Digital Product Manager - Intelligent Workflows

Role overview

Product strategy and discovery

• Shape product strategy, roadmap priorities, business cases, and long-term direction with the Head of Section.
• Identify opportunities, set discovery priorities and measurable outcomes, and balance user value, business impact, feasibility, platform consistency, and delivery capacity.
• Lead discovery with users, customers, domain experts, and business stakeholders; translate research and workflow analysis into requirements, user stories, and product hypotheses.
• Partner with UX, engineering, AI Solutions, and Data Services to validate concepts and recommend evidence-based product investments.

AI-enabled products and delivery

• Identify opportunities for AI, automation, and structured data to improve user workflows and customer outcomes.
• Work with AI product managers, engineers, data scientists, and domain experts to validate AI-enabled product concepts and define capabilities.
• Support delivery from concept through design, development, testing, release, and adoption; maintain and prioritize the product backlog.
• Monitor adoption, usage, quality, and outcome measures; support launches, stakeholder communications, user enablement, and change management.
• Promote experimentation and continuous improvement based on data and user feedback.

Workplace and schedule

• The role is based at a DNV office in Toronto, Montreal, or Calgary and follows a hybrid schedule with at least three office days per week.

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 solutions.
• Experience contributing to product strategy, roadmaps, discovery, prioritization, and delivery; conducting user research and workflow analysis; and translating requirements into measurable capabilities.
• Ability to collaborate across engineering, UX, data, and business teams, manage stakeholders, communicate with technical and non-technical audiences, and make product trade-offs.
• Ability to work effectively amid ambiguity and communicate clearly in written and spoken English.

Preferred qualifications

• Professional services experience in due diligence, advisory, assurance, engineering, risk, or compliance is preferred.
• Experience with collaboration, review, decision-support, workflow, or reporting products; AI-enabled products, automation, analytics, or machine learning; and product metrics is preferred.
• Familiarity with data governance, privacy, accessibility, enterprise software, product launches, commercialization, adoption, or change management is preferred.

Compensation

• The posting states a CAD 115,000–140,000 starting-pay range for Toronto and Vancouver; no compensation cadence is specified.
• The posting also contains a conflicting French Vancouver range, so that separate range is not treated as a definitive compensation fact.

Benefits

• Benefits described include paid time off, medical, dental and vision plans, retirement contributions, life and disability insurance, education assistance, and employee support programs.