Predictive Maintenance Operations Manager

Stellantis•Auburn Hills, MI

About The Position

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. The operation 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 to operate it making sure to reduce warranty costs, increase customer satisfaction and limit the disturbance of our customers.

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)

Nice To Haves

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

Responsibilities

Selecting the issues (failures) to be used for predictive maintenance (for which the predictive operations will save warranty spending and increase customer satisfaction)
Working with engineering experts across different commodities to understand if their top issues are candidates for predictive maintenance
Checking the pattern definition of the selected failures, the data collection relative to this failure and pattern
Supporting the teams building the algorithms of detection from a quality (business side)
Building the business case for the selected failure and prepare a decision to start the operations of predictive maintenance for this failure
Planning and operating the test phase, the ramp-up and the full operations for the selected failure
Monitoring the performance of the algorithms and the performance in the field (precision, recall, on-time….)
Monitoring the savings, the customer inconveniences, and related KPIs and propose to act on the operations when needed (stop, limit, revise criteria…)
Ensuring all stakeholders are align on the criteria, the messages, the communication channels, the operations at dealers with Brands, customer care, After-sales, quality, PDT…
Proposing decisions up to several millions € under the leadership of the program manager
Managing their activity, making necessary decisions within their responsibilities and in compliance with company operations
Ensuring a good coordination with all stakeholders
Reporting actions and results to Predictive Maintenance Project director
Coordinating team members in multiple entities to contribute to deploy predictive maintenance use cases (PDT Engineering, Quality, Aftersales, customer care, SWBU, AI & ICT teams, brands….)