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 effectiveness

Oversee fleet health monitoring and identify degradation patterns

Ensure continuous improvement of reliability indicators and CMEs





Collaborate on customer-facing Connected Aircraft digital capabilities

Track operational outcomes, customer adoption, and business value

Requirements

Degree in aerospace, mechanical, systems, reliability engineering, or related discipline

At least 10 years in aerospace, reliability, maintenance, or analytics

At least 5 years leading technical or multidisciplinary teams

Experience with aircraft health monitoring or reliability programs

Ability to engage technical and business audiences

Use fleet analytics, reliability engineering, and stakeholder leadership to strengthen Bombardier aircraft maintenance outcomes and connected capabilities.

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