Job Description

Mission:

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.

Activities:

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. Build a cross-functional team to define and build the process and tools needed; start the operations and make the handover to the different stakeholders.

Under Quality leadership, the Program Manager:

• Will be responsible for the deliverables, budget and planning.
• Will 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
• Will report to the VP, head of QUAL/QSWE/FTM
• Deliverables of the project will include,
  • detection of issues candidates for Predictive Maintenance
  • Ensure we have the needed data collected and cleaned
  • Ensure we have the necessary algorithms to predict failures
  • Ensure we have the necessary tools to handle predictions, decisions of actions and traceability of operations
  • Ensure the relevant tools and methods to contact the customers to deploy Predictive maintenance.
  • Ensure we have a robust process for all operations.

Responsibilities:

Financial data: Manages a budget of several million euros.

Degree of autonomy:

• Manages their activity, makes necessary decisions within their responsibilities and in compliance with company operations
• Ensures compliance with the operating budget within the framework set by General Management

Qualifications

Basic Qualifications:

• 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

Preferred Qualifications:

• 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)