وصف الوظيفة
Role Overview
B&W Demand Planning Assistant Manager at Unilever. This role focuses on demand planning and Sales & Operations Planning for the Skin Care Category, combining forecasting expertise with cross-functional stakeholder management.
Role Purpose
Demonstrate mastery of demand planning and S&OP to create a central, unbiased, accurate forecast aligned with business units. Ensure all cross-functional inputs feed the business forecast using new tools and systems, while managing stakeholders and leveraging data analytics to drive business outcomes.
Key Responsibilities
Monthly S&OP Cycle
- Lead the entire Monthly S&OP cycle for Skin Care Category.
- Execute long-term and short-term forecasting.
- Align business targets and growth ambitions.
- Conduct multiple forecasting drivers' analysis.
- Compose total demand forecast.
Weekly S&OE Cycle
- Lead the entire Weekly S&OE cycle for Skin Care Category.
- Analyse customer order data.
- Highlight gaps and opportunities.
- Provide timely feedback for recovery.
Forecasting and Systems
- Set up and adjust the forecast baseline through FEU.
- Execute S&OP and S&OE through Kinaxis.
- Analyse various KPIs and monitor actuals and forecast through Kinaxis data analysis module.
Performance Monitoring and Reporting
- Analyse category-specific KPIs on a monthly basis.
- Correct gaps in upcoming cycles.
- Report KPI data at SCLT and global monthly forums.
Portfolio and SKU Optimization
- Simplify the portfolio with the optimum number of SKUs.
- Lead quarterly SKU Rationalization activity.
- Drive higher volume-value growth.
Distributor Management
- Monitor Distributors' OS&R against target.
- Identify improvement opportunities.
- Manage Distributors' SLOB.
- Highlight slow-moving and non-moving stocks to the business.
- Support appropriate actions for disposal.
Qualifications & Experience
- 4+ years' experience in Supply Chain; FMCG experience preferable.
- Bachelor's degree in engineering or supply chain.
Skills & Competencies
- Advanced planning skills and hands-on experience with Kinaxis and FEU.
- Understanding of forecasting methods, preferably knowledge of Machine Learning-based forecasting.
- Advanced MS Excel skills.
- Stakeholder management.
- Data analytics.
Additional Information
Unilever is committed to equity, inclusion, and diversity. The organisation welcomes applications from individuals of all backgrounds and encourages candidates requiring support or access requirements to advise at the time of application.