On-siteQuality EngineerArtificial IntelligenceData Analysis
+2 more
ForecastingPerformance Management
At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with freedom of upward mobility as you strive to realize your professional dreams. We have incredible plans for our future and your future, too.
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
- 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.
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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.
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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.
FordMexico
LI-HC1
