AI & Data Solutions Analyst - Technical Safety & Regulatory Compliance

Overview:

The AI & Data Solutions Analyst supports the Technical Safety and Regulatory Compliance (TSRC) organization by executing AI and data-driven initiatives that enhance safety investigations, regulatory reporting, and operational decision-making. This role combines data ownership, analytics execution, and AI use case delivery, acting as a key contributor in translating business needs into scalable AI and data solutions.

Key Responsibilities:

AI Use Case Delivery:

- Support identification, definition, and execution of AI use cases aligned with TSRC priorities

- Coordinate development, testing, and deployment of AI solutions

- Track adoption, usage, and business impact of AI initiatives

• Data Ownership & Governance:
  
  

- Ensure TSRC data is defined, structured, and compliant with governance standards

- Validate data quality and readiness for analytics and AI

- Document data sources, flows, and business rules

• Data Analysis & Reporting:
  
  

- Analyze safety and regulatory data to identify trends and insights

- Develop dashboards and reports (Power BI)

- Support data-driven decision-making across TSRC

• Process Automation:
  
  

- Develop solutions using Power Apps and Power Automate

- Identify and implement workflow automation opportunities

• Project Support:
  
  

- Manage assigned workstreams and deliverables

- Track timelines, risks, and project milestones

• Stakeholder Engagement:
  
  

- Collaborate with TSRC, ICT, and business stakeholders

- Support training and adoption of tools

Basic Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related field
• 7+ years of experience in data analytics or AI-related roles
• Experience with Power BI, Palantir, Power Apps, or Power Automate
• Strong analytical and problem-solving skills

Preferred Qualifications:

• Experience with AI tools or platforms
• Exposure to Python or SQL
• Experience in regulatory or compliance environment
• Experience with Microsoft Azure/Google Cloud Platform/Amazon Web Services
• Willingness to learn
• Analytical thinking and data-driven mindset
• Attention to detail and governance discipline
• Strong communicationand collaboration skills

Overview:

The AI & Data Solutions Analyst supports the Technical Safety and Regulatory Compliance (TSRC) organization by executing AI and data-driven initiatives that enhance safety investigations, regulatory reporting, and operational decision-making. This role combines data ownership, analytics execution, and AI use case delivery, acting as a key contributor in translating business needs into scalable AI and data solutions.

Key Responsibilities:

AI Use Case Delivery:

- Support identification, definition, and execution of AI use cases aligned with TSRC priorities

- Coordinate development, testing, and deployment of AI solutions

- Track adoption, usage, and business impact of AI initiatives

• Data Ownership & Governance:
  
  

- Ensure TSRC data is defined, structured, and compliant with governance standards

- Validate data quality and readiness for analytics and AI

- Document data sources, flows, and business rules

• Data Analysis & Reporting:
  
  

- Analyze safety and regulatory data to identify trends and insights

- Develop dashboards and reports (Power BI)

- Support data-driven decision-making across TSRC

• Process Automation:
  
  

- Develop solutions using Power Apps and Power Automate

- Identify and implement workflow automation opportunities

• Project Support:
  
  

- Manage assigned workstreams and deliverables

- Track timelines, risks, and project milestones

• Stakeholder Engagement:
  
  

- Collaborate with TSRC, ICT, and business stakeholders

- Support training and adoption of tools

At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.