Job Description

• Drive post-SORP launch performance improvement, with a target of achieving 100% of Mean Cycles Between Failures (MCBF) station targets by SORP + 6 months.
• Track the GPS ME Stand-Alone Good Throughput (SAGT) achievement glide path and timing plan for each program and site.
• Validate Powertrain Production Monitoring and Control (PTPM&C) functionality for accuracy, and execution status to support prioritized glide-path milestones.
• Track purchased station cycle-time performance and develop action plans with ME, MO, and OEM teams to achieve commitments.
• Strengthen the relationship between ME and MO by improving launch processes, standardized work, launch-wall routines, Plant Launch Operations Wall (PLOW), and launch deliverables.

Data-driven issue management

• Use Power BI, Databricks, PTPM&C, Q-DAS quality and statistical process control software, and related analytics tools to identify, visualize, and prioritize launch performance issues.
• Develop dashboards that collect, analyze, and track downtime, throughput, quality, scrap, First Time Quality (FTQ), and virtual manufacturing issues for each program and site.
• Establish daily and weekly Throughput Improvement Process (TIP) reviews for top issues and MCBF performance to drive prioritization, ownership, containment, root-cause analysis, and closure.
• Assign cross-functional owners and teams from ME, MO, and OEM partners to the highest-priority issues.
• Establish weekly launch-performance reviews with GM ME, MO, and key OEM leadership.
• Develop Artificial Intelligence (AI)-enabled systems for throughput data collection, analysis, and actionable insights.

Quality and manufacturing systems

• Identify and implement top scrap and FTQ improvements for each product family to improve product quality and reduce future warranty claims.
• Assess virtual manufacturing processes, inputs, status, and results across casting, fabrication, machining, assembly, and test systems.
• Partner with Virtual Manufacturing, Manufacturing Engineering, and Manufacturing Operations to investigate issues and propose improved manufacturing-system solutions.
• Create or update standardized work when process inefficiencies or execution gaps are identified.
• Train operations teams to sustain the TIP process throughout the program life cycle.

Culture and team leadership

• Create an employee experience in which team members can thrive and perform at their best.
• Strengthen a culture of accountability, collaboration, continuous improvement, and alignment with the Global Manufacturing System (GMS).
• Lead through changing priorities, operational disruption, and ambiguity while maintaining focus on safety, people, quality, responsiveness, and cost.

Your Skills and Abilities (Required Qualifications)

• Bachelor’s degree in Engineering, such as Mechanical, Controls, Industrial, Manufacturing, or a related field, or relevant experience in lieu of degree.
• Experience leading cross-functional problem solving in a manufacturing or plant environment.
• Demonstrated ability to lead across safety, people, quality, responsiveness, and cost priorities.
• Working knowledge of manufacturing systems, plant business processes, and continuous-improvement methods.
• Proven ability to identify issues, perform root-cause analysis, make decisions, and drive sustainable resolution.
• Strong oral and written communication skills, including the ability to communicate effectively with technical teams, operations leaders, and senior stakeholders.
• Ability to work effectively in a cross-functional, fast-paced team environment.
• High comfort with ambiguity, changing priorities, and developing new capabilities and standardized work.
• Strong interpersonal skills and the ability to influence without direct authority.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Bachelor’s degree in Industrial Engineering or a related engineering discipline.
• Experience with machining processes, equipment, and manufacturing systems.
• Experience with launch, manufacturing engineering, manufacturing operations, or plant performance improvement.
• Knowledge of the Theory of Constraints and experience identifying and resolving manufacturing bottlenecks.
• Ability to determine which equipment, process constraints, and performance losses have the greatest impact on throughput and launch performance.
• Strong troubleshooting skills with the ability to diagnose and resolve complex equipment and process issues.
• Experience using Power BI, Databricks, PTPM&C, Q-DAS, or similar manufacturing and data-analytics platforms.
• Familiarity with AI solutions and applications in manufacturing.
• Experience with Python and SQL for automation, data processing, or analytics.
• Experience processing and analyzing large datasets to enable root-cause analysis and operational decision-making.
• Experience with virtual manufacturing or manufacturing systems spanning casting, fabrication, machining, assembly, and test.

Work arrangement
This is an onsite role based at the assigned launch plant and requires 80% or more travel to support active launch programs. The primary work location may change based on current program and launch requirements.

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