Lead Ux Researcher

AT&T AT&T · Telecom · Dallas, TX +1

Lead UX Researcher role focused on understanding customer needs and driving product/experience decisions through research. The role involves both upstream discovery and downstream validation, with a focus on end-to-end customer experience analysis and insight activation. While the role uses AI tools, it does not involve building AI models.

What you'd actually do

  1. Lead and execute qualitative and mixed-method research across the product lifecycle (discovery through validation)
  2. Analyze and improve end-to-end customer experiences across channels, teams, and systems
  3. Translate research into clear, actionable recommendations tied to business decisions
  4. Conduct exploratory research to identify opportunity areas and unmet needs
  5. Use AI tools responsibly to accelerate research planning, synthesis, and analysis while maintaining integrity and quality

Skills

Required

  • Bachelor's degree or equivalent experience
  • 6+ years of experience in UX research, design research, or related field
  • Experience leading end-to-end research initiatives (discovery through validation)
  • Strong qualitative research skills (e.g., interviews, contextual inquiry, usability testing)
  • Ability to synthesize complex data into clear, actionable insights
  • Experience working cross-functionally with Product, Design, and Engineering teams

Nice to have

  • Experience with service design methods (e.g., journey mapping, service blueprints, ecosystem mapping)
  • Experience in complex, multi-channel environments (digital + assisted experiences)
  • Familiarity with operational systems, processes, and constraints
  • Experience incorporating quantitative data or analytics into research insights
  • Experience using AI tools to support research workflows and synthesis
  • Strong facilitation skills for cross-functional workshops and stakeholder alignment

What the JD emphasized

  • rigorous, pragmatic research
  • real customer needs
  • end-to-end mapping and service design methods
  • customer insights
  • operational reality
  • end-to-end research initiatives
  • complex, multi-channel environments
  • operational systems, processes, and constraints
  • AI tools responsibly