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 roadmapsLead fleet reliability, health monitoring, and root cause investigationsGuide scalable, explainable predictive models and analytics solutionsDevelop Data Scientists, Engineers, and Reliability SpecialistsManage delivery,



performance indicators, budgets, and external partnershipsRequirements:
University degree in engineering, computer science, data science, or related fieldMinimum 10 years’ relevant aerospace, reliability, or data science experienceMinimum 5 years leading technical or multidisciplinary teamsExperience with aircraft systems, maintenance operations, or fleet performanceStrong strategic, communication, and stakeholder management skillsBring 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 (Winnipeg)
🏢 Bombardier
📍 Winnipeg