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This position serves as an analytic and change agent on the Modeling and Simulation team by performing process analysis, process improvement and implementation of proven advanced business initiatives across the global supply chain. Projects may involve: tactical network optimization, inventory optimization and management, demand planning, supply planning, S&OP, advanced scheduling, financial modeling, and supporting metrics. Projects will frequently entail a blend of process redesign, analytics, new technology enablers, system integration and change management. The scope of this position includes functions and processes that support nearly $5.0 billion in sales, involve more than 190,000 products, and span the globe with more than 150 manufacturing locations.
Incumbent will leverage a solid understanding of supply chain theory and then practically apply both theory and supporting analysis to optimize working capital investment, customer service and inventory investment. Incumbent must be able to manage multiple projects, work across multiple functions and have advanced communication skills to achieve their targeted supply chain savings goals. Incumbent will develop business cases that credibly communicate analytical results to many levels of the organization, across all functional areas and include interactions with Executive and Senior Management.
I. Manage strategic business process optimization initiatives:
Analyze existing business processes and operating models
Map and gap existing processes looking for ways to eliminate, automate and improve.
Create and run simulation models where appropriate.
Provide a transformation roadmap of quick hit, tactical and strategic opportunities that leverages people, process and technology enablers.
Create implementation plan and business case with major stakeholders
Deliver the targeted value along with required change management, training and sustaining metrics
Optimize the global end-to-end supply chain planning process
Assist in the design, implementation, maintenance and ongoing improvement of an integrated, advanced supply chain planning, scheduling and sequencing system.
Work cross-functionally with Forecasting, Capacity Planning, Supply Planning, Marketing, Sales, Logistics & Global Supply Chain functions to align Sales & Operations Planning strategies and goals.
Leverage supply chain maturity models, best practices and supply chain knowledge to analyze and apply the correct planning techniques for each problem.
II. Manage the Target Inventory Level (TIL) process across the organization with the primary objective of setting a global inventory mix that achieves targeted customer service levels.
Manage the process:
Ensure the ongoing setting of inventory targets for each sku based on the current supply chain profile.
Manage the integration of newly acquired businesses onto the process and training of new users.
Assist business units with seasonal inventory strategies.
Monitor the process:
Generate TIL alerts to indicate changes in underlying assumptions that will lead to potential problems.
Develop and maintain a dashboard of inventory management & optimization key performance indicators.
Conduct root cause analysis on excess inventory and stock outs at each node
Analyze and improve the process:
Conduct product and supply chain segmentation analysis to determine the best inventory planning and manufacturing approaches for different product segments based on variability, cost, lead-time, and margin.
Establish the right stock level and replenishment rate for each product in each location using multi-echelon inventory optimization techniques.
Utilize service level-product mix optimization to achieve a blended service level while optimizing cost/margin.
Analyze and recommend optimal TIL reset frequency and the use of a single static TIL per sku or multiple time phased target inventory levels for seasonal products.
Analyze and incorporate the use of demand planning data and error rates into the model.
Analyze the effect of TIL parameters such as Min Order Quantities and Receipt Intervals.
Bachelor’s degree from an accredited college or university in Industrial Engineering, Operations Research, Supply Chain Management, Statistics, Analytics, Computer Science, or related field.
3-5 years using quantitative methods to analyze and improve supply chains.
Experience in business process improvement and/or optimization.
Background in some of following: strategic supply chain design, demand planning, forecasting, supply planning, sales & operations planning, production planning, advanced scheduling, DRP, and inventory optimization.
Practical experience with advanced planning software such as IBM LogicNetPlus, IBM IPFA, Adexa and SAP APO or Oracle Value Chain Planning.
Working knowledge of implementation methodologies, project planning, and management of client expectations.
Demonstrated knowledge of basic statistical analysis.
Practical knowledge of manipulating, cleansing, aggregating, and compiling analytic data.
Practical knowledge of relational databases including ability to write basic SQL queries.
Exposure with some or all of the following tools: SAS JMP, Oracle Crystal Ball and Arena.
Proficiency with MS Office tools including Excel, Project, Visio, and PowerPoint, and Word.
Excellent interpersonal, including strong verbal and written communication skills necessary to work effectively with all levels of the organization as well as geographically disbursed teams.
Highly motivated self-starter, driven for results, effective at prioritizing and managing complex initiatives.
Master’s degree from an accredited college or university in the above fields is preferred
Experience in the consumer packaged goods and/or textile and apparel industries is preferred
Experience using SCOR, APICS and CSCMP frameworks to design and transform supply chains.
Experience on large scale supply chain transformations including system integration and change management.
Lean Six Sigma Black Belt, APICS or CSCMP Certification preferred.
Simulation experience is a significant plus
Advanced Excel with experience in VBA and data analysis add-ins very desired.
To qualify, applicants must be legally authorized to work in the United States and should not require now, or in the future, sponsorship for employment visa status
Only applicants requiring reasonable accommodation for any part of the application and hiring process should contact us directly:
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