Senior Manager, Automation Engineering

(USA) Senior Manager, Automation Engineering

805 Respect Bentonville, AR  R-2618818 Error loading map. $110,000 - $220,000/yr Regular/ Permanent Salaried

The Senior Manager, Automation Engineering, Simulation & Digital Twin is a technical leader within the Advanced Engineering organization, responsible for developing and applying simulation and digital twin solutions across complex supply chain systems. This role partners closely with engineering, operations, product, and technology teams to understand business problems and determine the right modeling approach to solve them. You will use simulation, Operations Research, statistics, optimization, analytics, and AI to model complex systems, evaluate alternatives, and turn results into actionable insights that drive business value.

This is an onsite role based at our Home Office in Bentonville, Arkansas. We are not considering remote applicants, but full relocation is available. About the team:
Our team develops and scales advanced automation, robotics, simulation, and energy solutions that enhance Walmart's supply chain through innovation and engineering excellence. We leverage data analysis, machine learning, and process improvement to drive measurable business impact. Collaborating across functions, we design and integrate automation systems that optimize operational performance and support continuous improvement. The team values strategic project management and applies advanced analytics to solve complex challenges, ensuring efficient and effective supply chain operations aligned with business goals.

Lead the development and application of simulation models supporting multi-billion-dollar capital and engineering investments across fulfillment, transportation, and distribution networks.

Develop and apply simulation, optimization, and advanced modeling techniques to solve complex engineering and operational problems and drive measurable business value.

Explore and apply emerging technologies, including AI, machine learning, digital twins, and advanced simulation tools, to improve modeling capabilities and accelerate engineering decisions.

Work closely with operations and engineering teams to apply simulation insights that improve safety, productivity, associate experience, and operational performance.

Partner with supply chain, engineering, operations, product, and technology teams to understand business problems, determine the right modeling approach, and deliver actionable insights.

Translate complex system behavior, model outputs, and analytics into clear recommendations for engineering, operational, and business leaders.

Develop reusable modeling approaches, standards, and best practices that improve the quality and scalability of simulation and digital twin solutions.

Lead, mentor, and develop a team of technical experts while remaining closely connected to the technical work.

Experience in simulation, modeling, Operations Research, statistics, optimization, digital twins, or related quantitative engineering fields

Hands-on experience with simulation tools such as Flex Sim, Enterprise Dynamics, Any Logic, Simio, Arena, NVIDIA Omniverse, Sim Py or similar platforms

Strong quantitative and analytical skills, including experience with statistical methods, optimization, AI/ML, or advanced analytics

Programming and data analysis experience using Python, SQL, R, or similar tools

Experience solving complex problems in supply chain, automation, robotics, material handling, logistics, manufacturing, or similar environments

Proven technical leadership with the ability to translate complex modeling and analytical results into clear, actionable business recommendations

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1:
Bachelor's degree in Engineering or a related field and 4 years' experience in Engineering, supply chain, or a related area. Option 2: 6 years' experience in Engineering, supply chain, or a related area. 2 years' supervisory experience.

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Masters:
Computer Engineering

805 Respect, Bentonville, AR 72716, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.