Manufacturing Program Manager – Software and Diagnostics
Ford Motor Company
CloudERPIoT
Manufacturing Program Manager, Software & Diagnostics
Ford Motor Company
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteJob Level
SeniorLead
Tech Stack
CloudERPIoT
About the role
- Lead development, implementation, and management of advanced digital tools and testing strategies for Ford's next-generation EV product line.
- Partner with engineering and technical teams building full-stack applications for global EV manufacturing plants and develop technology roadmaps.
- Oversee projects related to digital software, advanced test system development, automation, budgets, schedules, and cross-functional deliverables for new EV programs.
- Manage deployment and integration of digital manufacturing tools (MES, IoT sensors, data analytics) and ensure data flow between OT (plant-floor controls, PLCs) and IT (ERP, cloud platforms).
- Apply AI/ML to create intelligent manufacturing systems and oversee software frameworks for electric propulsion, inverter control, sensor management, and fault detection.
- Design, develop, and implement advanced automated and manual test systems, focusing on EOL test stations for high-voltage battery systems and electric drive units.
- Implement advanced diagnostic software and infrastructure, lead prognostics development for HV batteries, analyze test data and yield metrics to drive corrective actions.
- Champion continuous improvement initiatives using Lean and Six Sigma, leverage testing and diagnostic data to improve OEE, reduce scrap, and drive innovation.
Requirements
- Bachelor’s degree in a relevant engineering (e.g., Electrical, Computer, Mechanical, Manufacturing, etc) or a Computer Science field.
- Significant experience, often 7-10+ years’ experience in manufacturing engineering, with hands-on expertise in software development, test engineering, and diagnostics, specifically within the automotive industry, preferably with EV programs.
- Proven experience leading the development and deployment of manufacturing software solutions, including integrating plant-floor controls with cloud-based intelligence.
- Preferred: Master’s degree in a relevant engineering or Computer Science field.
- Preferred: Familiarity with test automation frameworks, data acquisition systems, and enterprise systems (MES, ERP), as well as experience with AI/ML applications in manufacturing.
- Preferred: Demonstrated leadership skills with the ability to manage, mentor, and develop diverse technical teams, including those focused on hardware, firmware, and software.
- Preferred: Strong understanding of EV architectures, high-voltage battery systems, electric propulsion, and associated diagnostic and testing challenges.
- Preferred: Excellent problem-solving, analytical, communication, and project management skills.
