UX Designer

📍 Job Overview

Job Title: UX Designer

Company: DNV

Location: Oslo, Norway

Job Type: Full time

Category: UX/UI Design, Digital Solutions

Date Posted: 2026-05-29T13:06:44

Experience Level: Mid-Level (2-5 years)

Remote Status: On-site

🚀 Role Summary

• Design intuitive and visually compelling user interfaces for complex enterprise software products, emphasizing clarity and user control.

• Integrate AI tools and AI-assisted design methodologies into the daily workflow to enhance efficiency and explore new design paradigms.

• Collaborate within a global team of designers to deliver exceptional user experiences and contribute to the evolution of the company's design system and principles.

• Provide design reviews and UX guidance to product teams, ensuring consistent quality and scalability of design across multiple products and customer journeys.

• Focus on creating data-rich interfaces and ensuring user trust, particularly within the context of DNV's energy systems and decarbonization solutions.

📝 Enhancement Note: This role is positioned within DNV's Data and Digital Solutions team, indicating a focus on digital product development within the energy sector. The emphasis on AI tools and AI-assisted design suggests a forward-thinking approach to UX, requiring adaptability and a proactive stance on emerging technologies. The "curious" nature of the desired candidate implies a need for someone who actively seeks to learn and experiment with new tools and methodologies.

📈 Primary Responsibilities

• Conceptualize, design, and prototype high-fidelity user interfaces for complex software applications, ensuring a seamless and engaging user experience.

• Develop and maintain visual design elements, ensuring consistency with DNV's brand guidelines and the global design system.

• Actively participate in design reviews, providing constructive feedback to peers and product teams to uphold design quality and best practices.

• Conduct user research, usability testing, and analysis to inform design decisions and iterate on product features.

• Collaborate closely with product managers, engineers, and other stakeholders to translate business requirements into effective design solutions.

• Champion the adoption of AI tools and AI-assisted design workflows to streamline the design process and explore innovative solutions.

• Contribute to the development and enhancement of DNV's design system, including components, guidelines, and best practices for enterprise product design.

• Design user experiences that effectively manage complex data sets and provide clear user control, especially in AI-driven features.

📝 Enhancement Note: The responsibilities highlight a blend of hands-on design execution and strategic contribution to the design ecosystem. The mention of "complex software products" and "data-rich interfaces" suggests the need for experience in B2B or enterprise-level design, where information density and functional depth are critical. The focus on AI implies a requirement to understand how to design for machine learning outputs and user interaction with AI capabilities.

🎓 Skills & Qualifications

Education: Bachelor's degree in Design (e.g., Graphic Design, Interaction Design, Human-Computer Interaction), Computer Science, or a related field, or equivalent practical experience.

Experience: 2-5 years of professional experience in UX/UI design, with a strong portfolio demonstrating your design process and impact on complex digital products.

Required Skills:

• Proven expertise in UX and UI design principles and methodologies for enterprise software.

• Advanced proficiency in design and prototyping tools, particularly Figma, including experience with auto layout and component libraries.

• Strong visual design skills with a keen eye for detail, typography, color theory, and layout.

• Experience designing AI-assisted experiences, with an understanding of user trust, clarity, and control in AI interactions.

• Ability to design for complex data visualization and data-rich interfaces.

• Experience contributing to or utilizing design systems.

• Excellent collaboration and communication skills, with the ability to articulate design decisions effectively to technical and non-technical stakeholders.

Preferred Skills:

• Experience in the energy sector or with sustainability-focused digital solutions.

• Familiarity with agile development methodologies.

• Experience conducting user research and usability testing.

• Knowledge of front-end development principles (HTML, CSS, JavaScript) to facilitate collaboration with engineers.

• Experience with other design or prototyping tools (e.g., Sketch, Adobe Creative Suite, InVision).

📝 Enhancement Note: The requirement for "advanced Figma skills" and "auto layout" points to a need for efficiency and scalability in design production. The emphasis on AI-assisted design and AI tools suggests that candidates who can demonstrate practical application of these technologies in their portfolio will have a distinct advantage. The "curious" aspect implies a desire for self-starters who are eager to explore and adapt to new technological advancements.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 detailed case studies demonstrating the end-to-end UX design process for complex software products.

• Clearly articulate the problem statement, your role, the design challenges, the solutions implemented, and the measurable outcomes.

• Highlight specific examples of designing AI-assisted experiences, detailing how clarity, trust, and user control were addressed.

• Include examples of how you utilized AI tools within your design workflow and the impact this had on your process or deliverables.

• Demonstrate proficiency in Figma, including examples of component usage, auto layout, and design system contributions.

Process Documentation:

• Detail your approach to user research, ideation, wireframing, prototyping, and usability testing within your case studies.

• Explain how you collaborated with cross-functional teams (developers, product managers) throughout the design lifecycle.

• Illustrate your process for contributing to or utilizing design systems, including component creation and maintenance.

• Document how you approached designing for complex data sets and ensured intuitive user interaction.

📝 Enhancement Note: The portfolio is critical for this role. Candidates should focus on demonstrating their problem-solving skills, design thinking process, and ability to deliver impactful designs for complex systems. Specific examples of AI tool usage and AI-assisted design are essential. Quantifiable results and clear articulation of the design process are paramount.

💵 Compensation & Benefits

Salary Range: Given the role is based in Oslo, Norway, and the experience level (2-5 years), a competitive salary is expected. Based on industry benchmarks for UX Designers in Oslo with similar experience, the estimated annual salary range is approximately NOK 550,000 - 750,000 (approximately USD 52,000 - 71,000, subject to exchange rates). This estimate considers the cost of living in Oslo and the specialized skills required, including AI-assisted design.

Benefits:

• Comprehensive health insurance coverage.

• Generous paid time off and public holidays.

• Pension scheme with employer contributions.

• Opportunities for professional development, including training, conferences, and access to online learning platforms.

• Support for using AI tools and exploring new technologies in the design process.

• Relocation assistance may be available for qualified candidates.

• Potential for hybrid work arrangements after initial on-site integration and team building.

Working Hours: Standard full-time working hours are approximately 40 hours per week, with flexibility offered to accommodate project needs and individual work styles where feasible within an on-site environment.

📝 Enhancement Note: The estimated salary range is based on research of UX Designer salaries in Oslo, Norway, for mid-level professionals as of mid-2024. It accounts for the specialized nature of AI-assisted design and DNV's industry. Benefits are typical for European tech companies operating in the sustainability and energy sectors, emphasizing work-life balance and professional growth.

🎯 Team & Company Context

🏢 Company Culture

Industry: Energy, Environmental Services, Digital Solutions, Maritime, Assurance. DNV operates at the intersection of traditional industries and digital transformation, focusing on sustainability and decarbonization. This context means designers will work on solutions that have a real-world impact on global energy transitions.

Company Size: DNV is a large, global organization with over 12,000 employees worldwide. This size offers stability and broad career opportunities, while the Data and Digital Solutions team likely operates with the agility of a smaller unit within the larger corporation.

Founded: DNV was founded in 1864, bringing a long history of expertise and trust. This heritage is combined with a forward-looking approach to innovation and technology.

Team Structure:

• The UX team is part of the global Data and Digital Solutions division, likely comprising several designers with varied specializations.

• Designers work in cross-functional teams alongside product managers, engineers, data scientists, and subject matter experts.

• Reporting structure is likely to a Design Lead or Head of UX within the Data and Digital Solutions department.

Methodology:

• Emphasis on data-driven design, leveraging analytics and user feedback to inform decisions.

• Agile development methodologies are likely employed, requiring iterative design processes and close collaboration with engineering.

• A strong focus on design systems and scalable UX principles to ensure consistency across a wide range of digital products.

• Encouragement of experimentation with new tools and technologies, particularly AI, to drive innovation.

Company Website: https://www.dnv.com/

📝 Enhancement Note: DNV's mission in decarbonization and energy transition provides a strong purpose-driven context for design work. The company's global presence and long history suggest a stable yet innovative environment. The emphasis on digital solutions indicates a commitment to leveraging technology for industry impact.

📈 Career & Growth Analysis

Operations Career Level: This role is identified as Mid-Level (2-5 years of experience), focusing on hands-on design execution with increasing responsibility for design quality and influencing product direction within specific teams. It represents a crucial stage for developing specialized skills and gaining experience in complex enterprise environments.

Reporting Structure: The UX Designer will report to a Design Lead or Manager within the Data and Digital Solutions team. They will work closely with Product Managers and Engineering Leads on project-specific initiatives, fostering a collaborative, cross-functional team dynamic.

Operations Impact: The UX Designer's work directly influences the usability, efficiency, and adoption of DNV's digital products. By designing intuitive interfaces and effective AI-assisted workflows, they contribute to customer satisfaction, operational efficiency for clients, and ultimately, DNV's mission of driving decarbonization and sustainability in the energy sector.

Growth Opportunities:

• Specialization: Develop deep expertise in AI-assisted design, data visualization, or specific domains like energy systems.

• Leadership: Progress to Senior UX Designer, Lead UX Designer, or UX Manager roles, taking on more strategic responsibilities and team leadership.

• Skill Development: Participate in workshops, conferences, and training programs focused on emerging design technologies, AI, and UX research methodologies.

• Cross-functional Mobility: Gain exposure to product management, engineering, and data science roles through project collaboration.

📝 Enhancement Note: The growth trajectory for a UX Designer at DNV appears to be well-defined, moving from individual contribution to team leadership and strategic influence. The company's focus on innovation, particularly in AI, offers exciting opportunities for continuous learning and skill diversification, making it an attractive path for ambitious designers.

🌐 Work Environment

Office Type: The role is specified as "On-site," indicating a traditional office-based work environment within DNV's Oslo, Norway location. This setting is designed to foster collaboration, spontaneous idea-sharing, and team cohesion.

Office Location(s): Oslo, Norway. DNV likely has modern office facilities in Oslo, providing a professional and well-equipped workspace. Accessibility via public transport and parking options should be considered.

Workspace Context:

• A collaborative office space designed to encourage interaction among design, product, and engineering teams.

• Access to necessary hardware, software, and design tools, including licenses for Figma and potentially other AI design tools.

• Opportunities for informal and formal design critiques, brainstorming sessions, and team meetings.

• A professional atmosphere aligned with DNV's established reputation in the energy and maritime sectors.

Work Schedule: The standard 40-hour work week is typical, with an expectation of flexibility to meet project deadlines. While on-site, there may be opportunities for some level of schedule flexibility, subject to team and project requirements.

📝 Enhancement Note: The on-site requirement suggests a preference for in-person collaboration, which can be beneficial for complex design challenges and team building. Candidates should be prepared for a structured work environment that values face-to-face interaction and collaborative problem-solving.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with HR or a recruiter to assess basic qualifications and cultural fit.

• Portfolio Review & Technical Interview: A session with the hiring manager and potentially other designers to discuss your portfolio, design process, and technical skills, with a focus on Figma proficiency and AI design experience. Expect questions about your approach to complex problems and your understanding of enterprise UX.

• Design Challenge/Case Study: You may be asked to complete a take-home design exercise or present a detailed case study from your portfolio, focusing on problem-solving, design rationale, and AI integration.

• Team/Stakeholder Interviews: Meetings with potential team members (engineers, product managers) to assess collaboration skills and cross-functional fit.

• Final Interview: A concluding discussion with senior leadership to finalize the decision.

Portfolio Review Tips:

• Curate Effectively: Select 2-3 of your strongest case studies that best represent your skills in complex enterprise software design, AI-assisted design, and visual design.

• Tell a Story: Structure each case study to clearly outline the problem, your process, your specific contributions, the challenges you faced, and the measurable impact of your design solutions.

• Highlight AI Integration: Clearly showcase where and how you used AI tools or designed AI-assisted features. Explain your rationale for these choices and the outcomes.

• Demonstrate Figma Mastery: Be prepared to walk through your Figma files, demonstrating your understanding of components, auto layout, and design system principles.

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your designs (e.g., increased user engagement, reduced task completion time, improved user satisfaction scores).

Challenge Preparation:

• Understand the Context: If given a take-home challenge, thoroughly research DNV, its mission, and its focus areas (energy, sustainability, digital solutions).

• Focus on Process: Even if the final output is polished, emphasize your thought process, problem-solving approach, and design rationale.

• AI Integration: Consider how AI could be relevant to the challenge and be prepared to discuss its potential application.

• Presentation Skills: Practice presenting your work concisely and engagingly, anticipating questions about your design decisions.

📝 Enhancement Note: The interview process emphasizes a thorough evaluation of design skills, process, and fit. The portfolio is central, and candidates must be prepared to articulate their design journey, especially concerning AI integration and complex enterprise solutions.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core tool for UI design, prototyping, and collaboration. Advanced proficiency, including auto layout, component libraries, and design system integration, is expected.

• AI Design Tools: Candidates are expected to be familiar with and proficient in using various AI tools that assist in the design workflow (e.g., AI-powered ideation, content generation, design automation, UX analysis tools). Specific tools may vary, but a willingness to explore and adopt new AI technologies is key.

• Prototyping Tools: Beyond Figma's built-in capabilities, other prototyping tools might be used for specific interactive needs.

Analytics & Reporting:

• User Analytics Platforms: Familiarity with tools like Google Analytics, Amplitude, Mixpanel, or similar, for understanding user behavior and informing design iterations.

• A/B Testing Tools: Experience with tools that facilitate A/B testing to validate design hypotheses.

CRM & Automation:

• While not direct responsibilities, an understanding of how design integrates with CRM systems (like Salesforce) or automation platforms might be beneficial for context in enterprise product design.

📝 Enhancement Note: The explicit mention of Figma and AI tools highlights the critical technical requirements for this role. Candidates should be prepared to discuss their experience with these tools in detail and demonstrate how they leverage them to create efficient and effective designs.

👥 Team Culture & Values

Operations Values:

• Curiosity & Innovation: A strong drive to explore new tools, technologies (especially AI), and methodologies. The company fosters an environment where new ideas are welcomed and experimentation is encouraged.

• Impact-Driven: A focus on delivering designs that have a tangible positive impact on DNV's customers and contribute to the company's mission of sustainability and decarbonization.

• Collaboration & Transparency: Working effectively within a global team, sharing knowledge, providing constructive feedback, and maintaining open communication channels.

• Quality & Craftsmanship: A commitment to high-quality visual design, intuitive user experiences, and robust design systems.

• User-Centricity: Designing with a deep understanding of user needs, workflows, and challenges, particularly in complex enterprise and AI-driven contexts.

Collaboration Style:

• Cross-functional Integration: Designers are expected to be integral members of product teams, working closely with product managers, engineers, and data scientists.

• Design Critiques: Regular participation in design reviews and critique sessions to foster continuous improvement and shared learning.

• Knowledge Sharing: Active contribution to internal design documentation, best practices, and shared resources.

• Agile Teamwork: Embracing agile principles to adapt quickly to changing requirements and deliver value iteratively.

📝 Enhancement Note: The culture at DNV, particularly within the Data and Digital Solutions team, appears to be a blend of corporate stability and a startup-like drive for innovation and impact. The emphasis on curiosity and AI suggests an environment ripe for professional growth and exploration of cutting-edge design practices.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing AI-Assisted Experiences: Navigating the complexities of designing for AI, ensuring transparency, user control, and trust, especially in critical applications like energy systems.

• Balancing Global Consistency with Local Needs: Contributing to a global design system while also understanding and designing for diverse user needs across different markets.

• Integrating New Technologies: Staying abreast of rapid advancements in AI and design tools and effectively integrating them into established workflows and products.

• Complex Data Visualization: Designing interfaces that effectively present and allow interaction with large, complex datasets for technical users.

Learning & Development Opportunities:

• AI Design Specialization: Deep dive into AI-human interaction design, prompt engineering for design tools, and ethical AI design principles.

• Industry Knowledge: Gaining expertise in the energy sector, decarbonization strategies, and sustainable technology through project work.

• Design System Expansion: Contributing to the growth and evolution of DNV's enterprise-wide design system.

• Workshops & Conferences: Access to industry events and internal training focused on UX, AI, and digital transformation.

📝 Enhancement Note: This role offers significant opportunities to work at the forefront of AI in design and contribute to impactful sustainability initiatives. The challenges are inherent to working with emerging technologies and complex domains, presenting excellent growth potential for motivated individuals.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed an AI-assisted feature. What were the key challenges, and how did you ensure user trust and control?"

• "Walk me through your process for designing a complex, data-rich interface. How did you approach information architecture and user flow?"

• "How do you contribute to or build a design system? Provide an example of a component you designed and its impact."

Company & Culture Questions:

• "What interests you about DNV's mission in decarbonization and sustainability?"

• "How do you stay curious and keep up with new design tools and technologies, particularly in the AI space?"

• "Describe your experience working in a global, cross-functional team. How do you handle differing opinions or priorities?"

Portfolio Presentation Strategy:

• Start with the "Why": Clearly articulate the business problem or user need that drove your design decisions.

• Show Your Process: Use visuals (sketches, wireframes, user flows) to illustrate your thinking and iteration.

• Emphasize Your Role: Be specific about your contributions, especially in collaborative projects.

• Quantify Results: Present metrics that demonstrate the success and impact of your designs.

• Proactively Address AI: If AI was involved, make it a central theme of your case study. Explain the tools, the approach, and the outcome.

• Figma Showcase: Be ready to share your screen and navigate your Figma file to demonstrate your skills and workflow.

📝 Enhancement Note: Interview preparation should focus on showcasing a strong design process, practical experience with Figma and AI tools, and a clear understanding of DNV's mission. Candidates should be ready to articulate their problem-solving skills and design rationale with specific examples.

📌 Application Steps

To apply for this operations position:

• Submit your application through the DNV careers portal via the provided link.

• Curate Your Portfolio: Select your most relevant case studies, ensuring they highlight your experience with complex enterprise software, AI-assisted design, and proficiency in Figma. Quantify outcomes and clearly articulate your design process.

• Tailor Your Resume: Emphasize keywords from the job description such as "UX Design," "Visual Design," "Figma," "AI-Assisted Interface Design," "Design Systems," and "Enterprise Product Design." Highlight achievements with quantifiable results.

• Prepare Your Narrative: Practice articulating your design philosophy, your approach to problem-solving, and your experience with AI tools and complex systems. Be ready to discuss your portfolio in detail.

• Research DNV: Understand DNV's mission, its role in the energy transition, and its commitment to digital solutions. This will help you tailor your responses and demonstrate genuine interest.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.