Manager, Supply Chain Engineer

Job Summary The Supply Chain Engineer will analyze and improve supply chain processes and capacity using data, technology, and continuous improvement methodologies.  This role will partner with cross-functional teams to identify opportunities, develop solutions, improve performance, and support strategic supply chain initiatives across the organization Responsibilities Assessment of DC Operations to identify optimization opportunities to improve flow, throughput, capacity, productivity, and OEE Establishing and document standards for supply chain facilities Development and updating of DC capacities in storage and processing Flow analysis Bottleneck analysis Cycle time analysis Time and motion studies Inventory slotting CAD drawing update and revisions Manage multiple projects from concept to execution Support the needs of the business for Operations Excellence Qualifications Bachelors degree in Industrial Engineering or equivalent 3-5 years of Industrial engineering experience (Distribution or Fulfillment) Exposure to operations labor and capacity planning Experience working with productivity rates, labor savings analysis, engineering standards, and process improvement Experience in Distribution or Fulfillment facility operations Experience with Supply Chain systems, WMS, LMS, TMS, etc. Lean Six Sigma Certification Proficient with Microsoft Office Suites (Excel, PowerPoint, Word, etc.) Ability to manage multiple projects and initiatives Experience with Good to Person (GTP) warehouse automation and systems Preferred Qualifications Strong analytical skills and proficiency with statistical analysis, engineering economics, simulation modeling, and advanced data and analytics Experience in Value Stream Mapping and Kaizen Events Experience leading operations labor and capacity planning Green Belt Certification or higher Project management experience Capital project justification and management Network Digital Twin and Simulation experience Experience with Google BigQuery (GBQ) or other cloud based data platforms Experience applying analytics to operations ,supply chain, distribution, inventory, or productivity Leadership Embodies the following values: serve, perform, influence, respect, innovate, team. Effectively communicates by motivating and inspiring others through clear and proactive communication. Delivers results and drives customer success by committing and focusing on outcomes to deliver results and making the customer the center of decisions. Makes balanced decisions and thinks strategically by being a forward thinker. Physical Demands / Working Environment Work performed in a typical office or warehouse environment Ability to travel as needed, up to 30%. Additional Info/Competencies: Data and Digital Literacy: Leverages data analysis tools to explore highly 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. Business Acumen: Develops, evaluates, and implements proposed business cases for projects and initiatives. Influences business stakeholder decision-making. Translates business requirements into strategies, initiatives, and projects, aligns them to business objectives, and drives the execution of deliverables. Demonstrates deep expertise of Supply Chain Distribution, Fulfillment, and Transportation. Builds and articulates the business case and return on investment and delivers work that has demonstrable value. Develops new, organization-wide processes and ways of working. Engineering Economics: Advises others on a variety of financial tools, techniques, and approaches. Builds multiple business cases to provide comparisons and fully realized options. Conducts and documents analyses of a variety of financial data and cost drivers. Oversees financial analysis to evaluate automation and systems performance. Evaluates financial data and ensures return-on-investment performance according to financial plans. Anticipates the potential impact of decisions based on financial data analysis. Advanced Analytics: Applies data analysis and data modeling techniques to establish, modify, and maintain data structures and associated components. Utilizes designated data analysis software (both internal and external) to analyze business data. Applies specific computing languages and tools in machine learning (for example, R, Python). Supports the identification and application of statistical techniques based on requirements Conduct statistical experiments (for example, hypothesis tests, confidence intervals) and builds statistical models. Process Flow Design: Interprets information to quantify the anticipated outcome of supply chain decisions. Can understand and perform typical tasks associated with receiving, put away, picking, and shipping product.  Can identify and understand sources of loss across the end-to-end supply chain. Describes and improves 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. Documents common obstacles and barriers for effective implementation. Operational Excellence: Evaluates relevant industry practices from an operations perspective. Works to resolve obstacles to goals of several organizational functions. Advises others to carry out responsibilities based on understanding of key organizational functions. Designs awareness programs for multi- and cross-functional issues of the regulatory environment. Facilitates interrelationships between major functions and subfunctions. Recommends efficiencies in operational function