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Manufacturing Systems Deployment Engineer

Ford

Manufacturing Systems Deployment Engineer

Ford

Dearborn, MI, United States, US

·

On-site

·

Full-time

·

1w ago

As a Manufacturing Systems Deployment Engineer within the MET team, you will manage a portfolio of vehicle programs to determine and lead the strategy, adoption planning, communication, governance, and deployment of Ford’s digital manufacturing capabilities. You will leverage Ultimately managing deployment and training to ensure successful adoption by the manufacturing workforce as you work closely between the engineering requirements and software development teams.

  • Bachelor’s degree in Manufacturing Engineering, Industrial Engineering, Computer Science, or a related technical field.
  • Skilled in Siemens Teamcenter PLM software, including Active Work Space (AWC), NX, Easy Plan and/or Process Simulate.
  • 3+ years of experience in a manufacturing/engineering environment (automotive, aerospace, or heavy industry preferred).
  • Excellent problem-solving and analytical skills.
  • Strong verbal and written communication skills.
  • Ability to work independently and in a team environment.
  • Strong Project Management skills and results-oriented mindset.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

  • Immediate medical, dental, vision and prescription drug coverage
  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
  • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
  • Vehicle discount program for employees and family members and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
  • Paid time off and the option to purchase additional vacation time.

This position is a salary grade 8 and ranges from $99,100-$166,200.

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

For more information on salary and benefits, click here: https://fordcareers.co/GSR

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.

What you'll do...

  • Deployment Strategy and Implementation: Work closely with Software Requirements team and Program Managements teams to define the digital transformation PLM software deployment strategy and adoption plans for each Program Team. Orchestrate the full rollout of digital tools to Vehicle Program engineering and manufacturing sites. This includes creating technical documentation, determining Training needs of Program Team rosters and monitoring usage metrics to drive active adoption of the new technology.
  • Project Management: With a clear understanding of Program Timing, driving/anticipating Program Strategy and Requirements. Ensure timely delivery and consumption of tools to Programs through program milestones. Identify risks and collecting Lesson Learned from existing program teams. Provide ongoing technical and transformation support of PLM tools to Ford’s global manufacturing implementation teams.
  • Stakeholder Communication: Leverage knowledge of digital PLM software tools to act as the bridge between requirements development teams and manufacturing stakeholders, including engineers, plant personnel, and leadership—by clearly articulating software tool process and strategy to each Program team as well as feeding back Program team requirements and gaps to MET development teams.
  • Reporting: Process and System maps (Strategy vs Reality), Heatmaps of Adoption, KPI framework and Dashboards Track success of consumption of tools.

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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

Dearborn

Headquarters

$48B

Valuation

Reviews

3.3

10 reviews

Work-life balance

3.8

Compensation

3.5

Culture

2.7

Career

2.2

Management

2.4

45%

Recommend to a friend

Pros

Good benefits

Decent work-life balance

Remote work flexibility

Cons

Poor management quality

Limited career growth opportunities

High turnover rates

Salary Ranges

21 data points

Mid/L4

Senior/L5

Mid/L4 · ADAS Data Analytics Engineer

1 reports

$132,847

total per year

Base

$102,190

Stock

-

Bonus

-

$132,847

$132,847

Interview experience

3 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 67%

Negative 33%

Interview process

1

Application Review

2

Phone Screening

3

Technical Interview

4

Team Interview

5

Offer

Common questions

Technical Knowledge

Behavioral/STAR

Past Experience

Coding/Algorithm