阿迪达斯
Manager Retail CS Allocation
Manager Retail CS Allocation
发布于 大约 21 小时前中层管理(经理/总监)
上海市
高级经验
全职员工
仅现场办公
学历未注明
供应链、采购与物流
数据分析
SAP
库存管理
Jda
零售指标
初始分配
AI 估算 · 25k–45k
外企经理级别，上海零售分配专业岗位，市场薪资水平中上，具备系统经验有溢价
职位详情
关于这个职位
该职位负责阿迪达斯零售渠道的库存分配与补货管理，包括制定初始分配策略、优化系统参数、监控销售与库存表现，并协调跨部门合作
适合有5年以上零售或供应链分配经验的专业人士，需具备强大的分析能力和系统操作经验
最低要求
–8+ years of experience in Retail, Allocation, Merchandising, or Supply Chain
Strong hands-on experience in allocation/replenishment systems (e.g., SAP, Oracle, JDA)
Proven experience in initial allocation planning and execution
Strong analytical skills with advanced Excel capability (pivot tables, data modeling preferred)
Experience in system or process enhancement / automation projects is highly preferred
Strong ownership, problem-solving capability, and cross-functional communication skills
Ability to balance hands-on execution with team guidance and process ownership
工作职责
Allocation Strategy & System Execution**
Lead and oversee daily allocation, replenishment, and stock transfer execution, ensuring alignment with sell-through performance and inventory targets
Act as key system owner for allocation and replenishment processes, ensuring accuracy, stability, and efficiency of daily operations
Define and continuously optimize allocation logic and system parameters (e.g., min/max, safety stock, allocation rules, auto-replenishment settings)
Monitor system output and drive data-driven manual intervention strategies to maximize allocation effectiveness
Initial Allocation & Allocation Accuracy (Key Focus)**
Own and drive initial allocation strategy and execution for new product launches
Ensure high accuracy of initial stock distribution by:
Leveraging store grading, historical performance, and product segmentation
Aligning closely with Buying/AP and Merchandising teams
Track and evaluate initial allocation performance (e.g., early sell-through, size break, stock imbalance)
Continuously refine allocation logic to improve first allocation hit rate and reduce rebalancing needs
System Enhancement & Data Optimization**
Lead identification and implementation of system enhancements to improve allocation efficiency and automation
Partner with IT/data teams to:
Enhance replenishment models and allocation tools
Improve data structure and usability (SKU, store attributes, product hierarchy, etc.)
Drive automation and tool development (e.g., reporting automation, allocation templates, dashboards)
Ensure strong data governance and integrity across allocation-related systems
Sales & Inventory Performance Management**
Monitor key retail KPIs (sell-through, weeks of cover, inventory turnover, sell-in/sell-out gap)
Drive actionable plans on replenishment, rebalancing, markdown, and promotion to optimize inventory health
Identify risks and opportunities (slow movers, overstock, size imbalance) and lead corrective actions
Promotion & Campaign Execution**
Oversee end-to-end execution of CS channel promotions:
System setup governance (pricing, discount configuration, SKU selection)
Stock readiness through allocation planning
Evaluate promotion performance and translate insights into future allocation and buying optimization
Cross-functional Collaboration**
Act as key interface with:
Store & Operations teams (demand signals & execution feedback)
SCM & Logistics (capacity planning, shipment prioritization)
Buying/AP teams (assortment and allocation alignment)
Ensure allocation decisions are fully aligned with commercial strategy and supply constraints
Reporting & Team Enablement**
Oversee accurate and timely reporting framework (daily/weekly/monthly performance dashboards)
Build and maintain core allocation datasets and performance tracking tools
Guide and coach team members on:
System operations
Allocation logic
Data-driven decision-making
Process & Operational Excellence**
Define and standardize allocation and replenishment operating processes
Ensure high level of accuracy, compliance, and discipline in system operations
Identify gaps in current workflows and lead process optimization and simplification initiatives
Drive continuous improvement to support business growth and operational scalability
AI 洞察
优缺点分析
优点
- 阿迪达斯作为全球知名品牌，平台大，资源丰富，职业发展空间广阔
- 职位涉及全链路库存管理，能积累零售分配核心技能，行业通用性强
- 有机会主导系统优化和自动化项目，提升技术和管理能力
- 与多个部门协作，能拓宽商业视野和人脉
- 工作强度可能较大，尤其在促销季和新品上市期间，需要快速响应
- 需要平衡系统自动化和人工干预，对数据敏感度和决策能力要求高
- 跨部门协调时可能遇到利益冲突，需要较强的沟通和说服技巧
- 适合有5年以上零售或供应链分配经验，喜欢数据驱动决策并希望向管理岗发展的专业人士
缺点 / 挑战
暂无明显挑战项
角色解读
- 可向高级分配经理或零售运营总监发展，负责更大区域或更复杂的品类
- 也可转向供应链计划、商品管理或全渠道运营等相邻领域
- 在阿迪达斯体系内，有机会参与全球项目或调任其他市场
- 负责制定和执行零售渠道的库存分配策略，包括新品初始分配和日常补货
- 监控销售与库存KPI（如售罄率、周库存覆盖），通过数据驱动调整分配规则
- 与商品、买手、门店及物流团队协作，确保分配决策符合商业目标
- 主导系统优化和自动化项目，提升分配效率和准确性
- 精通分配/补货系统（SAP, Oracle, JDA），能作为系统负责人管理流程
- 强大的数据分析能力，熟练使用Excel（数据透视表、建模）并擅长数据驱动决策
- 具备初始分配规划经验，能基于门店分级和历史表现优化首批铺货
- 跨部门沟通和项目推动能力，能平衡执行与团队指导
申请策略
- 在求职信中表达对零售运营和库存管理的热情，并提及阿迪达斯品牌的理解
- 准备一个针对初始分配或库存优化的案例，展示量化结果
- 突出分配/补货系统操作经验（SAP, Oracle, JDA），并具体说明在初始分配和优化中的成果
- 强调数据分析能力，用案例展示如何通过Excel或工具提升库存效率
- 列出参与的系统优化或自动化项目，体现推动改进的能力
- 如有团队管理或跨部门协作经验，需详细描述角色和影响
- 如果缺乏系统经验，可先学习SAP或JDA基础知识，或完成相关在线课程
- 提升高级Excel或SQL技能，以便更好地处理数据
面试指南
- 使用STAR法则（情境、任务、行动、结果）结构化回答
- 数据驱动：展示你如何用数据识别问题并制定方案
- 协作导向：强调如何与不同团队达成共识
- 请描述一次你优化分配逻辑或系统参数的案例，以及具体效果
- 如何处理新品上市时初始分配出现的库存不平衡？
- 如何推动跨部门协作解决库存问题？举例说明
- 如果销售数据低于预期，你会如何调整补货策略？
- 你使用过哪些分配系统？谈一个你在系统自动化方面的经验
匹配度报告
65
综合匹配度
外企经理岗位，侧重分配策略与系统优化，发展机会多但工作节奏较快。
适合人群
适合重视技能成长和职业发展，能接受一定工作强度，对零售供应链有热情的求职者。
最强匹配
成长发展匹配
最弱匹配
工作生活匹配
薪资福利70
成长发展80
工作生活50
使命价值60
薪资福利匹配
70中等
外企经理级别薪资有竞争力，但JD未提及具体福利；虽为大公司，薪资处于市场中等偏上。
薪资信号未披露（AI估算：25K-45K/月）
成长发展匹配
80较高
职位有明确的系统优化和自动化项目机会，能提升技能；但JD未明确提及晋升通道。
技术前沿主流现代技术
技术栈SAP、Oracle、JDA、Excel、自动化
成长机会团队指导、项目经验（系统优化）
业务类型profit_center
工作生活匹配
50较低
上海办公室，未提及远程或弹性工作，零售行业可能加班较多，整体WLB一般。
工作模式仅现场办公
办公地点未明确
加班情况未提及（无法判断）
使命价值匹配
60中等
运动品零售行业稳定，但职位本身执行属性较强，社会影响力中等。
行业发展稳定成熟行业
社会影响中性/一般
创新程度稳健跟随主流
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