S&OP Group Planning Manager
Reports To:
Supply Chain Group Planning Lead
Role Overview
The S&OP Group Planning Manager is a critical role within the India
Supply Chain organization, 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
incumbent 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
1. Enterprise S&OP Governance
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Ensure standardization of the monthly S&OP cycle in India as per
global standards
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Ensure alignment between Demand Planning, Supply Planning, Category
Management, Finance, and Sales
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Drive meeting readiness, executive reporting, and structured decision
support
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Maintain KPI governance including forecast accuracy, bias, service level,
inventory turns, and working capital
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Identify process gaps and lead continuous improvement initiatives to
mature S&OP toward Integrated Business Planning (IBP)
2. Demand Planning & Demand Segmentation
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Drive end to end demand planning cycle culminating with final consensus
plan
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Develop and enhance statistical baseline forecasting models across
high-SKU portfolios
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Segment SKUs by demand pattern (smooth, intermittent, erratic, lifecycle)
to apply differentiated planning strategies
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Improve forecast accuracy at SKU, vendor, and category levels
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Conduct forecast error and bias root cause analysis
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Automate performance dashboards and exception reporting
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Support parameter optimization and model tuning in planning systems
3. Inventory Optimization & Working Capital Strategy
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Define stocking policy including inventory positioning across distribution
centers and regions
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Drive multi-echelon inventory analysis and safety stock optimization
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Develop segmentation frameworks across thousands of SKUs
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Drive long-tail SKU strategies (low/no-touch planning, rationalization,
order frequency optimization)
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Monitor excess & obsolete exposure, lifecycle risk, and vendor
transition impacts
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Quantify working capital impact of planning decisions and provide
executive-level insights
4. Category & Vendor Portfolio Analytics
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Partner with Category Management and Vendor Management teams to assess
portfolio performance
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Build vendor and subcategory scorecards integrating revenue, margin,
inventory, and service metrics
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Support SKU rationalization and vendor mix optimization initiatives
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Conduct lifecycle analytics (new product introduction, refresh cycles,
end-of-life risk)
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Model assortment and allocation scenarios across regions
5. Advanced Analytics & Decision Support
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Build scalable data models to support forecasting, inventory analytics,
and KPI reporting
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Develop and maintain executive dashboards using BI tools (Power BI,
Tableau, or similar)
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Automate recurring reporting through SQL-driven data pipelines
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Conduct scenario modeling and what-if analysis to evaluate demand shocks,
supply constraints, and margin impact
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Partner with IT and data engineering teams to enhance planning data
architecture and governance
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Improve master data accuracy and standardize KPI definitions across
regions
6. Systems & Data Governance
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Partner with IT and system owners to enhance ERP and advanced planning
tools
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Improve data integrity and master data governance
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Support system enhancements, reporting automation, and KPI standardization
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Drive scalable analytics solutions across global regions
Qualifications
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Bachelor’s degree in Supply Chain, Engineering, Finance, Statistics, or
Business
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7–10 years of experience in S&OP, demand planning, supply planning, or
supply chain analytics within a distribution or technology environment
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Experience managing large SKU portfolios (10,000+ SKUs preferred)
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Strong knowledge of statistical forecasting methods and inventory
optimization principles
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Advanced Excel skills; experience with BI platforms (Power BI, Tableau,
etc.)
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Strong hands-on SQL capability (data extraction, joins, aggregations,
performance optimization)
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Experience with ERP and planning systems (Blue Yonder, SAP, Oracle,
Kinaxis, Anaplan, or similar)
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Strong quantitative modeling and financial acumen
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Ability to influence cross-functional stakeholders in a matrixed global
organization