Director, User Experience Research – Experience Design (XD)

Expedia•Chicago, NY

22h•Hybrid

About The Position

Expedia Group's Product Team builds high-quality, end-to-end experiences for travelers, partners, and Expedia Group itself. Our customer-first mindset drives the products we build — the kind that earn loyalty and repeat business — and we partner closely across the company to turn that loyalty into growth. Our Experience Design (XD) Research team sits at the center of that work. We bring clarity, curiosity, and connection to complex problems, translating human behavior and motivation — and increasingly, how people experience AI — into insight that shapes the future of travel. We challenge assumptions, ask the right questions, and stay close to the human experience even as the tools we use to understand it keep evolving. We're looking for a Research Director to lead the vision, strategy, and execution of research across our Partner Tools portfolio — spanning Hotel and Vacation Rental Partner Experiences, APIs, and Partner Advertising, from established products to the newest AI-powered, agentic experiences we're building today. This is a player/coach role for someone who wants to lead a small, senior team of researchers while staying hands-on with the work itself. You'll partner closely with engineering, design, and product to make sure research is a necessary component in the vision and execution of our partner facing tools. You'll hold both ends of the research spectrum at once: deep human understanding through methodological craft, and the technical fluency to guide how we evaluate agentic and non-deterministic product experiences as they emerge. You'll thrive in this role if you find as much satisfaction in developing another researcher's career as you do in uncovering a pivotal customer insight, if you're comfortable working shoulder-to-shoulder with engineers, and if you're energized by the pace at which AI is changing what and how we research.

Requirements

15+ years of relevant professional experience without an advanced degree, or 5–10 years with a suitable advanced degree; or equivalent related professional experience.
Bachelor’s or advanced degree in Human-Computer Interaction, Psychology, Anthropology, Cognitive Science, or a related field; or equivalent related professional experience.
Demonstrated expertise in qualitative research methodologies and integrating AI into research planning, execution, or delivery.
Proven experience leading and developing high-performing research teams across multiple locations and career levels.
Demonstrated ability to influence senior stakeholders and translate research insights into strategic, business-impactful decisions.
Experience building and scaling research programs across complex, multidisciplinary organizations and diverse product domains, ideally including specific experience in B2B.

Nice To Haves

Master's degree or PhD in Human-Computer Interaction (HCI), Computer Science, Statistics, Psychology, or a related field — or equivalent professional experience.
A track record of working in close, day-to-day partnership with engineering — e.g., embedded in agile/scrum teams, contributing to technical scoping, or evaluating AI/ML model behavior directly alongside engineers.
Experience researching B2B tools, APIs, or advertising/monetization products.
Specific, demonstrable examples of creating research artifacts and workflows with AI platforms such as Cursor, Claude, GPT, or comparable tools.
Demonstrated ability to safely integrate and operate AI/ML-enabled solutions that improve research outcomes while maintaining methodological rigor.
Experience establishing scalable research practices for AI tools, products, and systems, including evaluating their impact on human behavior and customer experiences.

Responsibilities

Define and lead the research strategy across our Partner Tools portfolio.
Operate as a player/coach for a small, senior research team — setting strategy and craft standards while remaining directly involved in research execution.
Partner closely with engineering, design, product, and data science teams, to translate partner insights into strategic, business-impactful decisions.
Champion rigorous, AI-informed research methodologies, and bring direct, hands-on examples of how you've integrated AI tools into your own research workflow, from planning through synthesis.
Build scalable research frameworks and reusable insight systems that create durable value across a complex, multidisciplinary organization.
Integrate qualitative and quantitative research to combine behavioral data with human-centered depth and deliver complete partner insights.