Director, Digital & AI Consumer Engineering

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?

The Ford Motor Credit Company team helps put people behind the wheels of great Ford and Lincoln vehicles. By partnering with dealerships, we provide financing, personalized service and professional expertise to thousands of dealers and millions of customers in over one hundred countries around the world.

In this position... 

This leadership role will drive the development of AI-powered financial services platforms, e-commerce solutions, and sales enablement technologies. The ideal candidate combines technical expertise in e-commerce or sales capabilities with artificial intelligence/machine learning experience and proven engineering leadership. You will be responsible for building and scaling high-performing engineering teams while delivering innovative products that transform how customers interact with Ford Credit.

What you'll do...

Engineering Excellence & Technical Leadership:

• Champion engineering best practices including code quality, automated testing, continuous integration/deployment, and comprehensive monitoring and documentation across all development teams
• Engage in architecting scalable, secure, and high-performance systems capable of processing millions of transactions while maintaining sub-second response times
• Drive adoption of modern development methodologies, cloud-native architectures, and microservices patterns
• Lead development of AI-powered recommendation engines, personalization systems, and intelligent sales automation tools that drive customer engagement and revenue growth
• Stay current with emerging AI technologies and evaluate their potential application to financial services and e-commerce domains

 

Team Leadership & Organizational Development:

• Build, lead, and mentor multiple engineering managers and teams (25-35 engineers) including full-stack developers and quality assurance specialists
• Foster a culture of technical excellence, innovation, continuous learning, and collaborative problem-solving
• Establish clear career progression paths, implement effective performance management, and create mentorship programs that develop next-generation technical leaders with teams and with peers
• Ensure delivery of high-quality, scalable software products that meet aggressive timelines while maintaining rigorous quality standards

Strategic Stakeholder Partnership:

• Partner with executive leadership, Product, Sales, Marketing, and Customer Care teams to drive strategy and align engineering efforts with business objectives and revenue goals
• Translate complex digital and AI engineering concepts into clear business value propositions for non-technical stakeholders
• Manage stakeholder expectations while advocating for technical investments and engineering resources necessary for long-term success
• Present technical roadmaps, progress updates, and strategic recommendations to executive leadership and board members

You'll have...

• Bachelor's in Computer Science, Engineering, Machine Learning, or related technical field, or comparable industry experience or equivalent combination of relevant education and experience.
• 10+ years of progressive software engineering experience with 5+ years in engineering leadership roles managing multiple teams.
• Expertise in cloud platforms (AWS, Azure, GCP), containerization, microservices, API design, and DevOps practices.
• Experience building secure, compliant financial applications with knowledge of payment processing, fraud detection, and regulatory requirements.

 

Even better, you may have...

• Master's degree in Computer Science, Engineering, Machine Learning, or related technical field.
• Proven track record of scaling engineering organizations and delivering complex products in fast-paced, ambiguous environments.
• Exceptional communication skills with ability to influence cross-functional teams and present to executive audiences.
• Experience with agile methodologies, project management, and balancing technical debt with feature delivery.
• Strong analytical and problem-solving skills with data-driven decision-making approach.
• Experience with specific AI applications such as recommendation systems, natural language processing, computer vision, or reinforcement learning; alternatively, expertise in AI platforms (Gemini, Cresta, etc.) is a plus.
• Knowledge of banking, insur