Digital Product Manager - Intelligent Workflows

Role overview

Product strategy and discovery

• Partner with the Head of Section on strategy, roadmaps, business cases, and long-term product direction.
• Identify opportunities and define measurable outcomes; prioritize based on user value, business impact, feasibility, platform consistency, and delivery capacity.
• Lead user and stakeholder discovery; understand review, due diligence, decision-support, and reporting workflows.
• Turn research and feedback into requirements, user stories, and hypotheses; validate concepts and prototypes with cross-functional teams.

AI and product delivery

• Identify opportunities for AI, automation, and structured data to improve workflows and customer outcomes; validate AI-enabled concepts with specialist teams.
• Define AI capability requirements and support trusted, practical solutions and reusable platform patterns.
• Support delivery from concept through design, development, testing, release, and adoption; maintain and prioritize the product backlog.
• Monitor product measures and support launch planning, stakeholder communications, user enablement, and change management.
• Promote experimentation and continuous improvement based on data and user feedback.

Required qualifications

• Bachelor's degree required; equivalent professional experience will be considered.
• Experience managing digital products, SaaS platforms, workflow applications, or customer-facing technology.
• Experience contributing to product strategy, roadmaps, discovery, prioritization, and delivery.
• Strong discovery skills, including interviews, workflow analysis, validation, and evidence-based decisions.
• Can translate requirements into capabilities and outcomes; collaborate across engineering, UX, data, and business teams.
• Strong stakeholder management and communication, priority tradeoffs, and effectiveness in ambiguous environments.
• Excellent oral and written English communication skills.

Preferred qualifications

• Experience in due diligence, advisory, assurance, engineering, risk, compliance, or other knowledge-intensive professional services.
• Experience with collaboration, review, decision-support, workflow, or reporting products.
• Familiarity or experience with AI, machine learning, analytics, automation, structured data, or intelligent document workflows.
• Experience with product metrics, data governance, privacy, accessibility, enterprise software, launches, adoption, or change management.

Work arrangement

• Based in a DNV office in Toronto, Montreal, or Calgary.
• Hybrid schedule requires at least three days per week working from a DNV office.

Compensation

• For Toronto and Vancouver, the posting states a starting pay range of CAD 115,000–140,000, without specifying a pay cadence.
• A French-language compensation passage gives a Vancouver range of CAD 150,000–140,000, which conflicts with the English compensation passage and is internally inconsistent.

Benefits

• Benefits may include paid time off, medical, dental and vision coverage, employee assistance, retirement matching, insurance, education assistance, flexible scheduling, and discounts.
• Benefits vary by position, tenure, location, and employee election.

About DNV