Discover Financial

Discover Financial

Lead, User Intelligence Research

New York, NY, USA · Part-time

No sponsorship$165k-$188kDetected 16 days ago
Data ScienceAgentic AIStatisticsAdobe XDCustomer SupportResearchLeadershipCommunicationCollaboration

About the role

  • The minimum and maximum full-time annual salaries for this role are listed below, by location.

Responsibilities

  • 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.
  • Support Continuous Discovery: Partner with research ops to enable product teams to access their users to maximize empathy and understanding.
  • 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.
  • Collaboration: Builds productive partnerships with Analysts, Design, Product, and Engineering
  • Collaboration: Builds productive partnerships with Analysts, Design, Product, and Engineering; seeks out diverse data sources to ensure a holistic view of the customer.
  • Lead, User Intelligence Research
  • Manager ( Individual contributor) delivering User Intelligence Research to support select product areas within a tower/domain
  • 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.
  • Partner with research ops to enable product teams to access their users to maximize empathy and understanding.

Requirements

  • 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
  • All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

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
  • 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.
  • Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
  • Incentives could be discretionary or non discretionary depending on the plan.
  • Learn more at the Capital One Careers website.

Compensation

  • The minimum and maximum full-time annual salaries for this role are listed below, by location.

Benefits

  • This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
  • Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
  • Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Equal opportunity

  • equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.

Visa & Work Authorization

  • At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

This listing is sourced directly from Discover Financial's careers page and normalized into a canonical job model.