UX Researcher
Wolters Kluwer
Location
🇺🇸 Kennesaw, United States
Type
full_time
Salary
Undisclosed
Posted
3w ago
Job Description
Senior CX/UX Researcher (AI-First Innovation for Tax & Accounting) – Hybrid We are seeking an experienced and strategic Senior CX/UX Research Consultant to join our CX/UX team in Wolters Kluwer Tax & Accounting North America. In this role, you will report to the Manager, CX/UX Research and serve as a thought leader, driving advanced research initiatives and playing a key role in defining the future of tax and accounting workflows by transforming user insights into actionable recommendations. Hybrid: Eight days a month we come together at the closest office within 50 miles. Potential office preferences nationwide. NOTE: A portfolio is not required; however, sharing a past project to articulate your ability to scope research and communicate findings to drive business impact is expected during the interview process.
Required Qualifications
Bachelor's Degree in a relevant discipline (Design, HCI, Behavioral Sciences, or related field) or equivalent experience with advanced UX certification or training. Master’s degree preferred. 5+ years in a User Research role for digital solutions, with demonstrated leadership in research planning and execution. Advanced research planning: design and lead complex, multi-phase studies aligned with business and product strategy. Data analysis: advanced skills in analyzing qualitative and quantitative user data. Report writing: ability to prepare sophisticated, clear, and persuasive research reports tailored to stakeholders, including executives. Presentation skills: expertise in presenting research findings to diverse audiences from cross-functional teams. Cross-functional leadership: influence and collaborate effectively with designers, product managers, engineers and other disciplines to implement research insights. Strong working knowledge of AI, agentic workflows and their application in user research and product development. Experience evaluating emerging user interaction patterns and with AI and Agentic solutions to