Supervisor-AI Specialist

Ford Motor • Dearborn, MI

7d • Hybrid

About The 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.

Requirements

• 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 (BigQuery) and model deployment (Vertex AI).
• 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 productionize analytics, including experience with APIs, microservices, and containerization
• Programming: Expert-level proficiency in Python (including pandas, scikit-learn, PyTorch/TensorFlow) and SQL

Nice To Haves

• Familiarity with infrastructure-as-code (Terraform) is a plus
• 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

Responsibilities

• 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

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager