Ford Motor Company

Digital Transformation Project Manager – AI/ML Engineering Tools

Ford Motor Company

full-time

Posted on:

Location Type: Hybrid

Location: Dearborn • Missouri • United States

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About the role

  • End-to-End AI Product Delivery: Lead the project management lifecycle for AI/ML applications, from initial concept and requirement gathering to deployment and global scaling within the Digitalization and Transformation department.
  • Domain-Driven AI Development: Apply deep subject matter expertise in Requirements Engineering, MBSE, and FMA to guide the development of AI tools, ensuring they adhere to industry standards (e.g., EARS, INCOSE, SAE J1739).
  • Lead Intelligent Search & Retrieval Projects: Deliver AI solutions that provide instant access to critical data, regulatory information, and program live-data, integrating guides for enterprise tools like FEDE and 3DX to improve engineering efficiency.
  • Drive NLP & Requirements Refinement Tools: Manage the development of AI-driven "refactoring" tools that use Natural Language Processing to ensure engineering requirements are compliant, concise, and seamlessly integrated with tools like FEDE WB, Jama, and MagicDraw.
  • Automate FMA Workflows: Lead the delivery of generative AI tools designed to automate Failure Mode Avoidance, transforming boundary diagrams into SysML models or optimized DFMEAs to reduce manual effort and ensure consistency.
  • Agile Product Leadership: Work with IT matched-pair product teams and data scientists to specify AI tool functionalities, prioritize the product backlog, and manage delivery within an Agile framework.
  • D&R Integration & Deployment: Ensure AI tools are practical for the Design and Release (D&R) engineering community, managing the rollout and implementation of these tools into active vehicle programs.
  • Change Management & Training: Develop tool documentation and lead training sessions to help functional engineering teams transition from manual processes to AI-augmented workflows.

Requirements

  • BS in Engineering is required.
  • 5+ years of experience in Product Development, specifically within Design and Release (D&R) or Systems Engineering.
  • Proven Project Management experience leading technical software or digital tool implementations from inception to launch.
  • Strong foundational knowledge in MBSE (SysML), Requirements Management, and FMA processes.
  • Experience with industry-standard tools: Siemens Teamcenter (FEDE), CatiaMagic (Cameo), and/or Dassault 3DX.
  • Demonstrated interest or experience in AI/ML applications (e.g., Large Language Models, NLP, or Data Automation) as applied to engineering problems.
  • Strong interpersonal skills with the ability to translate complex engineering needs into technical requirements for AI developers.
  • Strong verbal and written communication skills for presenting digital strategies to leadership.
  • Proficient in Microsoft Office tools and Agile management software (e.g., Jira, ADO).
Benefits
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Hard Skills & Tools
AI product deliveryRequirements EngineeringModel-Based Systems Engineering (MBSE)Failure Mode Avoidance (FMA)Natural Language Processing (NLP)Agile product managementSysMLRequirements ManagementData AutomationLarge Language Models
Soft Skills
project managementinterpersonal skillscommunication skillstraining and developmentchange managementtechnical requirements translationleadershipcollaborationproblem-solvingprioritization
Certifications
BS in Engineering