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Digital transformation Ford Champ

Ford

Digital transformation Ford Champ

Ford

Naucalpan de Juarez, MEX, Mexico, MX

·

On-site

·

Full-time

·

3w ago

Ford Champs looks forward to providing you with key knowledge and significant experiences for your professional career.  This is a great platform to connect with leadership, collaborate with professionals in many areas of the business and learn more about our Ford full time opportunities. Throughout this program, there are many opportunities to gain insight and exposure to our business that will last a lifetime.

Ford Champs will allow to get to now different business areas through 12 to 24 months, while you improve your skills and become a better professional.

As a Trainee in the Digital Innovation area, you will be responsible for learning and applying emerging technologies to support the Digital Transformation of Product Development (PD). Your role will involve collaborating with the Digital Transformation team and engineering stakeholders to identify inefficiencies, analyze data, and assist in the development of innovative solutions (AI, Automation, and Data Analytics) that enhance our engineering software tools (such as Teamcenter, FEDE, and VSEM).
 

Innovation & Development:
•    2 days onsite GTBC Ford México (Naucalpan, México)

•    Support the identification of opportunities for process automation and AI-driven improvements within the engineering design environment.
•    Participate in the testing and evaluation of new digital tools and software releases.

Data Analysis & Visualization:
•    Analyze and manipulate data from various sources (e.g., Teamcenter, Excel) to identify trends and process bottlenecks.
•    Assist in visualizing data and interpreting results to support decision-making for the Digital Transformation leadership.
•    Create and maintain dashboards or reports to track the performance of digital initiatives.

Process & Collaboration:
•    Actively listen to users’ concerns and feedback to understand "pain points" in current engineering processes.
•    Collaborate with Engineers and Subject Matter Experts (SMEs) to document user stories and technical requirements.
•    Support the development of project plans and document user interactions/resolutions.
•    Participate in communicating results and technical concepts to different audiences (technical and non-technical).
 

•    Active student from any of the last 2 semesters of Bachelor student of Computer Engineering, Data science, Mechatronic or Aeronautical Engineering, or similar technical discipline. 

•  90% English skills (Oral, reading, writing, and listening).
•  Microsoft Office knowledge (Word, Excel, PowerPoint).
•    Proficiency in data analysis and data manipulation.
Desired Skills:
•    Strong analytical and problem-solving skills with an aptitude for quickly grasping technical challenges.
•    Ability to work independently and collaboratively in a fast-paced, dynamic environment.
•    Energetic, passionate problem solver with a "can-do" attitude.
•    Excellent communication skills, with the ability to explain complex data results clearly.
 

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About Ford

Ford

Ford

Public

The Ford Motor Company is an American multinational automobile manufacturer headquartered in Dearborn, Michigan, United States. It was founded by Henry Ford and incorporated on June 16, 1903.

10,001+

Employees

Naucalpan de Juarez

Headquarters

$48B

Valuation

Reviews

3.4

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.9

Management

2.3

45%

Recommend to a Friend

Pros

Good pay and benefits

Decent work-life balance options

Learning and advancement opportunities

Cons

Poor management and favoritism

Mandatory overtime and exhausting schedules

Limited growth opportunities

Salary Ranges

36 data points

Mid/L4

Senior/L5

Mid/L4 · ADAS Data Analytics Engineer

1 reports

$132,847

total / year

Base

$102,190

Stock

-

Bonus

-

$132,847

$132,847

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

40%

Experience

Positive 40%

Neutral 40%

Negative 20%

Interview Process

1

Phone Screen

2

Technical Interview

3

Behavioral Interview

4

Final Round Interview

Common Questions

Behavioral

Technical

Assessment