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Reporting to the Senior Demand Planning and SIOP Manager, this position will be responsible leading the Global Demand Planning Process for BDB Research Reagents, a complex long tail portfolio composed of + 15.000 SKUs.
Job Responsibility:
Lead the Global Demand Planning Process for BDB Research Reagents
Lead the efforts to optimize and generate Statistical Forecast through SCM
Measure performance with different forecast error criteria
Help to determine best configuration and time series-based model / forecasting strategy
Use portfolio segmentation strategies
Coordinate and schedule global demand review meetings with global marketing team
Confirm unit and revenue alignment for WW Demand
Identify risks and opportunities
Publish meeting summaries and action items
Actively contribute to support the optimization and continuous improvement of the Global Research Reagents Strategy
Coordinate the activities necessary to produce 3–5-year long Demand Forecast Projections
Consolidate Demand review data and prepare summary reports for use in monthly SIOP and Finance Reconciliation process
Pull monthly forecast Snapshot data and consolidate for reporting and presentation purposes
Prepare quarterly long-term demand planning datafiles for capacity planning meetings with operations
Support BDB Research Reagents SIOP process improvement efforts
Develop process improvement ideas and implement them through the Global Demand Reviews
Requirements:
Minimum 5 years’ experience in Demand planning using an ERP system required
SAP & SCM (APO) experience preferred
Strong MS Excel, Data Analytics, Statistical Forecasting abilities are required
Previous Exposure to SIOP (S&OP) in Multinational | Matrix Organizations preferred
BS/BA with concentration in Supply Chain, Engineering, Business Admin or Operations Management preferred
ASCM (APICS) CPIM certification preferred
Nice to have:
Strong analytical skills and good problem resolution skills
Excellent communication skills
Strong time management skills
Leadership ability to run meetings and coordinate information across several functions hierarchy levels