Predictive Maintenance & Analytics Transformation Specialist

Job Description:

We are seeking a highly skilled Predictive Maintenance Specialist with strong expertise in Aircraft Systems Data Analytics and Artificial Intelligence (AI). The ideal candidate will drive the development and implementation of predictive maintenance models and data-driven solutions to enhance aircraft reliability reduce unscheduled downtime and optimize maintenance operations.

The candidate will join Health Management and Predictive Analytic team.

The analytics approach can have several applications such as the anticipation of the failure of an aircraft component the diagnosis of a failure that has already occurred what is the triggering process detect an anomaly in the system predict the life time of a component find the root cause of a failure optimize troubleshooting tasks etc.

Main responsabilities

• Drive the design develop and deploy predictive maintenance models to anticipate aircraft component failures and optimize maintenance schedules.
• Establish and maintain data integrity requirements to ensure the data set needed to feed the predictive maintenance models.
• Participate in defining the certification basis for CBM applications ensuring compliance with aviation authorities and alignmentwith safety and reliabilityobjectives
• Integrate and analyze flight data health monitoring system (HMS) outputs sensor data and maintenance logs.
• Collaborate with avionics propulsion and airframe engineering teams to interpret system behaviors and identify degradation patterns.
• Develop dashboards KPIs and data pipelines for real-time maintenance insights.
• Implement data preprocessing feature engineering and anomaly detection methods.
• Lead the validation and continuous improvement of predictive algorithms in operational environments.
• Support digital twin and reliability-centered maintenance (RCM) initiatives.
• Ensure compliance with aviation standards in predictive maintenance applications.
• Communicate technical findings to non-technical stakeholders through clear visualizations and reports.
• Analysis of the aircraft problems also from a Systems Engineering point of view: it is important to understand the operation of the system and the possible contributions to system failures.
• Documentation preparation and exposition of presentations to show and communicate the model development process and the results obtained graphically and visually.

This job requires an awareness of any potential compliance risks and a commitment to act with integrity as the foundation for the Companys success reputation and sustainable growth.

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