Manager, Automation Engineering

Walmart•Bentonville, AR

1d•$90,000 - $180,000•Onsite

About The Position

The Manager, Automation Engineering role involves leveraging data analysis tools for complex data exploration, hypothesis testing, and influencing strategic work through insights and visualizations. The position requires expertise in Mechatronics, including updating CAD drawings, understanding drafting conventions, troubleshooting control systems, identifying electrical design concepts in supply chains, and knowledge of wiring schematics and mechanical components of Distribution and Fulfillment Center equipment. Key responsibilities also include Automation System Design, where the manager identifies automation machinery usage, assesses automation potential, evaluates alternative solutions, analyzes space and cost requirements, and resolves issues related to automation machinery. The role also encompasses Process Flow Design, involving interpreting information for supply chain decisions, managing suppliers, understanding logistics, using business process design tools, analyzing workflows, and participating in technology interface development and integration testing. Continuous Improvement is a core aspect, requiring the application of methodologies like Lean, Six Sigma, or Kaizen to identify efficiency opportunities. Furthermore, the role demands an understanding of Engineering Economics, including cost drivers, financial data utilization, and business case development. Finally, Advanced Analytics skills are essential for explaining data analysis methods, collecting, exploring, manipulating, and analyzing data to identify trends and correlations. The position may involve working at various Walmart locations across the U.S.

Requirements

Bachelor’s degree or the equivalent in engineering or related field and 2 years of experience in engineering, supply chain, or related experience; OR 4 years of experience in engineering, supply chain, or related experience.
Experience with Facility Design, Warehousing & Material Handling Systems: Develop plans using AutoCAD or similar tools, Automation Assembly & electrical equipment, PLCs, VFDs, IDFs, HMI interfaces.
Experience with Logistics Engineering, Supply Chain Planning & Engineering: Automation system design & integration.
Experience with Lean Business Cases: Project charters, timelines, cost justifications, make-or-buy decisions, data-driven decision making, stakeholder management, strategic planning, resource allocation.
Experience with Standard Operating Procedures (SOP): Process Flow Charts, current and desired state mapping, cost analysis using engineering economics.
Experience with Lean Tools: Value Stream Mapping (VSM), continuous improvement, Kaizen, root cause analysis, 5S, Poka Yoke, Heijunka, process standardization, visual management, Gemba, SOP.
Experience with Six Sigma: DMAIC tools, PDCA cycle, process optimization, quality-driven management (QDM), ABLE, NPI, cost reduction.
Experience with Data Visualization & Analysis: Dashboards, statistical data analysis, historical data analysis, demand and supply analysis, time series forecasts, process optimization tools.
Experience with Staffing & Resource Planning: Equipment planning, operational functions, departmental strategy, material flow optimization using simulation models.
Experience with Enterprise Resource Planning (ERP): SAP, R, Python, SQL, DAX coding in PowerBI.

Responsibilities

Leverages data analysis tools to explore moderately complex data, develops and tests hypotheses, uses data to influence strategic work, and builds and presents insights.
Identifies, implements, and drives technology change within scope of work.
Uses visualization tools to represent data and construct coherent stories to influence decisions.
Updates existing CAD drawings based on requirements.
Describes common drafting conventions, tools, procedures, and processes.
Identifies basic functions and features of a design and visualization system.
Navigates and troubleshoots control systems.
Identifies electrical design concepts and techniques used in a supply chain.
Cites examples of usage or application of electrical design in automating supply chain processes.
Demonstrates knowledge of wiring schematics, ensuring they meet requirements and are compliant.
Describes common mechanical components of Distribution Center and Fulfillment Center equipment.
Names basic tools or technologies used in mechanical engineering.
Identifies the areas for usage of automation machineries.
Assesses tasks for automation potential.
Obtains information about alternative automation solutions.
Assists with analyzing space and cost requirements associated with machinery usage.
Identifies issues and provides resolutions to problems related to automation machineries.
Interprets information to quantify the anticipated outcome of supply chain decisions.
Describes the typical tasks associated with using and managing suppliers.
Understands issues and considerations for inbound and outbound logistics.
Describes basic logistical processes and subprocesses.
Uses a variety of business process design tools and techniques.
Examines, interprets, and explains workflow materials and documentation.
Analyzes a process and associated business logic and offers recommendations based on analysis.
Carries out business process design tasks with some supervision and coaching.
Documents common obstacles and barriers for effective implementation.
Participates in the development of technology interfaces and bridges.
Works with existing interfaces and integration and migration plans within assigned area.
Prepares integration tests.
Measures and compares results with established test criteria.
Seeks help to implement ideas for process improvement for the group.
Identifies the main processes for which the group is responsible.
Demonstrates the ability to describe the interrelationships among elements of a system or process.
Applies the concept of continuous improvement to identify opportunities for greater efficiency.
Understands and explains principles of continuous improvement methodologies such as Lean, Six Sigma, or Kaizen.
Describes the concepts behind engineering economics and the implications of financial data.
Understands the drivers of cost.
Identifies major types of financial data utilized by the organization.
Explains how financial data is accessed and the types of information used in engineering.
Understands how to develop a business case.
Explains the key concepts and features of data analysis methods.
Lists the major sources (for example, tools, dashboards, industry sources etc.) for collecting data.
Explores, compiles, and manipulates data using various tools.
Analyzes data and computes descriptive statistics that identify trends, outliers, and correlations.