Aircraft Reliability Analytics Manager

Advance aircraft reliability analytics with Bombardier from its Administrative Centre in Canada. Lead fleet health monitoring, predictive models, and maintenance innovation. This Manager, Predictive Maintenance & Data Science role oversees initiatives improving aircraft reliability, dispatch availability, and maintenance effectiveness. You will lead data science, machine learning, engineering analytics, and predictive maintenance solutions. Collaboration spans Product Managers, Software Development, AHMS Engineering, Technical Services, and customer-facing specialists. Key Responsibilities:

Improve aircraft reliability, dispatch availability, and maintenance effectiveness Oversee fleet health monitoring and identify degradation patterns Ensure continuous improvement of reliability indicators and CMEs Collaborate on customer-facing Connected Aircraft digital capabilities Track operational outcomes, customer adoption, and business value Requirements:

Degree in aerospace, mechanical, systems, reliability engineering, or related discipline At least 10 years in aerospace, reliability, maintenance, or analytics At least 5 years leading technical or multidisciplinary teams Experience with aircraft health monitoring or reliability programs Ability to engage technical and business audiences Use fleet analytics, reliability engineering, and stakeholder leadership to strengthen Bombardier aircraft maintenance outcomes and connected capabilities.

#J-18808-Ljbffr