Global Supply Chain Risk AI​/Analytics

About Stellantis:

Stellantis is a leading global automaker and mobility provider committed to shaping the future of transportation through innovation, sustainability, and operational excellence. Our teams work across regions and functions to deliver safe, high-quality vehicles and technologies to customers worldwide.

The Global Advanced Supply Delivery Risk Management (GDRM) team strengthens Stellantis’ global supply chain by identifying emerging risks, developing predictive insights, and enabling proactive mitigation strategies. The team partners closely with Purchasing, Supply Chain, Engineering, Finance, and leadership to ensure continuity across a complex global supplier network.

The Analyst will support the development of data-driven risk insights by leveraging analytics tools, automation, and emerging technologies. This role is ideal for candidates with strong technical aptitude who are eager to apply artificial intelligence, Power BI, and automated data solutions to accelerate reporting, improve data quality, and enhance early detection of supply base risks.

• Analyze supplier performance, capacity, and geopolitical exposure using internal systems and external data sources
• Build, maintain, and enhance Power BI dashboards to visualize risk indicators, track trends, and improve speed-to-report
• Support the development and application of AI-enabled tools, scripts, or models to automate data collection, cleansing, and risk scoring
• Identify opportunities to streamline manual processes through automation and system optimization
• Contribute to early-warning systems that detect emerging supplier risks before they impact production
• Prepare clear, concise reports and presentations for leadership and internal stakeholders
• Assist in crisis response activities by gathering data, validating information, and supporting mitigation planning
• Support continuous improvement initiatives focused on data integrity, reporting accuracy, and digital tool enhancement

• Hands-on experience applying AI and automation to global supply chain challenges
• Ownership of dashboards and analytics tools used by leadership for decision-making
• Exposure to high-impact risk mitigation initiatives across Stellantis’ global supply base
• Opportunities for professional development and growth within a global mobility and technology company

• Bachelor’s degree in Supply Chain Management, Business, Finance, Industrial Engineering, Data Analytics, Information Systems, or related field
• 3 + years of experience or coursework in Power BI, Python, SQL, R, or similar analytical tools
• Strong technical aptitude with the ability to learn and navigate complex systems quickly
• Interest in applying AI, machine learning concepts, or automation to real-world business problems
• Ability to interpret large datasets and translate insights into actionable recommendations
• Strong communication skills and comfort working across functions and time zones
• Curiosity, initiative, and a desire to innovate within supply chain risk management