Lead, User Intelligence Research
Richmond, VAAll locationsRichmond, VANew York, NYMcLean, VA Hybrid
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About the role
As the User Intelligence Research Lead for your product areas, you will be responsible for accelerating learning velocity by supporting a structured, systems-oriented human intelligence system. You will execute the Research organization’s vision: shifting from discrete, episodic UX studies to structured, connected research efforts to build cumulative user intelligence. You will plan and conduct research studies, utilize AI agents/skills, and enable human access platforms to support discovery, rapid testing, and assessment of user experiences. This is a high-level individual contributor role that requires a mastery of project leadership, technical fluency, business acumen, and the ability to produce actionable insights and encourage activation to ensure the development of useful and usable experiences.
What you'll bring
- At least 3 years of professional experience in User Experience Research, Data Science, or Customer Experience Research
- At least 3 years of experience aggregating, collecting, and analyzing quantitative and qualitative data
- At least 2 years of experience leading complex, multi-stakeholder projects or research programs
- 4+ years of experience in User Intelligence, Human Factors, or behavioral data analysis.
- Experience conducting structured, quantitative jobs to be done studies
- Experience building automated research workflows
- Proven track record of triangulating multiple data sources (behavioral analytics, survey data, and primary research) to inform product roadmaps.
- Advanced degree in Human Factors, HCI, Statistics, Data Science, or Behavioral Economics.
- At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
- The minimum and maximum full-time annual salaries for this role are listed below, by location.
- Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting.
- Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.