Manager, Predictive Maintenance & Data ScienceWhy join us?At Bombardier, we design, build and maintain the world's peak-performing aircraft for the world's most discerning people and businesses, governments and militaries. We have been successful in setting the highest standards by putting our people at the heart of it all, and defining excellence, together.Providing services to Bombardier means operating at the highest level. Every day, you are part of a team that delivers superior experiences and products, pushing the boundaries of what's possible in our industry and beyond. By prioritizing continuous growth and development, we empower everyone to reach their full potential on their own terms, because the greatest results happens when you are free to be yourself and share your unique expertise.What are your contributions to the team?Predictive Maintenance Strategy & InnovationDefine and execute the Connected Aircraft predictive maintenance strategy and capability roadmap aligned with business objectives and customer needsLead the evolution of condition-based and predictive maintenance capabilities across Bombardier's global fleetIdentify opportunities to leverage aircraft operational, maintenance, and health monitoring data to improve fleet performance and maintenance outcomesPromote innovation through advanced analytics, artificial intelligence, and emerging technologies in support of Connected Aircraft solutionsReliability Engineering & Fleet AnalyticsLead initiatives aimed at improving aircraft reliability, dispatch availability, and maintenance effectivenessOversee fleet health monitoring activities and identify emerging trends, degradation patterns, and operational risksGuide reliability investigations and root cause analyses to support corrective actions and product improvementsEnsure development and continuous improvement of Condition Monitoring Events (CMEs), reliability indicators, and predictive maintenance methodologiesData Science & Advanced AnalyticsLead teams responsible for data science, machine learning, engineering analytics,



and predictive maintenance solutionsPromote the development and deployment of analytical models that generate actionable and operationally relevant insights---sorry, keep contentEnsure predictive models and analytics solutions are technically sound, explainable, scalable, and aligned with customer and business objectivesCollaborate with Data Platform and Software Development teams to industrialize and operationalize advanced analytics capabilitiesTeam Leadership & ExecutionLead and develop a multidisciplinary team including Data Scientists, Machine Learning Engineers, Data Engineers, Aircraft Reliability Specialists, and external partnersDefine team objectives, monitor performance, and support employee development, engagement, and career growthRecruit and develop capabilities aligned with long‐term business and technology strategiesFoster a culture of innovation, collaboration, technical excellence, and continuous learningCross‐functional CollaborationCollaborate closely with Product Managers and Software Development teams to transform predictive maintenance concepts into customer‐facing digital capabilitiesPartner with AHMS Engineering, Technical Services, Customer Response Center (CRC), Field Service Representatives (FSRs), and aircraft systems specialists to ensure operational needs are reflected in analytics solutionsWork with suppliers, engineering teams,



and external research partners to advance predictive maintenance and reliability initiativesSupport customer engagement activities related to predictive maintenance solutions and fleet health managementDelivery Execution & Operational ImpactEnsure analytics initiatives and predictive maintenance capabilities are delivered on schedule and aligned with business prioritiesDefine and track key performance indicators related to fleet reliability, maintenance effectiveness, customer adoption, and business valueMonitor solution performance and continuously improve predictive maintenance capabilities based on operational feedback and measured outcomesManage team budget, resource allocation, external partnerships, and vendor relationshipsHow to thrive in this role?As our ideal candidate, you have:University degree in Aerospace Engineering, Mechanical Engineering, Systems Engineering, Reliability Engineering, Computer Science, Data Science, or a related fieldMinimum of 10 years of experience in aerospace engineering, reliability engineering, predictive maintenance, data science, or related domainsMinimum of 5 years of experience leading technical or multidisciplinary teamsExperience working with aircraft systems, maintenance operations, reliability programs, fleet performance, or aircraft health monitoring solutionsStrong business and strategic mindset with the ability to translate technical capabilities into customer and business valueStrong communication and stakeholder management skills, with the ability to engage both technical and business audiencesAssetsExperience with Aircraft Health Monitoring Systems (AHMS) and Connected Aircraft technologiesExperience with machine learning, artificial intelligence, and advanced analytics solutionsExperience with condition-based maintenance, predictive maintenance, reliability analysis, or MSG‐3 methodologiesFamiliarity with cloud analytics platforms, Python, SQL, and modern data environmentsExperience collaborating with research institutions, industry working groups, or innovation programsNow that you can see yourself with the Bombardier Team!Chance Manager, Predictive Maintenance & Data SciencePrimary Location Administrative Centre (CA)Organization Aerospace CanadaRequisition 14646 Manager, Predictive Maintenance & Data Science #J-18808-Ljbffr

📌 Manager, Predictive Maintenance & Data Science (Dorval)
🏢 Bombardier Transportation
📍 Dorval