Lead predictive maintenance and data science strategy at Bombardier’s Administrative Centre in Canada. Shape aircraft reliability through analytics and machine learning.
As Manager, Predictive Maintenance & Data Science, you will guide Connected Aircraft capabilities across Bombardier’s global fleet. The role combines reliability engineering, fleet analytics, artificial intelligence, and machine learning. You will translate technical capabilities into customer and business value while developing multidisciplinary expertise.
Key Responsibilities: Define Connected Aircraft predictive maintenance strategy and capability roadmaps
Lead fleet reliability, health monitoring, and root cause investigations
Guide scalable, explainable predictive models and analytics solutions
Develop Data Scientists, Engineers, and Reliability Specialists
Manage delivery,



performance indicators, budgets, and external partnerships
Requirements: University degree in engineering, computer science, data science, or related field
Minimum 10 years’ relevant aerospace, reliability, or data science experience
Minimum 5 years leading technical or multidisciplinary teams
Experience with aircraft systems, maintenance operations, or fleet performance
Solid strategic, communication, and stakeholder management skills
Bring aerospace reliability, predictive maintenance, and data science leadership to Bombardier’s Connected Aircraft initiatives and global fleet.

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📌 Predictive Maintenance Data Science Manager (Quebec City)
🏢 Bombardier
📍 Quebec City