Predictive Maintenance Operations Manager

Mission: The main target of the Predictive Maintenance program is to predict quality failures before they happen and act preventively. Using Predictive Maintenance for specific failures will lead to warranty costs reductions and customer satisfaction increase. This program will use huge amounts of data collected over the air from all connected vehicles and AI algorithms for predictions.

About the Role

The operations manager will be responsible for conducting the operations for one or more use cases. The overall objective is to build an operational Predictive Maintenance program and operate it to reduce warranty costs, increase customer satisfaction, and limit customer disturbance.

Responsibilities

• Select issues (failures) for predictive maintenance to save warranty spending and increase customer satisfaction.
• Work with engineering experts across different commodities to identify top issues as candidates for predictive maintenance.
• Check the pattern definition of selected failures, related data collection, and failure patterns.
• Support teams building detection algorithms from a quality and business perspective.
• Build the business case for selected failures and prepare decisions to start predictive maintenance operations.
• Plan and operate the test phase, ramp-up, and full operations for selected failures.
• Monitor algorithm performance (precision, recall, on-time) and field performance.
• Track savings, customer inconveniences, and related KPIs; propose operational adjustments as needed (stop, limit, revise criteria).
• Ensure alignment among all stakeholders on criteria, messaging, communication channels, and dealer operations (Brands, Customer Care, After-sales, Quality, PDT).
• Propose decisions involving financial data up to several million euros under the program manager’s leadership.

Degree of Autonomy

• Manage activity independently, making decisions within defined responsibilities and company compliance.
• Ensure coordination with all stakeholders.

Reporting

Reports actions and results to the Predictive Maintenance Project Director.

Work Relationships

Coordinate team members across multiple entities to deploy predictive maintenance use cases (PDT Engineering, Quality, Aftersales, Customer Care, SWBU, AI & ICT teams, Brands).

Requirements

• Bachelor's Degree in Engineering.
• 10+ years of experience in engineering or product quality (quality in the field, troubleshooting, root cause analysis, recall & campaigns).
• Strong communication skills.
• Able to work in a cross-functional and international environment.
• Fluent English (written & spoken).

Preferred Qualifications

• Master’s degree in engineering.
• Experience using OTA data or Connected Vehicle Services.
• International profile.
• Second language desired (French / Italian).

Benefits

• Comprehensive Health & Well-being Coverage: Medical, dental, vision, and prescription drug coverage from day one, plus an Employee Assistance Program (EAP) for personal and professional support.
• Family Building Benefit: Support for fertility and infertility treatments, adoption services, and gestational surrogacy.
• Generous Paid Time Off: 17+ paid holidays (including year-end shut-down), vacation, float & wellbeing days, sick time, and fully paid parental leave.
• Competitive Retirement Savings Plans: Employer match on 401k, Roth, and Catch-Up contributions, plus an employer contribution regardless of employee contributions.
• Income Protection & Insurance Options: Employer-provided and voluntary plans, including life insurance, group accident, and critical illness coverage.
• Company Vehicle Lease Program: Eligible employees and families can lease Stellantis vehicles with insurance, maintenance, and unlimited miles included, plus exclusive discounts on Stellantis products.
• Support for Growth and Giving Back: Tuition reimbursement, student loan refinancing programs, and 18 paid volunteer hours annually.