Predictive Maintenance Project Manager

Stellantis•Auburn Hills, MI

About The Position

Within the framework of the Group's strategy and the objectives set by General Management, the Global Program manager organizes the Program for Predictive Maintenance to reduce warranty costs and increase customer satisfaction on a global scope. The overall objective is to build an operational Predictive Maintenance program; being able to predict product failures and use these predictions to reduce warranty costs and increase customer satisfaction. This involves building a cross-functional team to define and build the process and tools needed, starting the operations, and making the handover to the different stakeholders. The Program Manager operates under Quality leadership.

Requirements

Bachelor's degree in Engineering, Computer Science, Data Analytics, or related technical degree
10+ years of experience in product quality (quality in the field, troubleshooting, root cause analysis, recall & campaigns) or after-sales
Strong proficiency in Python, SQL, PySpark and visualization tools (e.g., Power BI, Foundry Workshop)
Experience in data project management
Strong communication skills in a cross-functional and international environment
Fluent English (written & spoken) required
Proven problem solving and analytics skills
Capability to review, understand and analyze data from a business analytics standpoint
Self-starter with ability to multi-task and take ownership of programs
Ability to work in a quickly evolving fast-paced environment
Excellent team building and facilitation skills
Excellent verbal and written communication skills
Solid understanding of statistics, exploratory data analysis, and applied machine learning
Experience working with large, complex datasets in enterprise environments
Ability to communicate analytical findings clearly to technical and non‑technical audiences
Proven experience delivering end‑to‑end analytics or data science solutions into production
Experience with one or two data and cloud platforms (e.g., Palantir Foundry. Snowflake, Databricks AWS, Azure, GCP)
Strong communication and stakeholder engagement skills

Nice To Haves

Advanced degree (Master's) in Business, Data Science, Statistics, Engineering, Computer Science, or related field
Experience in project/program management
Familiarity with data modeling, semantic layers, and enterprise data platforms
Industry experience in automotive and manufacturing
Exposure to MLOps concepts, model deployment, or monitoring
Hands-on experience with Palantir Foundry, Snowflake Intelligence
Experience in use of OTA data is a plus
Fluent in a second language desirable (French / Italian)

Responsibilities

Be responsible for the deliverables, budget and planning.
Coordinate the different stakeholders: Business Owners / Product managers for Quality, Project managers from PDT/AIDA, PS, ICT, PDT/SWBU.
Manage teams in their entity hierarchically or functionally, fostering a culture of goal achievement and results, maximizing collective interest, and respecting the defined strategy.
Cascade policies and expected results at all levels of their organization.
Set objectives, budgets, and control results.
Report to the VP, head of QUAL/QSWE/FTM.
Ensure detection of issues candidates for Predictive Maintenance.
Ensure the needed data is collected and cleaned.
Ensure the necessary algorithms to predict failures are in place.
Ensure the necessary tools to handle predictions, decisions of actions and traceability of operations are available.
Ensure the relevant tools and methods to contact the customers to deploy Predictive maintenance.
Ensure a robust process for all operations.
Manage a budget of several million euros.
Manage their activity, make necessary decisions within their responsibilities and in compliance with company operations.
Ensure compliance with the operating budget within the framework set by General Management.