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.

📌 Predictive Maintenance Data Science Manager (Winnipeg)
🏢 Bombardier
📍 Winnipeg