Manager, Yield Management - GTM AA Data Scientist

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. What you’ll do Technical Execution & Team Leadership Hands‑on Team Leadership: Guide, mentor, and support a team of 4-6 AI/ML engineers and data scientists, overseeing daily stand‑ups, sprint planning, and code reviews. Model Development & Deployment Lead the hands‑on development, testing, and deployment of predictive models, time‑series forecasting, and optimization algorithms. Demand Sensing & S&OP Directly oversee the development, maintenance, and refinement of demand sensing algorithms to support sales and operations planning (S&OP) and optimize yield. Agentic AI Implementation Drive the practical integration and deployment of Agentic AI solutions to automate complex workflows and operational processes. MLOps, Quality & Governance MLOps & Pipelines Ensure the team builds robust, automated pipelines for data ingestion, model training, deployment, monitoring, and retraining in production environments. Code & Architecture Standards Establish and enforce best practices for clean code, model versioning, comprehensive documentation, and system scalability. Responsible AI & Data Quality Maintain rigorous standards for data integrity and model validation, ensuring all solutions adhere to ethical and responsible AI guidelines. Collaboration & Project Management Cross‑Functional Delivery Partner with product managers, software engineers, and business analysts to translate functional requirements into technical specifications. Progress Tracking Manage project timelines, unblock technical hurdles, and regularly communicate project status and technical milestones to the Senior Manager. You'll have Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, or a related quantitative field. 6-8+ years of progressive experience in AI/ML engineering or data science, with at least 1-3 years of experience formally leading or managing technical team members. Exceptional proficiency in Python and deep familiarity with ML/DL libraries (e.g., PyTorch, TensorFlow, scikit‑learn) and SQL. Proven experience deploying and maintaining ML models in production cloud environments (AWS, Azure, or GCP). Strong command of MLOps tools, version control (Git), and containerization technologies (e.g., Docker, Kubernetes). Hands‑on experience or strong conceptual understanding of Agentic AI frameworks and Large Language Model (LLM) orchestration. Even better, you may have Prior management consulting experience and/or extensive experience collaborating with third‑party consulting teams to deliver strategic projects. Direct experience in Yield Management, Revenue Management, Supply Chain, or S&OP within the automotive, manufacturing, or related industries. Experience with distributed computing frameworks (e.g., Spark) for large‑scale data processing. 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! 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 This position is leadership level 6 and ranges from $132,800-$250,800. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. For more information on salary and benefits: https://fordcareers.co/LL6 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. #J-18808-Ljbffr