
Automotive manufacturer
Manufacturing Engineer - Strategy, Tech & Intelligence
필수 스킬
Excel
Project Management
As a Manufacturing Engineer – Strategy, Tech and Intelligence this pivotal, highly visible role sits within our Global Manufacturing Engineering Architecture, Program Engineering & Delivery (APD) department shaping future model programs to be leaders in the industry using the platform approach. The APD-Architecture & Strategy team acts on early insights with the Product Development (PD) team to optimize all aspects of new model production. As part of this team, you will interact directly with leadership to deliver the following as it relates to the three major Manufacturing functions of Body Construction Engineering, Global Paint Engineering, and Final Assembly Engineering.
Qualifications:
- Bachelor’s degree minimum with Engineering discipline preferred
- 3-5 years of vehicle assembly experience required
- Vehicle launch experience expected
- Practical assembly tooling implementation experience preferred
- Demonstrated Microsoft Office experience includes Word, Outlook, Excel and PowerPoint
- Experience conducting work in a virtual environment utilizing 3D tools required
- Established leadership and project management skills
- Strong verbal and written communication skills to present complicated concepts to an audience with a broad range of experiences
- Understanding of PFMEA and failure mode avoidance principles required
- Ability to deliver in stressful situations with self-motivation and minimal direct supervision within timing constraints
- Effective creativity to find solutions to unstructured or highly constrained problems
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 6 -8 and ranges from $72,480-162,120.
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.
Responsibilities:
- Develop manufacturing strategy, tech and/or competitive intelligence methodologies to support Platform Execution teams
- Contribute to library of manufacturing competitive intelligence
- Drive manufacturing point of view in developing new products and manufacturing strategy
- Update and maintain APD related procedures and lessons learned
- Drive a Design For Assembly (DFA) mindset into new model vehicle part development by regularly collaborating with the PD team to minimize facility & tooling impact, improve quality, and reduce labor requirements
- Utilize virtual tools, such as Active Workspace and Team Center, to evaluate the feasibility of new model designs for assembly
- Assess all product designs/concepts for adherence to our Global Manufacturing Requirements
- Evaluate "Lessons Learned" from New Model launches and implement Prevent Reoccurrence Actions into future programs
- Evaluate and assess competitive vehicle information i.e. benchmarking relative to manufacturing and processing of end item parts, sub-assemblies, and fastening/joining to determine incorporation on future product and develop next-generation ideas
- Collaborate in a multi-functional team of Program Delivery teams, Product Development, Marketing, Program Planning, Supplier Technical Assistance, Material Planning & Logistics, New Model Programs, etc. in early product planning workshops
- Travel to our North American assembly plants for site reviews as required
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Ford 소개

Ford
PublicThe 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+
직원 수
Dearborn
본사 위치
$48B
기업 가치
리뷰
10개 리뷰
3.7
10개 리뷰
워라밸
3.8
보상
4.2
문화
3.5
커리어
3.2
경영진
2.8
68%
지인 추천률
장점
Good benefits and compensation
Work-life balance and flexibility
Supportive colleagues and positive environment
단점
Poor management and communication
Limited career advancement
High workload and stress
연봉 정보
21개 데이터
Mid/L4
Senior/L5
Mid/L4 · ADAS Data Analytics Engineer
1개 리포트
$132,847
총 연봉
기본급
$102,190
주식
-
보너스
-
$132,847
$132,847
면접 후기
후기 3개
난이도
3.0
/ 5
소요 기간
14-28주
경험
긍정 0%
보통 67%
부정 33%
면접 과정
1
Application Review
2
Phone Screening
3
Technical Interview
4
Team Interview
5
Offer
자주 나오는 질문
Technical Knowledge
Behavioral/STAR
Past Experience
Coding/Algorithm
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