Senior Business Analyst – Customer AI Automation
United Airlines · Chicago, Illinois ·
- Seniority
- Senior
- Category
- Business analysis
- Visa sponsorship
- No
- Company size
- 1000+
- Salary
- USD 102,220 – 133,194 / year
United Airlines · Chicago, Illinois ·
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The Senior Business Analyst, Customer AI Automation partners with stakeholders to define AI automation requirements, design conversational and voice AI flows, analyze performance data, and drive adoption of scalable AI solutions for United's customer service channels using data analysis, Agile tools, and AI concepts.
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
Job Overview and Responsibilities
The Senior Business Analyst, Customer AI Automation, is responsible for advancing United's Retail AI automation capabilities through effective design and implementation of our vision. This role focuses on transforming customer service across voice, chat, and future channels by building scalable AI solutions that deliver fast, effortless resolutions and eliminate wait times.
Our Vision
We are giving our people the backup they have always deserved, so that when a customer needs a human, they get our best one, not our most exhausted one. That is the United we are building: one where technology handles the volume and our people own the "moments that matter." This is where we stop competing on routes and prices and start competing on trust.
This role partners across Digital Technology, Commercial, Customer Experience, Customer Service & Advocacy, and AI Engineering teams to ensure AI automation strategies are practical, scalable, and aligned with business objectives and customer needs.
AI Strategy & Requirements Definition
Customer Journey & Process Analysis
AI Solution Design & Implementation Support
Stakeholder Collaboration & Alignment
Data Analysis & Performance Optimization
Change Management & Adoption
Governance & Best Practices
What’s needed to succeed (Minimum Qualifications):
- Bachelor's degree required; Business Administration, Information Technology, Computer Science, or related major preferred.
- 3+ years of experience in business analysis, product management, or a related field.
- Strong understanding of customer service operations, contact center workflows, and customer journey mapping.
- Experience gathering and documenting business requirements and translating them into technical specifications.
- Ability to analyze data, identify trends, and derive actionable insights to drive business decisions.
- Familiarity with AI/ML concepts, conversational AI, or automation technologies.
- Strong analytical and problem-solving skills with the ability to translate business needs into practical, scalable solutions.
- Experience working with cross-functional partners across Technology, Operations, and Customer Experience to align solutions with business needs.
- Excellent communication skills with the ability to clearly articulate requirements, insights, and recommendations to technical and non-technical stakeholders.
- Proficiency with data analysis tools and techniques, including Excel, SQL, and data visualization tools.
- Proficiency with Agile/Scrum methodologies and product development lifecycle tools, including Jira and ADO.
- Must be legally authorized to work in the United States for any employer without sponsorship.
- Successful completion of interview required to meet job qualification.
- Reliable, punctual attendance is an essential function of the position.
What will help you propel from the pack (Preferred Qualifications):
- Master's degree in Business Administration, Computer Science, or a related field.
- Relevant certifications such as CBAP, PMI-PBA, or Agile/Scrum certifications.
- Hands-on experience with conversational AI platforms, chatbot design, or voice automation solutions.
- Experience with AI agent frameworks such as LangChain, LangGraph, or similar technologies.
- Familiarity with contact center platforms, IVR systems, and customer service technology.
- Experience implementing or supporting AI/Generative AI solutions in customer-facing environments.
- Knowledge of A/B testing methodologies, experimentation frameworks, and AI model evaluation.
- Understanding of responsible AI principles, AI governance, and bias mitigation strategies.
- Experience in the travel, retail, or e-commerce industry.
- Proficiency with business intelligence tools, including Tableau and Power BI, and advanced analytics.
- Understanding of how AI automation and human agent capabilities align to deliver optimal customer experiences.
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