Responsibilities

• Analyze and monitor Days of Inventory on Hand (DOH/BOH), inventory turnover to achieve corporate and plant targets.
• Identify slow-moving, non-productive, excess, and obsolete inventory, identify root-cause, define and implement action plans.
• Support and partner with Plants to move forward with activities to optimize inventory.
• Utilize advanced analytics platforms (e.g., Lean DNA, BI dashboards) to proactively identify critical shortages and bottleneck suppliers before line disruptions occur.
• Collaborate with Material Planners, Follow-up teams to take actions based on data.
• Lead continuous review and dynamic adjustment of the Plan for Every Part (PFEP), including safety stock levels, minimum/maximum parameters, order intervals, and batch lot sizes.
• Apply Lean and FPS principles to eliminate waste in material flow and inventory, tracking KPI’s in our control centers.
• Participate in and lead Kaizen and structured problem-solving initiatives (8D, 5-Why, Fishbone) to address inventory discrepancies, record accuracy issues, defining, implementing, and following up on corrective action plans.
• Champion the adoption of digital inventory tools across the MP&L organization to foster data-driven decision-making.
• Develop, automate, and publish standard visual management reports (KPI dashboards) tracking parameter adherence and shortage risk trends.

Qualifications

• Bachelor’s degree in Industrial engineering, Supply Chain Management, Logistics, Data analytics or related technical field.
• 3+ years of experience in supply chain, material planning, inventory control, or logistics analysis.
• Knowledge of MRP/ERP logic and supply chain planning modules (SAP, CMMS/SMART, DDL, or equivalent).
• Advanced proficiency in Microsoft Office / Microsoft 365.
• Cross-functional collaboration and communication skills with a team-oriented mindset.
• Excellent structured problem-solving mindset.
• Strong verbal and written communication skills in English.

Preferred Qualifications

• Advanced proficiency in data analytics and data visualization tools (Microsoft Excel: Power Query/Pivot Tables; Power BI, QlikSense, SQL database querying, Python).
• Advanced Digital Tools: Direct hands-on experience with modern inventory optimization platforms and prescriptive supply chain software (e.g., Lean DNA, Blue Yonder, ML/AI).

Job Data by YubHub.

Quality is a critical part of successful vehicle development and launch. This Program Quality Engineer role will support vehicle-line quality delivery through robust analysis, forecasting, problem identification, and cross-functional quality leadership, with emphasis on new model program quality from early program milestones through launch readiness and ongoing quality performance.

Responsibilities

• Serve as a Quality Analytics and Business Process Subject Matter Expert responsible for supporting vehicle-line quality objectives through robust analysis, forecasting, and problem identification.
• Provide technical expertise in the measurement and performance management of key quality indicators, including early warranty performance, cost of quality, customer satisfaction, initial quality, reliability, and long-term warranty cost.
• Integrate insights from internal and external data sources to identify quality risks, quantify opportunities, and drive data-informed improvements.
• Serve as a recognized Subject Matter Expert for quality analytics, reporting methods, benchmarking approaches, and quality business processes.
• Provide data analysis and technical expertise to support the development and deployment of vehicle-line quality targets down to functional system and component levels.
• Lead part-level and system-level gap-to-target analysis to support program quality reviews, management reviews, and risk-based decision making.
• Lead and support lifecycle quality plans that bridge current and forward model quality, including quality deliverables from program start through final engineering completion and launch readiness.
• Support completion of program-intent quality assessments by reviewing documentation, participating in gate reviews, and escalating identified risks.
• Provide data and analysis to support launch scorecard quality assessments, launch quality deliverables, reliability workstreams, and new model quality readiness.
• Act as the plant-based lead for current model quality analysis, aging issue visibility, containment timing, issue escalation, and support of local quality issue resolution.

Qualifications

• Bachelor of Science degree in Engineering, Sciences, or a related technical field.
• Working knowledge of automotive quality tools, program quality processes, warranty analysis, issue management, and customer-quality survey data.
• Strong working-level experience with data analytics and the ability to convert data into clear quality insights, risks, and recommendations.
• Strong working-level experience with AI-enabled assistants and analytics tools to improve analysis, reporting, and quality decision support.
• Good presentation skills, including the ability to communicate quality performance, risks, and opportunities to plant, program, and quality stakeholders.
• Ability to effectively interface with cross-functional teams and support robust vehicle quality plans.

Preferred Requirements:

• Experience supporting or applying Program Quality Planning, quality status reporting, launch quality processes, issue tracking, structured problem solving, and quality analytics tools.
• Experience with warranty, reliability, cost, JD Power, Consumer Reports, or other customer-quality data sources.
• Experience supporting current model quality issue resolution, cross-functional quality action plans, plant-based quality escalation, and new model launch quality readiness.
• Training or demonstrated capability in product development processes, systems engineering, FMEA, design verification, production validation, strategic problem solving, and quality management principles.

Job Data by YubHub.