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Capital One’s Experience Design (XD) organization is focused on co-creating memorable, meaningful customer and associate experiences that build our brand with humanity and drive business advantage. 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.
Job Responsibility:
Plan and conduct connected studies and establish data acquisition mechanisms that contribute to a collective body of user intelligence
Utilize and evolve research agents and research platforms to accelerate learning velocity
Partner with research ops to enable product teams to access their users
Partner with CX, data scientists, analysts, and designers to identify domain-specific UX metrics
Utilize behavioral analytics, quantitative data, and qualitative insights to produce actionable insights
Requirements:
At least 3 years of professional experience in User Experience Research, Data Science, and/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
Nice to have:
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, and/or Behavioral Economics
What we offer:
Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits