Senior UX Researcher - Enterprise AI Adoption

Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment.

Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 9 times, most recently in 2026. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.”

Infinitive is seeking an experienced Senior UX Researcher – Enterprise AI Adoption & Workforce Transformation to support a large U.S. financial institution in accelerating the adoption and effective use of artificial intelligence across its workforce.

This role is focused on understanding how associates actually work, where they encounter friction, and how AI tools can help them become more effective, productive, and confident in their day-to-day responsibilities.

The ideal candidate is a highly curious, hands-on researcher who enjoys observing people in their working environments, asking thoughtful questions, facilitating discussions, and uncovering opportunities that may not be immediately obvious to users or leadership.

Working across multiple Lines of Business (LOBs), functions, and associate skill levels, you will conduct observational studies, interviews, focus groups, and usability assessments to understand how associates interact with existing processes, enterprise applications, and emerging AI capabilities.

You will go beyond collecting feedback. You will translate research findings into clear, prioritized, actionable recommendations that help technology, product, training, and change management teams improve the associate experience and accelerate the adoption of AI.

This is an opportunity to help shape how AI becomes a practical, trusted, and valuable part of everyday work at one of the country's largest financial institutions.

• Conduct hands-on observational research, including contextual inquiries, workflow shadowing, and task-based studies, to understand how associates perform their daily responsibilities.
• Identify repetitive activities, manual processes, information discovery challenges, knowledge gaps, and workflow inefficiencies that may present opportunities for AI-enabled improvements.
• Evaluate how associates currently use AI assistants, copilots, enterprise search, knowledge tools, and other available technologies.
• Understand variations in workflows, technology proficiency, and AI adoption across different LOBs, teams, and job functions.
• Distinguish between challenges that can be addressed through improved training, better tool capabilities, workflow redesign, or broader organizational changes.

• Design, organize, and facilitate focus groups, user interviews, workshops, and structured user studies across diverse associate populations.
• Engage associates ranging from AI beginners to experienced users to understand differences in needs, confidence, behaviors, and expectations.
• Create a comfortable, productive research environment that encourages candid feedback and surfaces unmet needs, frustrations, and practical opportunities.
• Conduct usability testing and task-based evaluations of AI tools, prototypes, and existing enterprise workflows.
• Develop surveys and qualitative research instruments to measure adoption barriers, associate sentiment, usability, confidence, and perceived value.
• Partner with LOB leaders and…