Manager, Predictive Maintenance & Data Science

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 & Innovation
Define and execute the Connected Aircraft predictive maintenance strategy and capability roadmap aligned with business objectives and customer needs
Lead the evolution of condition-based and predictive maintenance capabilities across Bombardier's global fleet
Identify opportunities to leverage aircraft operational, maintenance, and health monitoring data to improve fleet performance and maintenance outcomes
Promote innovation through advanced analytics, artificial intelligence, and emerging technologies in support of Connected Aircraft solutions
Reliability Engineering & Fleet Analytics
Lead initiatives aimed at improving aircraft reliability, dispatch availability, and maintenance effectiveness
Oversee fleet health monitoring activities and identify emerging trends, degradation patterns, and operational risks
Guide reliability investigations and root cause analyses to support corrective actions and product improvements
Ensure development and continuous improvement of Condition Monitoring Events (CMEs), reliability indicators, and predictive maintenance methodologies
Data Science & Advanced Analytics
Lead teams responsible for data science, machine learning, engineering analytics, and predictive maintenance solutions
Promote the development and deployment of analytical models that generate actionable and operationally relevant insights
Ensure predictive models and analytics solutions are technically sound, explainable, scalable, and aligned with customer and business objectives
Collaborate with Data Platform and Software Development teams to industrialize and operationalize advanced analytics capabilities
Team Leadership & Execution
Lead and develop a multidisciplinary team including Data Scientists, Machine Learning Engineers, Data Engineers, Aircraft Reliability Specialists, and external partners
Define team objectives, monitor performance, and support employee development, engagement, and career growth
Recruit and develop capabilities aligned with long-term business and technology strategies
Foster a culture of innovation, collaboration, technical excellence, and continuous learning
Cross-functional Collaboration
Collaborate closely with Product Managers and Software Development teams to transform predictive maintenance concepts into customer-facing digital capabilities
Partner 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 solutions
Work with suppliers, engineering teams, and external research partners to advance predictive maintenance and reliability initiatives
Support customer engagement activities related to predictive maintenance solutions and fleet health management
Delivery Execution & Operational Impact
Ensure analytics initiatives and predictive maintenance capabilities are delivered on schedule and aligned with business priorities
Define and track key performance indicators related to fleet reliability, maintenance effectiveness, customer adoption, and business value
Monitor solution performance and continuously improve predictive maintenance capabilities based on operational feedback and measured outcomes
Manage team budget, resource allocation, external partnerships, and vendor relationships
How 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 field
Minimum of 10 years of experience in aerospace engineering, reliability engineering, predictive maintenance, data science, or related domains
Minimum of 5 years of experience leading technical or multidisciplinary teams
Experience working with aircraft systems, maintenance operations, reliability programs, fleet performance, or aircraft health monitoring solutions
Strong business and strategic mindset with the ability to translate technical capabilities into customer and business value
Strong communication and stakeholder management skills, with the ability to engage both technical and business audiences
Assets
Experience with Aircraft Health Monitoring Systems (AHMS) and Connected Aircraft technologies
Experience with machine learning, artificial intelligence, and advanced analytics solutions
Experience with condition-based maintenance, predictive maintenance, reliability analysis, or MSG-3 methodologies
Familiarity with cloud analytics platforms, Python, SQL, and modern data environments
Experience collaborating with research institutions, industry working groups, or innovation programs
Now that you can see yourself with the Bombardier Team!Opportunity Manager, Predictive Maintenance & Data Science
Primary Location Administrative Centre (CA)
Organization Aerospace Canada
Requisition
14646 Manager, Predictive Maintenance & Data Science
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