Predictive Maintenance & Analytics Manager
On-siteLas Vegas, Nevada, United States
Job Summary
Lead Allegiant's predictive maintenance and aircraft health monitoring strategy for the Airbus A320 and Boeing 737 fleets by establishing priorities, validating use cases, and directing the development of analytical applications and decision-support tools. Manage the Predictive Analytics team, oversee model governance, and ensure insights are integrated into Engineering, Maintenance Control, Reliability, and Supply Chain workflows to inform routing, maintenance planning, and operational protection. Develop business cases for technology investments, monitor program performance against alert accuracy and cost savings, and maintain strategic relationships with OEMs and industry groups. Requires a Bachelor's degree in a quantitative field, seven years of airline maintenance experience, and full US work authorization. Full-time role with comprehensive benefits including stock purchase plans and flight perks.
Required Qualifications
- Must be authorized to work in the US as defined by the Immigration Act of 1986
- Must pass a Criminal Background Check
- Bachelor's degree in Engineering, Data Science, Statistics, Business Analytics, Information Systems, Aviation Management, or a related quantitative or technical field
- Minimum seven (7) years of experience in airline maintenance, aircraft engineering, predictive maintenance, aircraft health monitoring, aviation analytics, or a related technical field
- demonstrated experience leading personnel, technical projects, or cross-functional programs
- Experience translating aircraft, maintenance, component, and operational data into actionable maintenance or engineering decisions
- Working knowledge of aircraft systems, airline maintenance processes, reliability programs, and continued airworthiness requirements
- Working knowledge of Python, SQL, statistical modeling, machine learning, and business intelligence platforms sufficient to direct technical development and evaluate analytical results
- Experience establishing program priorities, implementation roadmaps, performance measures, and business cases
- Ability to evaluate predictive alert performance, operational effectiveness, maintenance findings, and realized value
- Experience working with large datasets, reporting tools, and data visualization platforms
- Ability to lead multiple complex initiatives and manage competing operational priorities
- Strong strategic thinking, critical thinking, decision-making, and problem-solving skills
- Ability to proactively manage stakeholder expectations and influence outcomes across organizational levels
- Outstanding written, verbal, presentation, and executive communication skills
- Excellent attention to detail
- Exceptional reliability; punctual attendance is an essential function of the position
- Some travel may be a requirement of the role
Desired Qualifications
- Master's degree in Engineering, Data Science, Statistics, Aviation Management, or a related field
- Experience leading predictive maintenance or aircraft health monitoring programs in an airline, OEM, or MRO environment
- Experience with Skywise, aircraft health monitoring systems, Palantir Foundry, TRAX, or comparable maintenance and analytics platforms
- Working knowledge of Airbus A320 family and Boeing 737 family aircraft systems
- FAA Airframe and Powerplant certificate
- Experience working directly with aircraft OEMs, component manufacturers, technology providers, or regulatory authorities
- Experience integrating predictive insights into maintenance, engineering, reliability, supply chain, or operational workflows
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