(USA) Senior Manager - AI & Automation (Last Mile Demand & Supply Planning)

Walmart • Bentonville, AR

6d

About The Position

In Walmart’s Last-Mile Delivery team, we’re building intelligent systems that combine real-time data, AI agents, and scalable platforms to power our delivery infrastructure. Spark Driver—our largest last-mile network—now spans all 50 states, reaches over 94% of U.S. households, and plays a pivotal role in Walmart’s eCommerce growth by enabling fast, flexible, and cost-effective fulfillment. We are seeking a Sr. Manager of AI & Automation - Last Mile Delivery Planning to lead the development of intelligent, data-driven supply and demand planning systems that balance driver supply with fulfillment demand for 52 weeks outlook—at massive scale. You will build and refine AI-led automation that leverage ML to predict driver supply and demand while balancing supply and demand via advanced planning engine to optimize last-mile profitability, fulfillment speed, on-time delivery, and driver experience.

Requirements

• 6+ years of experience in applied AL/ML, supply & demand planning, last mile optimization, tech product management for supply chain planning systems.
• Strong problem-solving skills and ability to translate data into operational impact.
• Proficiency in SQL and data visualization tools (e.g., Tableau).
• Experience collaborating across product, operations, and technical teams.
• Effective communicator with an ability to explain complex ideas to non-technical audiences.
• Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.
• Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field.
• 7 years' experience in an analytics or related field.

Nice To Haves

• 8+ years of experience in applied AL/ML, supply & demand planning, last mile optimization, tech product management for supply chain planning systems.
• Supply Chain Planning Automation, Optimization, and Transformation: Experience in developing and implementing large scale supply chain optimization systems and / or leading large scale supply chain planning transformation and automation.
• Roadmap Creation & Prioritization: Experience in developing complex roadmaps, evaluating and making tradeoffs, and driving prioritizations aligning with business priorities and strategies.
• Launch & Scaling: Experience in leading cross functional teams in executing launches and scaling systematic solutions. Experience in building Go-To-Market strategy and launch execution plan, performing A/B tests, and defining metrics and measuring outcomes.
• Cross Functional Leadership: Experiences in leading cross functional teams, influence w/o authority, and demonstrate strong ownership working in a matrix organization.
• Communication: Excellent written and verbal communication skills for both technical and non-technical audiences. Experiences with presenting to senior leadership.
• Analytical Skills: Strong analytical and quantitative skills with ability to use data and metrics to test hypothesis, validate assumptions, and evaluate outcomes.
• Technical Skills: Advanced SQL skills
• Manage Ambiguity: Strong ability to manage ambiguity and frame / simplify complex problems.
• Experience with reinforcement learning, multi-agent systems, or behavioral segmentation.
• Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
• Successful completion of one or more assessments in Python, Spark, Scala, or R
• Supervisory experience
• Using open source frameworks (for example, scikit learn, tensorflow, torch)
• We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
• The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Responsibilities

• Develop AI-powered Supply and Demand Planning systems for Last-Mile Delivery business, automate S&OP process while optimizing supply and demand strategies.
• Develop advanced ML systems that forecast 52-weeks out driver Supply and Demand at store, market, and national levels across various fulfillment channels for Walmart Last Mile Delivery.
• Develop optimization systems, with predictive simulation and scenario evaluation capabilities, to balance supply and demand.
• Partner with Operations, Product, Engineering, and Data Science to pilot test and scale AI powered S&OP system across entire US market.
• Create strategy, roadmap, and BRD documents partnering with Operations, Product, Engineering, and Data Science for forecasting and S&OP optimization systems.
• Communicate project status updates (against goals) through narratives and business reviews to leadership and peers.
• Define, track, and deep dive KPIs as related to supply and demand planning and AI system effectiveness.
• Provide thought-leadership to Walmart LMD leadership and business partners in delivering AI / ML solutions to strategic areas.

Benefits

• At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet.
• Health benefits include medical, vision and dental coverage.
• Financial benefits include 401(k), stock purchase and company-paid life insurance.
• Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
• Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

What This Job Offers

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