Livonia, MI, US
Position Description:
In this position, you will be responsible for all in-house OEM prototype builds, and testing for Axle systems. All builds and testing for new axle systems within OEM occurs at the OEM's Automatic Transmission New Product Center (ATNPC), as well as outside testing vendor in the local SE Michigan area.
Responsibilities:
You will be responsible for leading the build events, coordinating all component timing, placing orders for parts, and working directly with the shop personnel for build timing. In addition, you will be responsible for maintaining axle system testing forecasts, coordinating test part delivery to the dyno area, keeping track of test status, and tracking post-test teardown progress for engineering sign-off.
Objectives:
Responsible for all in-house OEM prototype builds for Axle systems
Develop project plans for upcoming build events: Quantities, complexity, timing charts
Order parts through the OEM GPIRS system per the agreed plan
Work directly with Design and Release engineers and the supply base to coordinate timing of builds and build sign-offs for completion
Manage issue resolution, assign champions to open items, and track to completion
Maintain the Axle systems in-house testing forecast for all in-house programs; both short term and long-term forecasts
Support "Testing priorities" meeting to understand the test completion process
Collaborate with the in-house test team to ensure all tests are completed on time and help navigate any roadblocks
Take lead on organizing post-test parts for teardown review, and track the engineer's sign-off to completion
Skills Required:
Performance Testing
Experience Required:
Project Management experience required
Microsoft Excel, Project & PowerPoint skills
Experience with mechanical components, testing of parts, and build processes
Written and Verbal Communication Skills
Additional Information:
Position is fully on site in Livonia, MI.
Use of AI Technology:
Unless expressly authorized in the interview/skill set validation instructions, candidates may not use AI tools or other third-party assistance during an interview or assessment to generate or provide substantive answers to interview questions. Candidates should answer organically in their own words, drawing on their own knowledge, skills, and experience. Failure to adhere to these expectations may result in the candidate being removed from consideration.
