Digital Product Manager - Intelligent Workflows

Role overview

Strategy and discovery

• Partner with the Head of Section on product strategy, roadmap priorities, business cases, and long-term direction.
• Lead discovery with users, customers, domain experts, and business stakeholders; study review, due-diligence, decision-support, and reporting workflows.
• Turn research and feedback into requirements, user stories, hypotheses, and measurable product outcomes; validate concepts and prototypes.

AI and product delivery

• Identify AI, automation, and structured-data opportunities; work with AI product, engineering, data science, and domain teams to define and validate capabilities.
• Support product delivery from concept through design, development, testing, release, and adoption; maintain and prioritize the backlog.
• Measure adoption, usage, quality, and outcomes; support launches, user enablement, stakeholder communications, and change management.
• Promote experimentation and continuous improvement using data and user feedback; identify reusable product patterns.

Required qualifications

• Bachelor’s degree required; equivalent professional experience will also be considered.
• Experience managing digital products, SaaS platforms, workflow applications, or customer-facing technology.
• Experience contributing to strategy, roadmaps, discovery, prioritization, and delivery; strong user research and workflow-analysis skills.
• Ability to translate customer, business, and technical requirements into product capabilities and measurable outcomes.
• Ability to work across engineering, UX, data, and business stakeholders; strong stakeholder communication and trade-off judgment.
• Ability to operate in evolving, ambiguous product environments and articulate user needs, business value, and product direction.
• Excellent oral and written English communication is required.

Preferred experience

• Preferred: due diligence, advisory, assurance, engineering, risk, compliance, or other knowledge-intensive services.
• Preferred: collaboration, review, decision-support, workflow, or reporting products; AI-enabled products, automation, structured data, or intelligent document workflows.
• Preferred: AI/ML/analytics/automation product teams, product metrics, data governance, privacy, accessibility, enterprise software, launches, user adoption, or change management.

Work arrangement

• Hybrid schedule, with at least three days per week working from a DNV office.
• Position may be based in Toronto, Montreal, 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.