Role Purpose :
- To lead end to end category supply planning function for supply assurance
- Drive forecast accuracy & effective management of inventory level
- To coordinate with the different Syngenta functions on planning and scheduling related topics.
- Act as single key point of contact to balance the demand & supply.
- To manage demand-supply gap with data support and smart tools
- Co-ordination and collaboration among in-country and cross -country stakeholders across value chain systems
- To manage the ex-works shipments follow-up and ensure arrival of stocks up to WHs and drive 100% OTIF.
- To leverage SAP APO/SAP system and stewardship of master data management.
Accountabilities :
- Ensure overall supply of products to support the business on time
- Negotiations with Regional Planning team to ensure on time supply of AI/Auxiliaries supply for right commercials terms and as per service level agreement.
- Actively collaborate with Order Management team to get consignments in time
- Understand Campaign planning Production and Transportation Lead Time and maintain targeted inventory level.
- Active Participation in Monthly S & OP cycle & drive the agenda.
- Local Formulation- AI/Auxiliaries
- Preparing import plan based for local formulation plan of AI/Auxiliaries/others.
- Follow up with 3rd party supplier on time supply.
- Checking logistics team on time clearing (NOC/documentation).
- Checking with regional procurement team availability of product as per requirement.
Qualifications :
- BSc. Engineering (Mechanical/ Chemical/ Industrial Production)
- Minimum 6 years professional experience in a Supply Chain Manufacturing Logistics.
- Preferred work experience industry: FMCG Agrochemical Industry.
Critical Knowledge (Education/ Development expected for Job) :
- Global Supply Chain Management Inventory Management Material Requirement Planning Demand Forecasting S&OP Process.
- Hands on knowledge in SAP ECC SAP APO SAP IBP.
- Data analysis visualization and decision making.
- Understanding of Python Excel VBA Machine Learning.
Remote Work :
No
Employment Type :
Full-time