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DNV

Independent assurance and risk management firm.

Digital Product Manager - Intelligent Workflows

Product ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree is required; equivalent professional experience will also be considered.
  • Experience managing digital products, SaaS platforms, workflow applications, or customer-facing technology solutions.
  • Demonstrated experience contributing to product strategy, roadmap development, product discovery, prioritization, and delivery.
  • Strong product discovery skills, including user interviews, workflow analysis, validation, and evidence-based decision-making.
  • Experience translating customer, business, and technical requirements into product capabilities and measurable outcomes.
  • Ability to work closely with engineering, UX, data, and business stakeholders throughout the product lifecycle.
  • Strong stakeholder management and communication skills across technical and non-technical audiences.
  • Experience balancing competing priorities and making informed product trade-off decisions.
  • Ability to operate effectively in evolving product environments with a high degree of ambiguity.
  • Ability to clearly articulate user needs, business value, and product direction.
  • Excellent oral and written English communication skills; the employee must serve customers in person, by email, and by phone in Quebec, elsewhere in Canada, and in the United States.
  • Candidates must undergo pre-employment background screening.

Responsibilities

  • Partner with the Head of Section to shape product strategy, roadmap priorities, business cases, and long-term product direction.
  • Identify and evaluate product opportunities that improve customer value, workflow efficiency, decision quality, and product adoption.
  • Translate strategic objectives into product themes, discovery priorities, and measurable product outcomes.
  • Contribute to prioritization decisions by balancing user value, business impact, technical feasibility, platform consistency, and delivery capacity.
  • Help define product success metrics tied to adoption, workflow efficiency, customer value, and business outcomes.
  • Lead product discovery activities with users, customers, domain experts, and business stakeholders.
  • Develop a deep understanding of collaborative review, due diligence, decision-support, and reporting workflows.
  • Translate user research, workflow analysis, and stakeholder feedback into product requirements, user stories, and product hypotheses.
  • Partner with UX, engineering, AI Solutions, and Data Services to validate concepts, prototypes, and emerging product opportunities.
  • Apply evidence-based decision-making to identify, assess, and recommend product investments.
  • Identify opportunities where AI, automation, structured data, and emerging digital capabilities can improve user workflows and customer outcomes.
  • Collaborate with AI product managers, engineering teams, data scientists, and domain experts to explore and validate AI-enabled product concepts.
  • Help define requirements for AI-powered capabilities that enhance decision support, collaboration, workflow execution, and reporting experiences.
  • Contribute to evaluating and adopting AI-enabled capabilities while ensuring solutions remain practical, trusted, and aligned to user needs.
  • Help identify reusable product patterns and platform capabilities for use across DNV's wider digital ecosystem.
  • Support product delivery from concept through design, development, testing, release, and adoption.
  • Maintain and prioritize the product backlog in alignment with roadmap objectives and business priorities.
  • Define and monitor adoption, usage, quality, and outcome measures to assess product performance.
  • Support launch planning, stakeholder communications, user enablement, and change management activities.
  • Promote experimentation, learning, customer focus, and continuous improvement driven by data and user feedback.

Desired Qualifications

  • Experience in due diligence, advisory, assurance, engineering, risk, compliance, or other knowledge-intensive professional services environments.
  • Experience building collaboration, review, decision-support, workflow, or reporting products.
  • Familiarity with AI-enabled products, workflow automation, structured data, or intelligent document-centric workflows.
  • Experience working with product teams delivering AI, machine learning, analytics, or automation capabilities.
  • Experience defining and evaluating product metrics related to adoption, efficiency, user behavior, and business outcomes.
  • Familiarity with data governance, privacy, accessibility, and enterprise software requirements.
  • Experience supporting product launches, commercialization, user adoption, and change management initiatives.

About the Company

DNV

Independent assurance and risk management firm.

DNV is a global assurance and risk management firm that certifies the safety and compliance of a company’s systems, products, and supply chains across industries like maritime, energy, healthcare, and food. Its work involves independent verification and certification, using standardized, science-based criteria to assess ships, pipelines, safety management, and other processes, ensuring they meet agreed standards. What sets DNV apart is its long history and wide reach: born from 19th-century maritime risk assessment, it has grown into a multinational organization with about 15,000 employees in over 100 countries, and it combines deep domain expertise with a focus on safety and sustainability, including digitalization and the energy transition. The company’s goal is to be the trusted voice on safety and sustainability, helping clients manage risk, improve reliability, and demonstrate compliance through trusted certifications and assessments.

Company size
10,001+
Company stage
Grant
Total funding
$2.1M
Headquarters
Bærum, Norway
Founded
1864

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