APO Logistics Manager at Apple

Shanghai, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

06 Oct, 26

Salary

0.0

Posted On

08 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Freight Management, Data Analysis, People Management, SQL, Tableau, Power BI, AI/ML Implementation, RPA, Warehouse Automation, Strategic Communication, Problem Solving, Business Continuity Planning, Supply Chain Execution, Multi-modal Freight, Green Logistics, English and Mandarin Proficiency

Industry

Computers and Electronics Manufacturing

Description

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something—you’ll add something. DESCRIPTION This isn’t just a logistics role; it’s an opportunity to architect the future of global supply chain execution. Based in Shanghai, the APO Logistics Manager will lead the team managing China and Southeast Asia OEM back-dock operations, in-region transportation, and multi-modal freight operations. You won’t just manage operations; you will transform them. By integrating cutting-edge AI/ML, predictive analytics, and warehouse robotics, you will build a supply chain that is not only sustainable, cost-effective, and carbon-neutral, but relentlessly intelligent. We are looking for a visionary leader—someone who can command a complex global network, inspire a high-performing team, and drive technological innovation at Apple scale. MINIMUM QUALIFICATIONS BA degree with a minimum of 3-5 years of proven, high-impact logistics and supply chain experience. A deep understanding of diverse freight management (Bulk, Parcel, Ocean, Domestic/cross-border) is essential. Strong technical foundation: Proficiency in data analysis, system development concepts, and data visualization tools (e.g., Tableau, Power BI). You must be comfortable querying data (e.g., SQL) to drive insights. Demonstrated excellence in people management, with a track record of building inclusive, high-performing, and adaptable teams. PREFERRED QUALIFICATIONS Tech-Forward Mindset: Proven ability to self-learn and implement advanced analytics, AI/ML concepts, and RPA solutions to drive continuous process improvement and Green Logistics. Automation Expertise: Familiarity with modern warehouse automation ecosystems, including autonomous mobile robots (AMRs), automated guided vehicles (AGVs), and warehouse control systems (WCS). Master of Ambiguity: Capable of thriving in a fast-paced, technologically evolving environment. You can cut through ambiguity, make decisive actions without the total picture, and comfortably navigate risk and uncertainty. Strategic Communicator: Exceptional ability to translate complex technical recommendations into clear business impact for cross-functional executives. Strong communication skills in English and Mandarin; additional languages are a powerful asset. Exception Management: Uncanny problem-solving skills, particularly in scenarios where human judgment must complement automated systems and AI recommendations. Industry Authority: Deep functional knowledge of the global freight market, industry benchmarking, and a strong network of relationships with key players in the logistics space. Resilience and Continuity: Capable of managing crises and emergencies with robust Business Continuity Plans (BCPs) to ensure unwavering sustainability.

Responsibilities

Lead the team managing OEM back-dock operations, in-region transportation, and multi-modal freight across China and Southeast Asia. Transform supply chain operations by integrating AI/ML, predictive analytics, and warehouse robotics to achieve sustainability and intelligence.