Senior User Researcher with Dutch

📍 Job Overview

Job Title: Senior User Researcher with Dutch

Company: Wolters Kluwer

Location: Hoevelaken, Netherlands

Job Type: Full time

Category: User Experience (UX) Research / Product Strategy

Date Posted: 2026-11-04T00:00:00

Experience Level: 5-10 years

Remote Status: Hybrid

🚀 Role Summary

• Lead complex, strategic user research initiatives to directly inform product strategy, design, and delivery, particularly for AI-enabled products.

• Analyze evidence, research, competitor, and usage data to identify key actionable insights, emerging user needs, and market trends.

• Develop and maintain research roadmaps and strategies that align with product priorities and business objectives.

• Present strategic findings and recommendations to cross-functional teams and stakeholders to influence product decisions and ensure customer-centricity.

• Guide and mentor junior researchers and product teams to democratize research and foster evidence-informed decision-making across the organization.

📝 Enhancement Note: This role is positioned as a strategic individual contributor with significant autonomy, focusing on leveraging user insights to shape product strategy, especially concerning Artificial Intelligence (AI) and Agentic AI within the Netherlands Tax and Accounting (TAA) division. The emphasis on AI literacy and the specific mention of "AI-enabled products" and "Agentic AI" highlight a forward-thinking approach to research within Wolters Kluwer's product development lifecycle.

📈 Primary Responsibilities

• Spearhead the planning and execution of strategic user research projects, employing a diverse range of generative and evaluative research methodologies to shape product and experience strategy.

• Conduct in-depth analysis of qualitative and quantitative data, including competitor analysis and user behavior patterns, to identify critical insights, unmet needs, and emerging trends.

• Develop comprehensive research roadmaps and strategic plans that are tightly aligned with overarching product priorities and business goals.

• Effectively communicate research findings, strategic recommendations, and actionable insights to a broad spectrum of cross-functional teams and senior stakeholders.

• Provide mentorship and guidance to junior researchers and product teams, promoting research best practices and fostering a culture of evidence-informed decision-making.

• Integrate user feedback seamlessly into all phases of the product lifecycle, from discovery and experimentation to design and development.

• Collaborate closely with Product Managers and other cross-functional teams to translate research findings into concrete opportunity areas, hypotheses, and roadmap inputs.

• Maintain and enhance user research methodologies, ensuring adherence to industry best practices and contributing to the evolution of Research Operations standards.

📝 Enhancement Note: The responsibilities emphasize a strategic, end-to-end approach to user research, moving beyond tactical execution to actively influencing product strategy and development. The inclusion of "workflow maps highlighting automation opportunities" and "AI-enabled journey mapping" suggests a focus on process optimization and the application of advanced technologies within research outputs.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in a relevant discipline such as Design, Human-Computer Interaction (HCI), Behavioral Sciences, or a related field.

• Master's degree is preferred.

• Advanced UX certification or specialized training in user research methodologies is highly valued. Experience:

• Substantial professional experience in user research, UX strategy, experience strategy, service design, or product discovery within complex product or service environments.

• 5+ years of dedicated experience in a User Research role for digital solutions, with proven leadership in research planning and execution.

• Experience evaluating and researching emerging user interaction patterns, and influencing product strategy for AI and Agentic solutions.

• Experience in a B2B environment, particularly with enterprise solutions, is preferred.

• Knowledge of Tax & Accounting solutions and associated customer workflows is a significant plus. Required Skills:

• Advanced Research Methods: Mastery of a wide spectrum of research techniques, including but not limited to:

  • Jobs-to-be-Done (JTBD) framework.
  • Comprehensive end-to-end user journey mapping.
  • Workflow analysis and mapping, specifically identifying automation opportunities.

• Evidence Synthesis: Proven ability to synthesize complex qualitative and quantitative data into clear, actionable insights and strategic recommendations.

• Project Management: Demonstrated skills in managing and leading multiple research projects concurrently, prioritizing evidence gathering, and meeting deadlines.

• Stakeholder Communication: Exceptional ability to articulate research findings, strategic recommendations, and user insights to diverse stakeholder groups, including senior leadership.

• Mentoring: Capability and willingness to mentor junior team members and guide product teams on research best practices.

• Strategic Thinking: Strong aptitude for connecting user evidence with product direction, identifying customer value, and aligning research with business priorities.

• Best Practices Adherence: Thorough knowledge of current industry best practices in UX research and a commitment to upholding them.

• AI Literacy: Proficiency in utilizing AI-assisted data analysis techniques (e.g., theme clustering, pattern identification, signal surfacing) to accelerate research synthesis. Critical assessment of AI-generated insights for bias, validity, explainability, and ethical alignment. Ability to guide stakeholders on effective AI integration in research. Exploration of AI-supported persona development and advanced journey mapping techniques. Preferred Skills:

• Experience in a B2B enterprise solutions environment.

• Familiarity with Tax & Accounting software and typical customer workflows.

📝 Enhancement Note: The qualifications emphasize a senior-level researcher with strategic influence, particularly in the emerging field of AI-driven products. The requirement for AI literacy and the specific skills related to AI-assisted analysis and evaluation are critical differentiators for this role. The preference for B2B and Tax & Accounting experience suggests a need for domain-specific understanding.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase evidence of leading complex user research initiatives from inception to strategic recommendation.

• Include case studies demonstrating the application of various research methodologies (generative, evaluative) and their impact on product strategy.

• Highlight projects where you synthesized complex data into actionable insights that directly informed product decisions or roadmap priorities.

• Demonstrate experience in developing research roadmaps and strategies aligned with product goals.

• Present examples of how you have integrated user feedback into product discovery, design, and development processes. Process Documentation:

• Provide examples of detailed research plans, including methodology selection, participant recruitment strategies, and data analysis frameworks.

• Include examples of user journey maps, workflow analyses, or similar artifacts that clearly illustrate user processes and identify opportunities for improvement or automation.

• Showcase how you have translated research findings into concrete, prioritized inputs for product roadmaps and feature development.

• Demonstrate experience in documenting and communicating research findings and strategic recommendations to diverse audiences, including senior stakeholders.

📝 Enhancement Note: A strong portfolio for this role will not only demonstrate research expertise but also the ability to translate research into strategic business impact. Emphasis should be placed on how research directly influenced product direction, particularly in the context of AI and complex B2B solutions. The inclusion of "workflow maps highlighting automation opportunities" is a specific requirement for portfolio content.

💵 Compensation & Benefits

Salary Range:

• Based on industry benchmarks for Senior User Researchers in the Netherlands with 5-10 years of experience, and considering Wolters Kluwer's standing as a large, established organization, the estimated annual salary range is between €70,000 and €95,000. This estimate can vary based on the candidate's specific experience, qualifications, and negotiation. Benefits:

• Comprehensive health insurance package.

• Generous paid time off (vacation days, holidays).

• Pension plan contributions.

• Opportunities for professional development, including training, conferences, and certifications.

• Hybrid work model with flexibility for remote work and in-office collaboration.

• Access to company resources and employee assistance programs.

• Potential for performance-based bonuses. Working Hours:

• Standard full-time position, typically around 40 hours per week.

• The hybrid work arrangement allows for flexibility, with an expectation of approximately 2 days per week in the Hoevelaken office.

📝 Enhancement Note: Salary estimation is based on publicly available data for similar roles in the Netherlands, adjusted for experience level and industry. Wolters Kluwer, as a global company, is expected to offer competitive benefits typical for a large organization. The hybrid nature of the role implies a degree of flexibility in scheduling, balanced with in-office collaboration requirements.

🎯 Team & Company Context

🏢 Company Culture

Industry: Information Services, Software, and Technology, with a strong focus on professional solutions in sectors like Tax & Accounting, Healthcare, and Legal. Wolters Kluwer is a significant player in providing data, software, and analytics to professionals globally.

Company Size: Large enterprise (over 10,000 employees globally). This scale suggests robust processes, diverse teams, and opportunities for broad impact.

Founded: 1877. With a long history, Wolters Kluwer has a strong foundation and a deep understanding of its professional markets, likely fostering a culture of reliability, expertise, and long-term vision.

Team Structure:

• The Senior User Researcher will report to the Lead UX Researcher TAA - Europe West.

• This role is part of a hybrid work model, collaborating with Product and Design team members based in the Hoevelaken office.

• The user research function likely collaborates closely with Product Management, Engineering, Design, and Marketing teams to ensure a cohesive customer experience. Methodology:

• Wolters Kluwer emphasizes evidence-informed decision-making, with user research playing a critical role in shaping product strategy and design.

• The company is actively integrating AI into its product offerings and research methodologies, indicating a commitment to innovation and leveraging cutting-edge technology.

• A focus on customer needs and market trends drives product development, with research insights serving as a key input.

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

📝 Enhancement Note: The company's long history and large size suggest a structured environment with established processes, but also a commitment to innovation, especially with its focus on AI. The user research team likely operates within a matrixed structure, requiring strong collaboration and communication skills to navigate cross-functional relationships.

📈 Career & Growth Analysis

Operations Career Level: Senior Individual Contributor. This level signifies a high degree of autonomy, expertise, and the ability to lead complex initiatives and mentor others. The role is expected to have a significant impact on product strategy and user experience within the TAA division, particularly concerning AI integration.

Reporting Structure: Reports to the Lead UX Researcher TAA - Europe West. This provides a clear reporting line for mentorship, performance management, and strategic alignment within the broader UX research function.

Operations Impact: This role is pivotal in ensuring that product development, especially for AI-enabled solutions, is deeply rooted in user needs and market realities. The insights generated will directly influence product roadmaps, feature prioritization, and the overall success of Wolters Kluwer's offerings in the Netherlands Tax and Accounting market.

Growth Opportunities:

• Skill Advancement: Deepen expertise in AI-driven research methodologies, advanced synthesis techniques, and strategic product consulting. Potential to become a subject matter expert in AI user research.

• Leadership Development: Transition into a Lead UX Researcher role, manage a team, or take on broader strategic responsibilities within the UX research function or product management.

• Cross-Functional Influence: Expand influence across different product lines or regions within Wolters Kluwer by demonstrating impactful research and strategic recommendations.

• Industry Recognition: Contribute to best practices and potentially present findings at industry conferences, enhancing personal and company reputation in UX research and AI innovation.

📝 Enhancement Note: The role offers significant growth potential for a senior researcher looking to make a strategic impact, particularly in the rapidly evolving field of AI. The combination of mentorship, strategic influence, and the opportunity to work on cutting-edge AI products provides a strong foundation for career advancement within Wolters Kluwer.

🌐 Work Environment

Office Type: Hybrid work model, with a physical presence required at the Hoevelaken office. This suggests a blend of collaborative in-office work and focused remote work.

Office Location(s): Hoevelaken, Netherlands. This location serves as a hub for product and design teams, facilitating in-person collaboration and team integration.

Workspace Context:

• Collaborative Environment: The Hoevelaken office is likely equipped to support team collaboration, brainstorming sessions, and cross-functional meetings, crucial for a hybrid role.

• Operations Tools and Technology: Access to standard UX research tools, collaboration platforms, and potentially specialized AI research tools will be provided.

• Team Interaction: Opportunities for regular interaction with product managers, designers, engineers, and fellow researchers, fostering knowledge sharing and a cohesive team spirit. Work Schedule:

• Standard 40-hour work week.

• The hybrid nature allows for flexibility in balancing remote and in-office workdays, enabling researchers to adapt their schedules to project needs and personal preferences while ensuring team connectivity.

📝 Enhancement Note: The hybrid model is designed to balance the benefits of in-person collaboration with the flexibility of remote work, which is increasingly standard for roles involving deep analytical work and creative problem-solving. The Hoevelaken office will be the primary base for team interaction and in-person meetings.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and resume, focusing on experience with strategic user research, AI, and B2B environments.

• First Interview (Video Call): Typically with the Lead UX Researcher. This will assess your experience, research methodologies, strategic thinking, and cultural fit. Be prepared to discuss your approach to complex research challenges and your experience with AI.

• Second Interview (Video Call/Onsite): This may involve a broader panel, including Product Managers, Designers, or other stakeholders. It will delve deeper into your ability to synthesize data, communicate findings, and influence product strategy. A presentation of your portfolio is highly likely at this stage.

• Portfolio Review & Presentation: Candidates will be asked to present a selection of their work, focusing on strategic impact, research process, and how they've influenced product decisions. Specific attention will be given to projects demonstrating AI research experience, Jobs-to-be-Done, and journey mapping.

• Final Interview: May involve senior leadership to discuss strategic alignment and long-term potential.

• Onsite Component: Applicants may be required to attend an onsite interview at the Wolters Kluwer office in Hoevelaken.

Portfolio Review Tips:

• Strategic Focus: Highlight projects where your research directly led to significant product strategy shifts or improvements. Quantify impact where possible (e.g., increased user adoption, reduced friction, improved conversion).

• AI Integration: Showcase at least one project demonstrating your experience with AI research, including how you utilized AI tools for analysis or researched AI-enabled user experiences.

• Methodology Diversity: Present a range of research methods used, explaining why each was chosen for specific projects.

• Storytelling: Structure your case studies with a clear narrative: problem, your approach, key insights, recommendations, and impact.

• Clear Communication: Ensure your presentation is concise, visually appealing, and easy for a non-research audience to understand.

• Dutch Language Proficiency: Be prepared to discuss your Dutch language skills and how they facilitate research within the Netherlands market.

Challenge Preparation:

• Be ready for a take-home assignment or a live case study involving analyzing a dataset, identifying user needs, and proposing research directions for an AI product.

• Practice articulating your thought process, research rationale, and strategic recommendations clearly and concisely.

• Prepare to discuss how you would approach research challenges in a B2B Tax & Accounting context.

📝 Enhancement Note: The interview process emphasizes strategic thinking, communication, and the ability to translate research into tangible business outcomes. The portfolio is a critical component, and candidates should proactively showcase their experience with AI research and its strategic implications. The explicit mention of AI tools and the request for authenticity in interviews are key points to note.

🛠 Tools & Technology Stack

Primary Tools:

• Research Platforms: Tools for participant recruitment, screening, and survey deployment (e.g., Qualtrics, SurveyMonkey, UserTesting.com, Maze).

• Collaboration & Prototyping Tools: For sharing findings and working with design/product teams (e.g., Figma, Miro, Mural, Confluence).

• Data Analysis Software: Tools for qualitative and quantitative data analysis, potentially including AI-assisted synthesis tools (e.g., Dovetail, NVivo, Excel, advanced statistical software).

Analytics & Reporting:

• Business Intelligence Tools: Familiarity with BI tools for understanding product usage data and market trends (e.g., Tableau, Power BI).

• Web Analytics: Experience with tools like Google Analytics for understanding user behavior on digital platforms.

CRM & Automation:

• CRM Systems: Understanding of how CRM data (e.g., Salesforce) can inform user research and segmentation, particularly in a B2B context.

• Workflow Automation Tools: Awareness of how workflow automation impacts user processes, relevant for identifying opportunities in research.

📝 Enhancement Note: While specific tool names are not listed, the role implies proficiency with a standard suite of UX research tools. The emphasis on AI literacy suggests a need to be comfortable with, or quickly learn, AI-powered data analysis and synthesis tools. Familiarity with BI and CRM systems will enhance the ability to connect user insights with business data.

👥 Team Culture & Values

Operations Values:

• Customer Centricity: A deep commitment to understanding and advocating for user needs in all product development decisions.

• Data-Driven Decision Making: Relying on robust research evidence and analytics to guide strategy and prioritize initiatives.

• Innovation & Continuous Learning: Embracing new technologies like AI and methodologies to improve research practices and product offerings.

• Collaboration & Transparency: Working effectively across teams to share insights and build consensus.

• Integrity & Professionalism: Upholding high ethical standards in research and client interactions, especially given the sensitive nature of professional data.

Collaboration Style:

• Cross-functional Integration: Actively partnering with Product Management, Engineering, Design, and Marketing to ensure research insights are understood and integrated.

• Evidence-Based Advocacy: Presenting research findings persuasively to influence stakeholders and drive consensus.

• Knowledge Sharing: Willingness to share research processes, findings, and best practices across teams to democratize user understanding.

• Proactive Engagement: Initiating research and collaborating with stakeholders early in the product lifecycle.

📝 Enhancement Note: Wolters Kluwer likely fosters a culture that values expertise, data integrity, and customer focus. For this role, a proactive, collaborative, and innovative mindset will be crucial, especially when navigating the integration of AI into research and products. The company's emphasis on authenticity in interviews suggests a value placed on genuine contributions and individual thought.

⚡ Challenges & Growth Opportunities

Challenges:

• Complex B2B Environments: Navigating the intricate needs and workflows of professional users in the Tax & Accounting sector, which may involve legacy systems and specialized processes.

• AI Integration Complexity: Effectively researching and advising on AI-enabled products requires understanding both user experience principles and the capabilities/limitations of AI technology.

• Balancing Strategic vs. Tactical Research: Ensuring that strategic, long-term insights are prioritized alongside more immediate product needs.

• Influencing Stakeholders: Persuading diverse stakeholders with varying priorities to adopt research-backed recommendations, especially when introducing novel AI concepts.

• Remote/Hybrid Collaboration: Maintaining strong team cohesion and effective communication in a hybrid work environment.

Learning & Development Opportunities:

• AI Research Specialization: Becoming a leader in applying AI to user research methodologies and understanding AI's impact on user behavior.

• Product Strategy Influence: Developing skills in translating research insights into high-level product strategy and business cases.

• Mentorship and Leadership: Gaining experience in mentoring junior researchers and potentially leading research initiatives within the TAA region.

• Industry Best Practices: Staying abreast of cutting-edge UX research techniques and AI advancements through conferences, training, and internal knowledge sharing.

📝 Enhancement Note: The primary challenges lie in the complexity of the B2B domain, the nascent stage of AI in many user research contexts, and the need for strong influence. The growth opportunities are substantial for a researcher eager to specialize in AI and strategic product development.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used user research to significantly influence product strategy for a complex digital product. What was your process, and what was the outcome?" (Focus on strategic impact, methodology, and outcome).

• "How would you approach researching the user experience of an AI-powered feature, such as an automated tax advisory tool? What specific methodologies would you employ, and what ethical considerations would you prioritize?" (Assess AI literacy, methodological rigor, and ethical awareness).

• "Walk me through a research project where you identified a significant user need or pain point that wasn't initially on the product roadmap. How did you present your findings, and what was the impact?" (Demonstrate proactive insight generation and persuasive communication). Company & Culture Questions:

• "What do you know about Wolters Kluwer's work in the Tax & Accounting sector, and how do you see user research contributing to our AI initiatives?" (Shows company research and understanding of the role's context).

• "Our interview process emphasizes authenticity and avoiding AI assistance. How do you view the role of AI in research versus the human element of research and creativity?" (Directly addresses the company's stated value and probes your perspective).

• "How do you approach mentoring junior researchers or product team members on research best practices?" (Assesses leadership potential and team collaboration). Portfolio Presentation Strategy:

• Curate Wisely: Select 2-3 projects that best showcase your strategic impact, AI research experience, and proficiency in methodologies like JTBD and journey mapping.

• Quantify Impact: Whenever possible, use metrics to demonstrate the success of your research recommendations.

• Highlight Process: Clearly articulate your research process, from problem definition to insight generation and recommendation.

• AI Focus: Dedicate specific time to explaining your approach to AI-related research projects, including any tools or techniques used.

• Conciseness: Respect the allocated time for your presentation and Q&A. Practice to ensure clarity and flow.

📝 Enhancement Note: Interview preparation should heavily focus on demonstrating strategic thinking, a deep understanding of user research methodologies, and a clear grasp of AI's role in product development. Be prepared to discuss your experience with B2B environments and the specific context of Tax & Accounting if possible. Authenticity and genuine insight will be highly valued.

📌 Application Steps

To apply for this Senior User Researcher position:

• Submit your comprehensive resume and a cover letter through the Wolters Kluwer careers portal.

• Portfolio Customization: Prepare a portfolio that prominently features your most strategic research projects. Prioritize case studies demonstrating your experience with AI research, Jobs-to-be-Done, end-to-end user journeys, and workflow analysis highlighting automation opportunities. Ensure your portfolio clearly articulates the strategic impact of your work.

• Resume Optimization: Tailor your resume to highlight keywords from the job description, such as "User Research," "UX Strategy," "AI Literacy," "Jobs-to-be-Done," "Stakeholder Communication," and "B2B." Quantify your achievements and leadership experience.

• Interview Preparation: Practice articulating your research process, strategic thinking, and insights. Prepare specific examples for common interview questions, especially those related to AI research and influencing product decisions. Rehearse your portfolio presentation to ensure it is clear, concise, and impactful.

• Company Research: Familiarize yourself with Wolters Kluwer's products, particularly in the Netherlands Tax & Accounting sector, and their stated commitment to AI. Understand their company values and interview practices regarding authenticity.

⚠️ 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.