Digital Transformation Project Manager, AI/ML Engineering Tools

Digital Transformation Project Manager, AI/ML Engineering Tools at Ford Motor Company

Are you ready to ignite your career and drive the future of automotive digital engineering? Ford Motor Company is seeking an ambitious Digital Transformation Project Manager, AI/ML Engineering Tools to lead the end-to-end delivery of cutting-edge AI and Machine Learning tool applications. In this role, you will bridge the gap between advanced data science and core engineering disciplines (MBSE, Requirements, and FMA). This is an unparalleled opportunity to be at the forefront of digital innovation, shaping how Ford designs and develops vehicles by delivering AI-driven solutions that automate complex engineering tasks, refine technical requirements, and streamline failure mode avoidance. If you possess a deep desire to revolutionize product development processes through AI, lead impactful digital transformations, and empower engineering teams with robust, intelligent tools, then join us and turn your passion into a tangible legacy.

Responsibilities

• 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.

Qualifications

• 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).

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

What Ford Offers

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

For more information on salary and benefits, click here: https://fordcareers.co/GSRSP1

This position is a range of salary grades 7-8.

Visa sponsorship is NOT available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.

Key skills/competency

• Project Management
• AI/ML Applications
• Digital Transformation
• Requirements Engineering
• MBSE (Model-Based Systems Engineering)
• FMA (Failure Mode Avoidance)
• Natural Language Processing (NLP)
• Agile Methodology
• Systems Engineering Tools (Teamcenter, 3DX)
• Change Management