Manager, Predictive Maintenance & Data Science
Summary
Lead a team to develop and deploy predictive maintenance models for aircraft fleets, improving reliability and dispatch availability using ML and operational health data.
- Collaborate on analytics industrialization
- Collaborate with product managers
- Collaborate with software development teams
- Conduct root cause analysis
- Continuously improve models
- Coordinate with field service representatives
- Define predictive maintenance strategy
- Deploy analytical models
- Develop condition monitoring events
- Develop predictive maintenance methodologies
- Develop reliability indicators
- Ensure model explainability
- Ensure model scalability
- Execute capability roadmap
- Foster innovation and continuous learning
- Identify degradation trends
- Improve aircraft reliability
- Improve dispatch availability
- Integrate operational needs into analytics
- Lead condition based and predictive maintenance evolution
- Lead data science machine learning engineering analytics
- Lead multidisciplinary team
- Leverage operational maintenance health data
- Manage budget and resources
- Manage vendor relationships
- Measure KPIs for reliability and maintenance
- Monitor solution performance
- Monitor team performance
- Oversee fleet health monitoring
- Partner with engineering and technical services
- Perform reliability investigations
- Promote predictive maintenance innovation
- Recruit and develop team capabilities
- Set team objectives
- Support employee development