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About the Role

This role serves as a cross-functional leader at the intersection of transportation operations, operations research, AI, and business strategy. You will partner with Operations, Technology, Product, Finance, and Executive Leadership to design and deploy analytics and AI solutions that improve service reliability, efficiency, and decision-making, while acting as the enterprise champion for Agentic AI adoption.

Responsibilities

• Co-create solutions with Operations and Planning leaders.
• Partner with IT, Data Engineering, and Platform teams on scalable cloud architectures.
• Collaborate with Product and Innovation teams on user-centric decision tools.
• Engage Finance and Procurement on cost, ROI, and optimization tradeoffs.
• Advise Executive Leadership on AI strategy, automation risk, and operational impact.
• Design and deploy operations research and analytics solutions for scheduling, fleet sizing, demand forecasting, and service reliability.
• Act as the cross-functional champion for Agentic AI, driving alignment across technical, operational, and leadership teams.
• Design agentic workflows that integrate planning, reasoning, optimization tools, and human-in-the-loop controls.
• Establish shared standards for governance, observability, safety, and accountability of agentic AI.
• Deliver solutions on Microsoft Fabric including OneLake, Lakehouses, Warehouses, and Power BI.
• Translate advances in operations research, machine learning, and reinforcement learning into operationalized solutions.
• Mentor data scientists, analysts, engineers, and operations staff to raise AI literacy.

Requirements

• Masters or PhD in Operations Research, Industrial Engineering, Transportation Engineering, Computer Science, Applied Mathematics, Statistics, or a related field.
• 7+ years of industry experience in transportation, logistics, mobility, or complex operational environments.
• Demonstrated success operating in highly cross-functional settings.
• Deep expertise in optimization, simulation, and statistical modeling combined with ML.
• Strong programming skills in Python.
• Experience integrating OR solvers and dashboards.
• Experience delivering solutions in cloud-based, enterprise environments.
• Exceptional communication and stakeholder-management skills.
• Experience leading or designing agentic AI systems across multiple teams or functions.
• Commitment to responsible AI deployment in safety, equity, and compliance-sensitive systems.

Skills

• Operations Research
• Artificial Intelligence
• Agentic AI
• Machine Learning
• Reinforcement Learning
• Python
• Microsoft Fabric
• Microsoft Azure
• Power BI
• Cloud Architecture
• Optimization Modeling
• Statistical Modeling

Experience Level

• 7+ years of industry experience

Education Level

• Masters or PhD in Operations Research, Industrial Engineering, Transportation Engineering, Computer Science, Applied Mathematics, Statistics, or a related field

About the Company

• MV Transportation

Equal Opportunity

• MV Transportation is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, physical or mental disability, veteran or military status, genetic information or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances.