(Chinese Mainland) Campus Recruiting - Product Supply Manager – Operation Management / Digital Engineer

Required Graduation Period : 2025.6.1 - 2027.8.31

(中国大陆）校园招聘 - 供应链管理经理 / 供应链管理数字工程师

宝洁 Product Supply 提供两条截然不同却同样精彩的职业发展路径。请仔细阅读以下两个岗位的介绍，根据自身背景与兴趣选择最适合你的方向。

关于两个岗位的区别

1. Product Supply Manager - Operation Management 供应链管理经理（全职管理岗）

端到端供应链业务运营管理

在智能制造、工程、计划、采购、质量、创新等供应链模块中带领团队、主导项目、让想法落地，驱动端到端业务成果。

2. Product Supply Manager - Digital Engineer 供应链管理数字工程师（全职管理岗）

设计/开发前沿创新技术解决方案

借助 AI（人工智能）、数据科学、算法、本体建模、知识图谱、自动化、物联网（IoT）、机器人等技术手段，解决供应链中的真实业务难题，并通过跨职能项目驱动端到端变革。

Product Supply Manager - Operation Management 供应链管理经理（全职管理岗）

主要职责

作为 Product Supply Manager，你将成为宝洁供应链的端到端业务领导者。从原材料采购到消费者手中的最终产品，你会横跨制造、工程、供应网络计划、需求驱动管理、采购与质量等全链条职能，与团队一起把项目做出成果。你的第一段岗位通常会聚焦于供应链其中一个模块，作为核心成员参与到大师级供应链项目中，逐步建立起对整条链路的理解与影响力。

• 端到端供应链运营：以业务 Owner 的角色，把制造执行、供应计划、需求预测、采购策略与质量管控串联起来，确保从供应商到消费者的整条链路高效且稳健地运转。

• 跨职能项目主导：主导新品上市、产能扩建、成本优化与供应链韧性提升等端到端项目，协调内外部资源，把项目高质量地落到实处。

• 团队领导与人才发展：在制造现场、计划中心或采购等模块带领团队，培养同事的能力，营造高绩效的团队氛围，让组织能力持续上台阶。

• 创新与卓越运营：以 IWS（Integrated Work System，集成工作系统）精益方法论结合行业最佳实践，持续提升生产效率、产品品质与消费者体验；同时主动挖掘创新机会，把新技术与新模式转化为供应链的竞争优势。

任职要求

• 欢迎STEM（科学 Science、技术 Technology、工程 Engineering、数学 Mathematics）相关专业的同学，以及供应链管理、工业工程、经济与管理等相关背景的同学加入；欢迎多元背景的同学申请。

• 具备出色的领导力与影响力，推动跨职能团队协作与项目交付。

• 拥有扎实的分析思维与解决复杂问题的能力，能够在数据洞察与业务判断之间找到平衡。

• 具备强烈的责任心与结果导向，在快节奏、高压力的环境中依然能保持专注、稳步交付。

Product Supply Manager - Digital Engineer 供应链管理数字工程师（全职管理岗）

主要职责

作为 Product Supply Manager – Digital Engineer，你将站在宝洁供应链数字化与智能化转型的最前线。这不只是一个技术岗位，更是一个需要你理解供应链业务、连接数据资产，并用 AI 与知识工程解决真实业务问题的综合角色。你会与制造、工程、计划、采购等多个职能并肩合作，构建能支撑算法、AI 与业务决策的语义底座，持续提升供应链的效率、透明度与竞争力。

Digital Engineer 岗位分为两个重点方向

方向一：数据科学、AI 与供应链知识工程

• 数据驱动决策：运用统计建模、机器学习与预测分析，从海量供应链数据中提炼洞察，为管理层的战略与运营、生产决策提供有力支撑。

• AI 与生成式应用：结合大语言模型（LLM）、AI Agent（智能体）与生成式 AI，探索供应链场景下的智能问答、辅助决策与业务副驾驶，让 AI 真正嵌入日常运营或者工厂运作中，为业务减负增效。

• 供应链知识图谱与本体建模：构建覆盖物料、工艺、供应商、订单、工厂与消费者等要素的知识图谱与本体模型，把原本分散的数据资产串联成一张“能被机器读懂”的网络，为算法、AI 与业务决策提供统一的语义底座。

• 算法开发与落地：设计并部署智能算法，服务于需求预测、库存优化、生产排产与生产质量闭环控制等关键场景，把模型的价值真正转化为业务的价值。

• 跨职能项目领导：主导端到端的供应链数字化项目，牵动多方资源，确保项目按时交付并带来可衡量的业务成果。

• 数字化能力建设：推动组织的数字化文化落地，帮助业务伙伴掌握数字工具与方法论，让数据与 AI 成为团队的日常语言。

方向二：智能制造转型与自动化

• 工业物联网（IIoT）：规划并落地工厂 IoT 方案，实现设备数据的实时采集、监控与分析，让生产更稳定、能耗更可控。

• 机器人与自动化：引入并优化机器人技术与自动化产线，在降低人工作业风险的同时，提升生产效率与产品一致性。

• 数字孪生与仿真：搭建工厂数字孪生模型，通过虚拟仿真验证优化方案的可行性，加速创新落地并降低试错成本。

任职要求

• 欢迎运筹学、统计学、数学、计算机科学、人工智能、工业工程、智能制造、机械工程或相关专业方向的同学投递。

• 具备供应链相关知识（如预测建模、库存理论、物流管理等）或硬件/机械工程相关背景（如自动化 / 智能装备、生产制造工艺等）者优先。

• 具备优秀的领导力与沟通能力，能推动组织变革，并善于把复杂的技术概念用通俗的语言与非技术背景的伙伴交流。

• 对新技术保持好奇心，具备快速学习与自我驱动的能力，能在快速变化的环境中持续成长。

供应链管理部所覆盖的工作地点包括广州、苏州太仓、天津、上海、成都等。我们会结合业务需要与你的经历匹配度来最终确认岗位，因此你在申请时选择的意向工作地点，未必是最终工作地点，请同学们知悉。

(Chinese Mainland) Campus Recruiting - Product Supply Manager - Operation Management / Digital Engineer

P&G Product Supply offers two distinctive yet equally rewarding career paths. Take a few minutes to read through both role descriptions and choose the direction that best matches your background and interests.

About the Two Roles

1. Product Supply Manager - Operation Management (Full-Time Management Role)

End-to-End Supply Chain Operations Leadership

Lead teams, own projects, and drive end-to-end business results across manufacturing, engineering, planning, purchasing, quality, and innovation.

2. Product Supply Manager - Digital Engineer (Full-Time Management Role)

Design and Develop Cutting-Edge Technology Solutions

Leverage AI, data science, algorithms, ontology modeling, knowledge graphs, automation, IoT, and robotics to tackle real supply chain challenges and lead end-to-end transformation through cross-functional projects.

Product Supply Manager - Operation Management (Full-Time Management Role)

Key Responsibilities

As a Product Supply Manager, you will serve as an end-to-end business leader in P&G's supply chain — from raw material sourcing to the products that reach consumers' hands. You will work across manufacturing, engineering, supply network operations, integrated demand management, purchasing, and quality, delivering outstanding results together with your team. Your first assignment will typically focus on one module of the supply chain, joining a world-class program as a core contributor and gradually building an end-to-end perspective and influence.

• End-to-End Supply Chain Leadership: Act as a business owner, connecting manufacturing execution, supply planning, demand forecasting, procurement strategy, and quality management to keep the entire chain — from supplier to consumer — running efficiently and reliably.

• Cross-Functional Project Ownership: Lead end-to-end projects across new product launches, capacity expansion, cost optimization, and supply chain resilience, orchestrating internal and external resources for high-quality delivery.

• Team Leadership & Talent Development: Lead teams in manufacturing sites, planning centers, or procurement functions; develop team members’ capabilities and nurture a high-performance culture that lifts organizational capability over time.

• Innovation & Operational Excellence: Combine IWS lean methodology with industry best practices to continuously improve productivity, product quality, and consumer experience; actively explore innovation opportunities that turn new technologies and new models into competitive advantage.

Requirements

• Open to STEM majors, as well as supply chain management, industrial engineering, economics & management, and related backgrounds; candidates from diverse academic backgrounds are warmly welcomed.

• Outstanding leadership and influencing skills, with the ability to drive cross-functional collaboration and project delivery without direct authority.

• Strong analytical thinking and problem-solving skills, with the ability to balance data-driven insights and sound business judgment.

• Strong sense of accountability and results orientation, able to stay focused and deliver in fast-paced, high-pressure environments.

Product Supply Manager - Digital Engineer (Full-Time Management Role)

Key Responsibilities

As a Product Supply Manager – Digital Engineer, you will stand at the forefront of P&G's digital and intelligent supply chain transformation. Beyond technical delivery, this role requires you to understand supply chain operations, connect data assets, and solve real business problems through AI and knowledge engineering. You will partner closely with manufacturing, engineering, planning, and procurement teams to build the semantic foundation that supports algorithms, AI, and business decision-making, continuously improving supply chain efficiency, transparency, and competitiveness.

Key Focus Areas of the Digital Engineer Role

Focus Area 1: Data Science, AI & Supply Chain Knowledge Engineering

• Data-Driven Decision Making: Apply statistical modeling, machine learning, and predictive analytics to surface insights from large-scale supply chain data, providing solid support for strategic, operational, and production decisions.

• AI & Generative Applications: Leverage large language models, agents, and generative AI to build intelligent Q&A, decision assistants, and business copilots — embedding AI into day-to-day operations and factory workflows to lighten the load and boost the productivity of frontline teams.

• Supply Chain Knowledge Graph & Ontology Modeling: Design knowledge graphs and ontologies that connect materials, processes, suppliers, orders, plants, and consumers into a machine-readable web, providing a unified semantic foundation for algorithms, AI, and business decision-making.

• Algorithm Development & Deployment: Design and deploy intelligent algorithms for demand forecasting, inventory optimization, production scheduling, and Quality touchless control, turning model performance into tangible business value.

• Cross-Functional Project Leadership: Lead end-to-end supply chain digitalization projects, orchestrate cross-functional resources, and deliver measurable business outcomes on time.

• Digital Capability Building: Champion a digital-first culture across the organization, enabling colleagues to master digital tools and methods so that data and AI become the team’s everyday language.

Focus Area 2: Intelligent Manufacturing Transformation & Automation

• Industrial IoT: Plan and roll out factory IoT solutions to enable real-time equipment data collection, monitoring, and analytics for more stable production and better energy management.

• Robotics & Automation: Introduce and optimize robotics and automated production lines to reduce operational risk while improving productivity and product consistency.

• Digital Twin & Simulation: Build factory digital twins to validate optimization solutions through simulation, accelerating innovation deployment and lowering the cost of trial and error.

Requirements

• Open to majors such as Operations Research, Statistics, Mathematics, Computer Science, Artificial Intelligence, Industrial Engineering, Intelligent Manufacturing, Mechanical Engineering, or related fields.

• Prior exposure to supply chain concepts (e.g., forecasting, inventory theory, logistics, knowledge graphs), or a hardware / mechanical engineering background (e.g., automation & intelligent equipment, manufacturing processes), is a strong plus.

• Strong leadership and communication skills to drive organizational change, with the ability to translate complex technical concepts into plain language for non-technical stakeholders.

• Genuine curiosity about new technologies, with strong learning agility and self-motivation to keep growing in a fast-changing environment.

Product Supply organization operates across locations including Guangzhou, Suzhou Taicang, Tianjin, Shanghai, and Chengdu. Final placement will be determined based on business needs and your fit with the role, so the preferred location you select at application may not be your final assignment — thank you for your understanding.

※ You could apply one or two requisitions and identify it as “First Choice” or “Second Choice”. Once you submit your application, your choices will be finalized and cannot change.