STA Site Engineer

Naucalpan de Juárez - Mexico

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Department:

Supply Chain

Job Summary

Description

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.

Responsibilities

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 Fords Global Quality Standards and Supply Chain processes.
Maintain a student mindset constantly researching new AI trends and applying them to business scenarios.

Qualifications

Education: Bachelors 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).

Required Experience:

DescriptionWe 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 betterCollaborative: You enjoy working with diverse te...

Description

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.

Responsibilities

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 Fords Global Quality Standards and Supply Chain processes.
Maintain a student mindset constantly researching new AI trends and applying them to business scenarios.

Qualifications

Education: Bachelors 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).

Required Experience:

Key Skills

Data Center Experience
Splunk
System Security Plans
Cybersecurity
Computer Networking
Nginx
Root cause Analysis
Windows
Apache
Visio
SSO
Troubleshooting

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