Supervisor-AI Specialist

Job Title:

Risk Analytics Supervisor

We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

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...

• We are seeking a visionary and hands-on Risk Analytics Supervisor in our Auto Loan Originations Risk function.
• This is a dual-hat role requiring deep domain expertise in consumer auto credit risk and a robust technical command of modern AI/ML engineering and cloud ecosystems (specifically GCP).
• You will be responsible for incorporating AI/ML in Risk Analytics, and acting as the critical bridge between the Analytics, Risk business unit and IT/Engineering.
• Your primary responsibility is to architect, develop, and deploy next-generation AI-driven risk solutions directly into the our workflow, ensuring scalability, regulatory compliance, and measurable P&L impact.

What you'll do...

• Help to define and execute the long-term analytics roadmap for auto loan originations, balancing predictive accuracy, business profitability, and regulatory constraints
• Champion the adoption of responsible AI/ML to transform our workflow
• Foster a culture of scientific rigor, intellectual curiosity, and business acumen
• Establish best practices for code review, model documentation, and reproducible research
• Act as the primary liaison to IT and Engineering to design the data architecture and MLOps infrastructure required for real-time risk analytics
• Lead the optimization of risk models in modern platforms
• Evaluate and integrate other AI development platforms where appropriate
• Partner with IT for model deployment
• Develop the end-to-end lifecycle of AI solutions, from prototyping novel algorithms to production deployment
• Drive the development of explainable AI (XAI) frameworks to ensure model transparency for Fair Lending and regulatory audits
• Leverage alternative data sources
• Support rigorous model validation, back-testing, and stress-testing frameworks
• Translate complex model outputs into clear strategic narratives for the upper management

You'll have...

• Master's or PhD in Statistics, Computer Science, Operations Research, Econometrics, or a highly quantitative field
• 6+ years of progressive experience in quantitative risk analytics, with at least 1+ years in a leadership/people-management capacity specifically within auto lending or consumer finance
• Cloud Expertise:
  Deep, hands-on experience with Google Cloud Platform (GCP), including data warehousing (Big Query) and model deployment (Vertex AI). Familiarity with infrastructure-as-code (Terraform) is a plus
• Experience using AI tools to build solutions, e.g. AI tools for scorecard analytics, documentation intelligence, fraud detection.
• IT
  
  Collaboration:
  
  Demonstrated success in working alongside IT/Engineering to product ionize analytics, including experience with APIs, microservices, and containerization
• Programming:
  Expert-level proficiency in Python (including pandas, scikit-learn, PyTorch/Tensor Flow) and SQL

Even better, you may have...

• MLOps:
  Strong understanding of the ML lifecycle, feature stores, model monitoring (drift detection), and automated retraining pipelines
• Regulatory:
  Deep knowledge of fair lending regulations, ECOA, and model risk management guidelines
• Experience deploying Generative AI (LLMs) for synthetic data generation or automated credit memo summarization

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 change maker, 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…