Senior Manager, Research & User Intelligence (card Platforms & Data)

Capital One Capital One · Banking · McLean, VA +2

This role focuses on accelerating learning velocity by defining and executing research programs that generate actionable insights to inform the creation of useful and usable solutions within Capital One's Card Platforms & Data team. The Senior Manager will conduct multi-method research studies with internal associates and customers, focusing on technical spaces and internal platforms. Responsibilities include optimizing user intelligence, leading rapid testing, managing continuous discovery, supporting UX measurement, and synthesizing data from various sources.

What you'd actually do

  1. Optimize and Scale 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’ planning and decision-making, while maintaining a high degree of governance and risk compliance.
  2. Prioritize and lead rapid testing within the product development lifecycle: Create 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. Manage and Maintain Continuous Discovery Programming: Drive collaboration with research ops to enable partner teams to access their users to maximize empathy and understanding.
  4. Support UX Measurement and Hypothesis-driven Design: Partner with CX, data scientists, analysts, and designers to identify and track 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 and Socialize Data Triangulation & Synthesis: Utilize behavioral analytics, quantitative data, and qualitative insights to produce actionable insights. Establish channels to socialize learnings to stakeholders in order to drive impact.

Skills

Required

  • User Experience Research
  • Data Science
  • Customer Experience Research
  • aggregating, collecting, and analyzing quantitative and qualitative data
  • autonomously leading multi-stakeholder projects or research programs

Nice to have

  • User Intelligence
  • Human Factors
  • behavioral data analysis
  • leading research in enterprise settings
  • leading small to medium teams of researchers
  • structured, quantitative jobs-to-be-done studies
  • AI tools (Gemini, Claude, NotebookLM) to accelerate insight creation
  • building automated research workflows with AI tools
  • triangulating multiple data sources (behavioral analytics, survey data, and primary research) to inform product roadmaps
  • Human Factors, HCI, Statistics, Data Science, or Behavioral Economics

What the JD emphasized

  • research agents and research platforms
  • AI tools (Gemini, Claude, NotebookLM) to accelerate insight creation
  • building automated research workflows with AI tools