordinate definition and delivery with AI Solutions.

Adoption and improvement

• Track adoption, workflow efficiency, data quality, and customer value; use findings to guide priorities.
• Support rollout, enablement, and feedback with advisory regions and client users.
• Establish reusable practices, templates, and standards to improve product quality and delivery velocity.

Required qualifications

• Bachelor's degree required; equivalent professional experience is considered. Master's degree preferred.
• 5+ years of product management delivering enterprise B2B or workflow platforms, including roadmap, backlog, and cross-functional prioritization ownership.
• 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 ability to learn them rapidly.
• Can write structured specifications, communicate trade-offs, use data and product instrumentation, and collaborate across functions.
• Working understanding of web platforms, APIs, integrations, security, permissions, and compliance in enterprise environments.
• Excellent oral and written English; serves customers in person, by email, and by phone in Quebec, Canada, and the United States.

Preferred experience

• Experience with energy due-diligence, advisory, or evaluation workflows; multi-use-case enterprise platforms; or energy-specific tools is preferred.
• Familiarity with AI-enabled product capabilities, including LLM workflows and quality/reliability evaluation, is preferred.
• Experience in complex, technical, or regulated sectors is preferred.

Work arrangement

• Position may be based in Montreal, Toronto, or Calgary and follows a hybrid arrangement.
• Employees typically spend three days per week at a DNV office or client location/site.

Compensation details

• Listed starting pay range for Toronto and Vancouver is CAD 115,000–CAD 140,000; no compensation cadence is stated.
• A separate French-language Vancouver pay statement lists CAD 150,000–CAD 140,000, conflicting with the English-language range.

Benefits

• Benefits include paid time off, medical, dental and vision plans, assistance programs, retirement savings matching, life and disability insurance, education assistance, and hybrid work opportunities.