Lead, User Intelligence Research

Capital One Capital One · Banking · New York, NY +2

Lead User Intelligence Research to support product areas, focusing on building cumulative user intelligence by executing a structured, systems-oriented human intelligence system. This involves planning and conducting research studies, utilizing AI agents/skills, and enabling human access platforms for discovery, testing, and assessment of user experiences.

What you'd actually do

  1. Build Cumulative User Intelligence: Plan and conduct connected studies and establish data acquisition mechanisms that contribute to a collective body of user intelligence that fuels product teams’ ongoing planning and decision-making.
  2. Provide rapid testing within the product development lifecycle: Utilize and evolve research agents and research platforms to accelerate learning velocity: extracting insights from existing intelligence repositories, conducting rapid discovery, concept, content, and usability testing.
  3. Support Continuous Discovery: Partner with research ops to enable product teams to access their users to maximize empathy and understanding.
  4. Support UX Measurement: Partner with CX, data scientists, analysts, and designers to identify domain-specific UX metrics. Assist in developing mechanisms to collect/measure UX metrics, conduct analysis using UX and other metrics to identify critical correlations between user behavior and business success.
  5. Conduct Data Triangulation & Synthesis: Utilize behavioral analytics, quantitative data, and qualitative insights to produce actionable insights.

Skills

Required

  • Professional experience in User Experience Research, Data Science, or Customer Experience Research
  • Aggregating, collecting, and analyzing quantitative and qualitative data
  • Leading complex, multi-stakeholder projects or research programs

Nice to have

  • User Intelligence, Human Factors, or behavioral data analysis
  • Conducting structured, quantitative jobs to be done studies
  • Building automated research workflows
  • 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

What the JD emphasized

  • structured, systems-oriented human intelligence system
  • structured, connected research efforts
  • cumulative user intelligence
  • AI agents/skills
  • human access platforms
  • structured, quantitative jobs to be done studies
  • automated research workflows
  • triangulating multiple data sources

Other signals

  • AI agents/skills
  • human access platforms
  • structured, connected research efforts
  • cumulative user intelligence