Senior Manager, Yield Management – GTM Advanced Analytics

Ford Motor Company

Senior Manager leading a high-performing team in AI/ML solutions for Yield Management at Ford. Transforming business processes through predictive forecasting and optimization.

Posted 6/17/2026full-timeDearborn • Missouri • 🇺🇸 United StatesSenior💰 $141,700 - $268,300 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDjangoFlaskGoogle Cloud PlatformPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Lead the design, validation, deployment, and monitoring of production-grade AI/ML solutions (e.g., predictive modeling, forecasting, optimization, and segmentation).
Lead the development, maintenance, and optimization of advanced demand sensing algorithms to support sales and operations planning (S&OP) and yield management.
Drive the strategic AI/ML roadmap, identifying innovative use cases—including Agentic AI for workflow automation—to deliver significant business value.
Foster a culture of rapid prototyping and rigorous testing to quickly validate the business utility of new AI/ML applications.
Evaluate and adopt emerging AI/ML platforms, frameworks, and methodologies to enhance solution efficiency, scalability, and performance.
Establish and enforce robust MLOps practices, model governance, version control, and comprehensive documentation to ensure seamless deployment and retraining.
Champion ethical AI principles, ensuring fairness, transparency, and data privacy are embedded across the model lifecycle.
Oversee data management practices (sourcing, cleaning, preprocessing) to ensure high-quality data pipelines for all AI/ML models.
Act as the primary liaison between technical teams and business stakeholders (Sales & Marketing, Finance, IT) to align AI/ML initiatives with corporate strategy.
Translate complex algorithmic concepts and technical outcomes into clear, actionable insights and recommendations for executive leadership.
Guide and mentor data scientists and AI/ML engineers in technical execution, professional growth, and stakeholder management.

Requirements

What you’ll need

Master’s in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, or a closely related quantitative field.
10+ years of progressive experience in AI/ML engineering or data science, with 3–5 years of experience directly leading and managing technical teams.
Proven experience building and deploying production-grade predictive models, time-series forecasting, and optimization algorithms.
Hands-on experience building and deploying Agentic AI solutions for complex workflow automation.
Advanced proficiency in Python and core ML libraries (e.g., PyTorch, TensorFlow, scikit-learn). Strong command of SQL.
Proven experience deploying and managing AI/ML workloads on cloud platforms (AWS, Azure, or GCP) using MLOps tools.
Experience developing user-facing applications or dashboards (e.g., Streamlit, Dash, Flask/Django) for model consumption.

Benefits

Comp & perks

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.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI/ML solutionspredictive modelingforecastingoptimization algorithmsAgentic AIMLOps practicesdata managementPythonSQLcore ML libraries

Soft Skills

leadershipmentoringcommunicationstakeholder managementstrategic thinkingcollaborationproblem-solvingrapid prototypingtestingtranslating complex concepts

Certifications

Master’s in Computer ScienceMaster’s in Artificial IntelligenceMaster’s in Machine LearningMaster’s in Data ScienceMaster’s in Statistics