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

📌 Aircraft Reliability Analytics Manager (Quebec City)
🏢 Bombardier
📍 Quebec City