✦ Luna Orbit — AI & Machine Learning

CX Research & Modeling Analyst

at Global Payments

📍 9 Locations Hybrid 💰 $50K – $60K USD / year Posted April 18, 2026
Salary $50K – $60K USD / year
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category AI & Machine Learning

Global Payments is expanding its Voice of the Customer (VoC) capabilities through an AI enterprise text analytics program in Qualtrics Engage / XM Discover. The CX Research & Modeling Analyst will design and optimize text analytics models that convert unstructured feedback into organized, accurate, actionable insights.

  • Create design and optimization of text analytics models in Qualtrics Engage / XM Discover
  • Build scalable frameworks across business units for consistency in VoC
  • Develop and maintain rulebased topic models and taxonomy structures
  • Use NLP and machine learning to produce sentiment, effort, emotion, and tagging standards
  • Partner with CX researchers and business stakeholders to support VoC insights improvements

You will build and maintain text analytics models using natural language processing (NLP) and machine learning, including rulebased topic modeling, taxonomy development, and sentiment intelligence. The technical scope is centered on Qualtrics Engage / Qualtrics XM Discover with consistent tagging structures and standards across business units.

The ideal candidate is a mid-level analyst who can own and architect an AI enterprise text analytics program using Qualtrics Engage / XM Discover. They have strong natural language processing (NLP) and machine learning experience building rulebased topic models, taxonomy structures, and sentiment intelligence to organize unstructured customer feedback into actionable insights. They collaborate effectively with CX researchers, analysts, and business stakeholders.

technical owner and architect of AI enterprise text analytics program within Qualtrics Engage / XM Discovernatural language processing (NLP)machine learningdesign and optimization of text analytics models in Qualtrics Engage / XM Discoverrulebased topic modelingtaxonomy developmentsentimenteffortemotionand tagging standardswork closely with CX researchersanalystsand business stakeholders
Qualtrics EngageQualtrics XM Discover
Voice of the Customer (VoC)Qualtrics EngageQualtrics XM Discovernatural language processing (NLP)machine learningrulebased topic modelingtaxonomy developmentsentiment intelligencetext analytics modelstagging structurescustomer feedback analysis
Voice of the Customer (VoC)Qualtrics EngageQualtrics XM Discovernatural language processing (NLP)machine learningrulebased topic modelingtaxonomy developmentsentiment analysiseffortemotiontagging standardstext analytics modelsmultiline business frameworksAI enterprise text analytics program
technical ownerarchitectcross-functional collaborationcommunication with business stakeholdersorganizational skillscustomer-focused problem solvingcontinuous improvement
Industry Fintech
Job Function Architect and own AI-powered customer feedback text analytics for Voice of the Customer (VoC) in Qualtrics
Role Subtype Data Scientist
Tech Domains AI & Machine Learning, Qualtrics
Visa Sponsorship No
CX Research & Modeling AnalystVoice of the Customer (VoC)VoCQualtrics EngageQualtrics XM Discovernatural language processing (NLP)NLPmachine learningtext analytics modelsrulebased topic modelingtaxonomy developmentsentiment intelligencesentimenteffortemotiontagging structurestagging standardscustomer feedbackunstructured customer feedbackAI enterprise text analytics programXM Discoverenterprise text analytics

US Citizen or Green Card Holder (no sponsorship, including OPT), Must be able to work a hybrid role with 3 days in office at a Global Payments location in the U.S.

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