We are looking for a candidate who loves a challenge and thrives in a fast-paced environment. You are the ideal candidate if:

• Creative Problem Solver: You look at a traditional process and immediately think, "How can technology make this better?"

• Collaborative: You enjoy working with diverse teams and have excellent communication skills.

• Resilient & Enthusiastic: You view difficult tasks as learning opportunities and maintain a positive attitude under pressure.

• Education: Bachelor’s degree in Engineering (Mechatronics, Systems, Industrial, Mechanical) or Computer Science.

• AI Proficiency: Demonstrated experience or strong familiarity with AI tools, Large Language Models (LLMs), and prompt engineering. Basic coding skills (Python/VBA) are highly desirable.

• Language: Professional proficiency in English (Written and Spoken) is mandatory.

• Analytical Mindset: You are comfortable working with large datasets (Excel, Power BI, Tableau).

1.

AI & Digital Transformation:

• Identify opportunities to integrate Generative AI and automation tools (e.g., Microsoft Copilot, ChatGPT Enterprise, Python scripts, Power Automate) into daily STA and Business Office workflows.

• Develop prompt engineering strategies to streamline reporting, data visualization, and technical documentation.

• Create dashboards and automated alerts to track Key Performance Indicators (KPIs) for supplier quality and launch readiness.

2. Supplier Technical Assistance (STA) Support:

• Collaborate with STA Site Engineers to understand supplier manufacturing issues and quality constraints.

• Assist in the root-cause analysis of technical problems using data-driven insights.

• Support the tracking of supplier capacity planning and program launch milestones.

3.

Business Office Collaboration:

• Support the Business Office in resource allocation analysis, budget tracking, and strategic planning presentations.

• Bridge the gap between technical engineering data and high-level business reporting.

• Participate in cross-functional meetings to capture requirements and propose innovative solutions for administrative bottlenecks.

4.

Continuous Learning & Improvement:

• Actively participate in training regarding Ford’s Global Quality Standards and Supply Chain processes.

• Maintain a "student mindset," constantly researching new AI trends and applying them to business scenarios.