IT Director, Decision Intelligence & AI-First Transformation

Director, Decision Intelligence And AI-First Transformation

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves?

Enterprise Technology plays a critical part in shaping the future of mobility. If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance customer experience and improve people's lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

In this position, are you a visionary leader with a passion for Artificial Intelligence and Machine Learning? Do you want to create a compelling technical vision and build a team with game-changing impact for Ford's global supply chain? We are seeking a dynamic and experienced technical leader to champion high-value opportunity identification and implementation of advanced analytics and AI enablers across Ford's global supply chain technology organization.

As the Director, Decision Intelligence and AI-First Transformation, you will define and drive the strategy, training, adoption of an AI-First Transition in order to improve efficiency of the product teams and accelerate delivery of solutions, while building a portfolio of opportunities to enable real-time decisions that optimizes operational cost, improved response to disruptions and optimize decisions in 'Supply Chain Execution' time horizon.

We're looking for a proactive leader with a "can-do" attitude, emotional resilience, and a smart work ethic, who is willing to "own" issues and drive results. If you're a motivated and action-oriented individual with a passion for delivering exceptional customer experiences, we encourage you to apply for this exciting opportunity.

Based in Dearborn, MI, this is a hybrid position with a required four-day onsite presence each week. Relocation assistance may be available for qualified candidates.

Responsibilities

What you'll do...

Leadership & Strategy

Own the development & execution of a comprehensive data-enabled decision intelligence strategy to optimize cost, quality & delivery performance across end-to-end supply chain.

Lead the development and implementation of AI / ML strategy to upskill teams and enable them to apply this technology to their day-to-day work to drive efficiency improvements and accelerate delivery.

Work closely with product teams and supply chain and logistics business partners to identify business enablement opportunities to prioritize AI / ML use cases.

Educate teams to adopt a pattern-based mindset regarding their work and how to apply AI / ML technology to those patterns.

Actively collaborate with other analytics and AI leaders across Ford's product development, Manufacturing and Quality domains.

Solution Development & Implementation

Oversee the design, development, and deployment of AI and Machine Learning solutions that optimize business processes, drive automation, and improve product quality.

Ensure our technology solutions align with Ford's enterprise architecture, data strategy and technology standards.

Ensure that projects are scalable, reliable, and integrated into existing IT systems.

Ensure that all AI / ML implementations comply with relevant laws, regulations, and ethical standards particularly regarding data privacy, fairness, and transparency.

Data Management

Champion the design and implementation of enterprise ontologies and knowledge graphs, enabling teams to cultivate deep domain data expertise, and orchestrate the successful training of advanced analytical and machine learning models on their curated data.

Work with product teams to ensure data quality, security, and accessibility for AI / ML model training.

Qualifications

You'll have...

Bachelor's degree in Supply Chain Management, Computer Science or equivalent combination of relevant education and experience.

10+ years of progressive responsibilities in Information Technology (IT) to include :

5+ years of experience solving business problems through delivering IT solutions in Supply Chain or ERP domains.

3+ years of experience with LLM models, Machine Learning (ML) & Generative AI (GenAI)

Even better, you may have...

Master's Degree in Supply Chain Management, Computer Science or related field.

Excellent verbal and written communication skills, with the ability to communicate effectively with all levels of management.

Strong interpersonal skills, demonstrating professionalism in all actions.

Good analytical skills, a process-driven work style, and the ability to think strategically.

Ability to develop detailed customer, IT, and data-driven process flows.

Strong team player with proven ability to work cross-functionally.

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!

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 builderor all the above? No matter what you choose, we offer a work life that works for you, including :

Immediate medical, dental, and prescription drug coverage

Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare 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.