Advance aircraft reliability analytics with Bombardier from its Administrative Centre in Canada. Lead fleet health monitoring, predictive models, and maintenance innovation.
This Manager, Predictive Maintenance & Data Science role oversees initiatives improving aircraft reliability, dispatch availability, and maintenance effectiveness. You will lead data science, machine learning, engineering analytics, and predictive maintenance solutions. Collaboration spans Product Managers, Software Development, AHMS Engineering, Technical Services, and customer-facing specialists.

Key Responsibilities

Improve aircraft reliability, dispatch availability,



and maintenance effectivenessOversee fleet health monitoring and identify degradation patternsEnsure continuous improvement of reliability indicators and CMEsCollaborate on customer-facing Connected Aircraft digital capabilitiesTrack operational outcomes, customer adoption, and business valueRequirements:
Degree in aerospace, mechanical, systems, reliability engineering, or related disciplineAt least 10 years in aerospace, reliability, maintenance, or analyticsAt least 5 years leading technical or multidisciplinary teamsExperience with aircraft health monitoring or reliability programsAbility to engage technical and business audiencesUse fleet analytics, reliability engineering, and stakeholder leadership to strengthen Bombardier aircraft maintenance outcomes and connected capabilities.

📌 Aircraft Reliability Analytics Manager (Canada)
🏢 Bombardier
📍 Canada