Jobs · Information Technology · Virginia

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

Capital One · Richmond, VA · 1 wk ago
Information Technology$201k–$229k/yrFull-time

Overview

The Card Platforms & Data team is seeking a Senior Manager of Design Research to join our highly collaborative and multidisciplinary team of designers, product managers, analysts, and technologists. This individual contributor role is expected to provide a human-centered lens to a largely technical problem space by conducting multi-method research studies with both internal associates and customers.

Role Expectations

  • 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.
  • 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.
  • Manage and Maintain Continuous Discovery Programming: Drive collaboration with research ops to enable partner teams to access their users to maximize empathy and understanding.
  • 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.
  • 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.

Leadership Competencies

  • Problem Solving: Designs scalable frameworks and vision-backed learning agendas to prioritize high-impact problems across multiple domains; leverages technical and data fluency to navigate complex trade-offs and drive innovative, customer-centric solutions that maximize business value
  • Judgment: Prioritizes high-leverage opportunities and eliminates duplicative work to scale impact across the organization; guides teams through ambiguity with empathy while maintaining focus on clear business priorities and consistent delivery
  • Influence: Acts as a trusted strategic advisor, leveraging deep expertise and cross-functional partnerships to influence senior-level decision-making and drive the adoption of human-centered strategies in service of high-stakes business outcomes
  • Teamwork: Collaborates broadly, and contributes regularly to internal knowledge platforms and events; proactively and effectively aligns work to business needs, focusing on shared goals over their own agenda
  • Communication: Translates complex data and behavioral findings into compelling narratives for senior stakeholders; ensures clarity in two-way dialogue across functions

Basic Qualifications

  • At least 4 years of professional experience in User Experience Research, Data Science, or Customer Experience Research
  • At least 4 years of experience aggregating, collecting, and analyzing quantitative and qualitative data
  • At least 3 years of experience autonomously leading multi-stakeholder projects or research programs

Preferred Qualifications

  • 5+ years of experience in User Intelligence, Human Factors, or behavioral data analysis
  • Background in leading research in enterprise settings
  • History of leading small to medium teams of researchers
  • Experience conducting structured, quantitative jobs-to-be-done studies
  • Experience leveraging AI tools (Gemini, Claude, NotebookLM) to accelerate insight creation
  • Experience building automated research workflows with AI tools
  • 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

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