Supply Demand Management

le's headquarters and Apple's Asia Operations team and OEM partners, this person will develop, communicate, and complete end-to- end product demand and supply plans across all channels of distribution in over 80 countries for a current or future product line. Product line assignments will be made at the time of hire in any of Apple's multi-billion dollar businesses, including Mac, iPod, iPad, iPhone, Wearable and Accessories. - Forecast demand, inventory, and multi-channel sell through analysis. Generate and execute weekly and quarterly supply plans that meet Apple's financial objective. Evaluate risks. Plan and implement contingency plans to mitigate - Define the launch strategy including launch target and execution plan of new product introductions and balancing the New Product Introduction (NPI) end-to-end daily planning to ensure smooth product transitions. - Partner with Apple Operation team on OEM site strategy development and factory capacity requirements based on demand projections, call out the risks and provide prioritization during constraint. - Partner with global procurement teams to allocate constrained components to secure customer commits under optimized allocation - Partner with OEM and Apple Operations / Logistics teams to ensure a detailed execution plan to serve an outstanding customer experience. - Present product updates and recommended actions to Asia Procurement Operations executive management team on a weekly basis. - Identify improvement opportunities in the product planning process, marshal resources, and drive projects to completion.

Minimum Qualifications

• Bachelor's Degree or Equivalent.

• Strong analytical and problem-solving abilities. Highly proficient in MS Excel.

• Excellent communication skills in English, both written and verbal, capable of building and nurturing positive relationships with both internal and external partners.

• A strong team collaborator and communicator.

Preferred Qualifications

• Prior experience in supply chain or in fields that requires quantitative analysis.
• Skilled in communicating complex analytics, making data-driven insights accessible and actionable.
• Demonstrate initiative, adaptability and problem-solving skills in a changing and dynamic environment.
• Have experiences in predictive and optimization modelling (eg Solver, AI/ML), data visualization (eg: Tableau) or programming (eg, SQL, Python) is preferred.