SandOP Manager

Role Overview:

The S&OP COE Analyst is a critical role within the Planning Center of Excellence, responsible for elevating the company’s Sales & Operations Planning capabilities across a complex, multi-vendor technology portfolio.

Operating in a high-SKU, fast-moving distribution environment, this role blends statistical planning, inventory optimization, and category performance analytics with structured S&OP process governance. The analyst ensures demand, supply, inventory, and financial plans are fully integrated — enabling improved service levels, working capital efficiency, and executive decision-making.

This position supports a global business managing thousands of SKUs across multiple OEM partners, lifecycle stages, and regional markets.

Key Responsibilities:

• Enterprise S&OP Governance:
• Support global standardization of the monthly S&OP cycle across regions and business units
• Ensure alignment between Demand Planning, Supply Planning, Category Management, Finance, and Sales
• Drive meeting readiness, executive reporting, and structured decision support
• Maintain KPI governance including forecast accuracy, bias, service level, inventory turns, and working capital
• Identify process gaps and lead continuous improvement initiatives to mature S&OP toward Integrated Business Planning (IBP)
• Statistical Forecasting & Demand Segmentation:
• Develop and enhance statistical baseline forecasting models across high-SKU portfolios
• Segment SKUs by demand pattern (smooth, intermittent, erratic, lifecycle) to apply differentiated planning strategies
• Partner with Demand Planning to improve forecast accuracy at SKU, vendor, and category levels
• Conduct forecast error and bias root cause analysis
• Automate performance dashboards and exception reporting
• Support parameter optimization and model tuning in planning systems
• Inventory Optimization & Working Capital Strategy:
• Analyze inventory positioning across distribution centers and regions
• Support multi-echelon inventory analysis and safety stock optimization
• Develop segmentation frameworks across thousands of SKUs
• Drive long-tail SKU strategies (low/no-touch planning, rationalization, order frequency optimization)
• Monitor excess & obsolete exposure, lifecycle risk, and vendor transition impacts
• Quantify working capital impact of planning decisions and provide executive-level insights
• Category & Vendor Portfolio Analytics:
• Partner with Category Management and Vendor Management teams to assess portfolio performance
• Build vendor and subcategory scorecards integrating revenue, margin, inventory, and service metrics
• Support SKU rationalization and vendor mix optimization initiatives
• Conduct lifecycle analytics (new product introduction, refresh cycles, end-of-life risk)
• Model assortment and allocation scenarios across regions
• Advanced Analytics & Decision Support:
• Build scalable data models to support forecasting, inventory analytics, and KPI reporting
• Develop and maintain executive dashboards using BI tools (Power BI, Tableau, or similar)
• Automate recurring reporting through SQL-driven data pipelines
• Conduct scenario modeling and what-if analysis to evaluate demand shocks, supply constraints, and margin impact
• Partner with IT and data engineering teams to enhance planning data architecture and governance
• Improve master data accuracy and standardize KPI definitions across regions
• Systems & Data Governance:
• Partner with IT and system owners to enhance ERP and advanced planning tools
• Improve data integrity and master data governance
• Support system enhancements, reporting automation, and KPI standardization
• Drive scalable analytics solutions across global regions
  
  

• Bachelor’s degree in Supply Chain, Engineering, Finance, Statistics, or Business
• 5–10 years of experience in S&OP, demand planning, supply planning, or supply chain analytics within a distribution or technology environment
• Experience managing large SKU portfolios (10,000+ SKUs preferred)
• Strong knowledge of statistical forecasting methods and inventory optimization principles
• Advanced Excel skills; experience with BI platforms (Power BI, Tableau, etc.)
• Strong hands-on SQL capability (data extraction, joins, aggregations, performance optimization)
• Experience with ERP and planning systems (Blue Yonder, SAP, Oracle, Kinaxis, Anaplan, or similar)
• Strong quantitative modeling and financial acumen
• Ability to influence cross-functional stakeholders in a matrixed global organization