招聘
New Model Program Engineer, Vehicle and Powertrain Launch We are the movers of the world and the makers of the future. At Ford, we're all a part of something bigger than ourselves. In this position, The New Model Program Engineer plays a critical role in the successful launch of new vehicle and powertrain models within North America manufacturing plants. This position is responsible for the overall program management and delivery of new vehicle programs, ensuring successful execution across various phases including issue resolution, quality and status assessments, vehicle fleet management, and adherence to established budgets and timing.
Requirements:
- Proficient English (must send employee profile in ENGLISH to apply)
- Experience coordinating the activities of multiple plants / organizations and aligning Undergraduate degree in Engineering.
Masters in Engineering preferred:
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Manufacturing, design and/or program management, with Project management or launch experience
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Launch Standards Proficiency including a working level knowledge of the processes by which New Model Programs launches vehicle programs (i.e. LQOS, GPDS, FPS, etc.).
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Skilled in Word, Excel, PowerPoint, Access and Microsoft Project.
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Project management and/or launch experience.
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Experience with WERS and AIM required.
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Experience with 8-D and problem solving disciplines using statistical mindsets.
Responsibilities include on-site to deliver New Model Vehicle launches in the assigned plant on time, on cost and at the target quality levels. Assure that daily deployment of the on-site launch meeting cadence, all launch processes and standards are followed, and Management review documents are developed.
Key deliverables include, but are not limited to:
-Support the delivery of Launch at or below Budget.
-Support the delivery of Launch to the prescribed Build Event Timing delivering builds on time, at cost and with quality.
-Managing the Launch Teams transition to the plant.
-Responsible for facilities (desks, phones, copiers, conference rooms, diagnostic support) is in place to support the On Site Launch team
-Monitor the Automated Information System process for resolution of all issues that impact the launch, issues pended without resolution and aging metrics. Drive closure of issues as required.
-Support the NMP stake in the Change Control Process ensuring that changes that are required are approved and timed correctly for implementation.
-Managing Pre-Production Build Events
-Implement the Open to Go Process including the part pedigree process and final approval of all alerts required for parts not PPAP for the build events
-Coordinate the On Site Modification process matrix of modifications, work with the plant and suppliers to track part updates and monitor the plant draw down plan.
-Support the Plant Whiteboard process and ensure timely issue resolution.
-Managing Worldwide Engineering Release System. (WERS)
-Support the development of Risk Mitigation actions and prove out plans to support quality launch.
-Ensure the Meeting cadence for launch on site is operating.
-Coordination of all on going launch team activities including part sign off activities and shortage meeting in conjunction with the plant.
-Implement and prepare the NMP weekly Assessment report(s) including data entry, updating key metrics of the program health.
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关于Ford

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+
员工数
Dearborn
总部位置
$48B
企业估值
评价
3.3
10条评价
工作生活平衡
3.8
薪酬
3.5
企业文化
2.8
职业发展
2.2
管理层
2.5
45%
推荐给朋友
优点
Good benefits
Good work-life balance
Strong management support/respect
缺点
Poor/terrible management
Limited career growth opportunities
High turnover
薪资范围
21个数据点
Mid/L4
Senior/L5
Mid/L4 · ADAS Data Analytics Engineer
1份报告
$132,847
年薪总额
基本工资
$102,190
股票
-
奖金
-
$132,847
$132,847
面试经验
3次面试
难度
3.0
/ 5
时长
14-28周
体验
正面 0%
中性 67%
负面 33%
面试流程
1
Application Review
2
Phone Screening
3
Technical Interview
4
Team Interview
5
Offer
常见问题
Technical Knowledge
Behavioral/STAR
Past Experience
Coding/Algorithm
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