Manager, Yield Management - Gtm Aa Data Scientist

Ford Ford · Auto · Dearborn, MI +1 · Global Data Insight & Analytics

Manager of AI/ML Solutions leading a team of 4-6 data scientists and AI/ML engineers to design, build, and deploy production-grade AI/ML models for predictive demand forecasting, dynamic segmentation, and yield optimization. The role emphasizes hands-on leadership, MLOps, responsible AI, and the integration of Agentic AI solutions.

What you'd actually do

  1. Hands-on Team Leadership: Guide, mentor, and support a team of 4–6 AI/ML engineers and data scientists, overseeing daily standups, sprint planning, and code reviews.
  2. Model Development & Deployment: Lead the hands-on development, testing, and deployment of predictive models, time-series forecasting, and optimization algorithms.
  3. 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.
  4. Agentic AI Implementation: Drive the practical integration and deployment of Agentic AI solutions to automate complex workflows and operational processes.
  5. MLOps & Pipelines: Ensure the team builds robust, automated pipelines for data ingestion, model training, deployment, monitoring, and retraining in production environments.

Skills

Required

  • Python
  • PyTorch
  • TensorFlow
  • scikit-learn
  • SQL
  • AWS
  • Azure
  • GCP
  • Git
  • Docker
  • Kubernetes
  • Agentic AI frameworks
  • LLM orchestration

Nice to have

  • management consulting
  • Yield Management
  • Revenue Management
  • Supply Chain
  • S&OP
  • Spark

What the JD emphasized

  • formally leading or managing technical team members
  • Agentic AI frameworks
  • Large Language Model (LLM) orchestration

Other signals

  • leading a team
  • production-grade AI/ML models
  • MLOps practices
  • Agentic AI implementation
  • demand forecasting
  • yield optimization