We are looking for a Planning Expert to define, govern, and sustain world-class planning standards by translating innovative continuous improvement concepts into scalable global practices. The role drives transformative step-changes, ensuring that Syngenta’s planning capabilities are resilient, data-driven, and future-proofed against evolving global complexities.
Responsibilities/accountabilities will also include;
- Governance, Principles, and Strategy: establishing the global planning vision and driving global adherence.
- Digital Transformation and AI Integration: leading AI and Automation Adoption and establishing autonomous process framework
- Capability Building, Knowledge management and upskilling of planners.
- Regional and Cross-Functional Collaboration regarding Regional Implementation Support and supervising data integrity and master data management:
Qualifications and required experience
- Strong planning background in cross-functional supply operations spanning diverse geographies, cultures, and organizational levels (Country, Regional, and Manufacturing Site).
- Proven expertise in leveraging ERP systems (e.g., SAP S4) and Advanced Planning/Optimizer systems (e.g., SAP IBP/APO) to drive operational results.
- Strong cross-functional influence and demonstrated success operating within a complex, multi-cultural matrix environment, balancing local operational needs with global strategic mandates.
- Integrated Demand-Supply Perspective: A strong appreciation for Demand Planning and the ability to bridge the gap between commercial forecasting and supply execution.
- Continuous Improvement & Problem Solving: Practical experience applying Lean/CI tools (e.g., A3, 5 Whys, Root Cause Analysis) and conducting cost-benefit analyses to drive process efficiency.
- Professional Certification: APICS CPIM or CSCP certification is highly desirable as a mark of functional mastery.
- Change Agent Experience: History of participating in or leading the transition of planning teams toward new digital tools or organizational structure