HRIS Expert

该职位来源于猎聘 本岗位负责蔡司光学中国人力资源信息系统（HRIS）与人力数据的整体规划与落地： 制定并执行 HRIS 战略及年度项目路线图，推动 Workday、北森、铂金等核心人力资源系统的实施、上线与持续优化； 统筹 HR 数据的治理、安全与合规，构建覆盖组织、人事、薪酬、绩效等核心数据的人力资源数据中枢，并通过数据分析为管理层与业务提供洞察与决策支持。 岗位需深入理解 HR 业务流程，收集并梳理 HRIS 需求，制定系统优化方案（模块开发、接口整合、报表设计等），并与 IT 团队及外部供应商协同，端到端推动项目落地交付。 This role owns the HR information systems (HRIS) and HR data agenda for ZEISS COM China. It defines and executes the HRIS strategy and annual project roadmap, drives the implementation, go-live and continuous improvement of core HR systems including Workday, Beisen and PLATINUM, Coverns the accuracy, security and compliance of HR data, and builds an HR Data Hub covering organization, employee, compensation and performance data. The role translates HR business needs into system solutions — module development, interface integration and reporting — and works closely with the IT team and external vendors to deliver projects end to end.

Responsibilities

• HRIS 战略与项目执行 / HRIS Strategy & Project Execution
• 制定并执行中国区 HRIS 战略与年度项目路线图，对齐业务战略、HR 重点与全球系统规划，明确优先级、里程碑与资源投入。/ Define and execute the China HRIS strategy and annual roadmap aligned with business strategy, HR priorities and the global HR system landscape, with clear priorities, milestones and resourcing.
• 建立 HRIS 项目治理与推进机制，管理需求池、进度、风险与变更，定期向 HR 管理层汇报项目状态与价值实现。/ Establish HRIS project governance covering the demand backlog, schedule, risks and change control, and report project status and value realization to HR leadership. 2. 系统实施与运维支持 / System Implementation & Support
• 负责 Workday、北森、铂金等 HR 系统的实施、配置、测试、上线与版本升级，主导 UAT 与用户验收。/ Lead implementation, configuration, testing, go-live and release upgrades of HR systems such as Workday, Beisen and PLATINUM, including UAT and user acceptance.
• 提供系统日常运维与用户支持，建立问题分级与响应机制，保障月结、年度调薪、绩效周期等关键节点系统稳定运行。/ Provide day-to-day system operations and user support with tiered issue management and response SLAs, ensuring stability at critical cycles (monthly payroll close, annual salary review, performance cycle).
• 需求管理与系统优化方案设计 / Requirement Management & Solution Design
• 主动收集并梳理 HR 各模块与业务部门的系统需求，组织需求评审，输出需求说明与优先级建议。/ Proactively collect and structure system requirements from HR functions and business stakeholders, run requirement reviews, and deliver requirement specifications with prioritization recommendations.
• 制定系统优化方案，覆盖模块开发、接口整合、报表设计与流程自动化等方向，并完成方案评估、成本与影响分析。/ Design system optimization solutions covering module development, interface integration, reporting design and process automation, with evaluation, cost and impact analysis.
• 与 IT 团队及外部供应商协同，推动方案开发、测试与上线，管理交付质量、进度与验收。/ Partner with the IT team and external vendors to drive development, testing and go-live, and manage delivery quality, timeline and acceptance. 4. 数据与安全管理 / HR Data & Security Management
• 建立并执行人力资源数据监控与管理机制，明确组织、人事、薪酬、绩效等核心数据的责任归属、质量规则与校验流程，确保数据准确、完整、及时。/ Establish and operate HR data monitoring and management mechanisms defining ownership, quality rules and validation processes for organization, employee, compensation and performance data, ensuring accuracy, completeness and timeliness.
• 建立数据安全与合规管控机制，覆盖权限分级、敏感数据访问、审计日志与隐私保护，符合《个人信息保护法》《数据安全法》及集团全球数据合规要求。/ Establish data security and compliance controls covering role-based access, sensitive data handling, audit logging and privacy protection, in line with PIPL, the Data Security Law and ZEISS global data compliance requirements.
• 数据分析与洞察 / HR Data Analytics & Insights
• 搭建并维护人力资源数据看板与分析报表体系，覆盖人力成本、编制与人员结构、招聘效率、绩效与人效、流失率等核心议题。/ Build and maintain HR dashboards and analytical reporting covering labor cost, headcount and workforce structure, hiring efficiency, performance and productivity, and attrition.
• 结合业务问题开展专项分析，输出可行动的分析结论，支持管理层与业务决策。/ Conduct targeted analyses on business questions and deliver actionable insights supporting management and business decisions.
• 推动人力数据分析能力建设，为 HR 团队提供数据工具、分析方法与自助分析支持。/ Build HR analytics capability across the HR team through data tools, analytical methods and self-service support. 6. 跨团队协同与供应商管理 / Collaboration & Vendor Management
• 作为 HRIS 与 IT、财务、业务及全球团队的关键接口人，对齐系统、数据与流程标准，推动跨部门议题解决。/ Act as the key interface between HRIS and IT, Finance, business and global teams, aligning system, data and process standards and driving resolution of cross-functional topics.
• 管理外部供应商与实施伙伴，明确服务范围、交付标准与服务水平，评估交付绩效。/ Manage external vendors and implementation partners through clear scope, delivery standards and SLAs, and evaluate delivery performance.
• AI 在 HR 领域的应用前瞻与落地 / AI in HR: Forward-looking Thinking & Implementation
• 跟踪并解读全球 HR 领域 AI 技术趋势（含生成式 AI、Copilot / RPA、HR LLM、AI Agent、人才智能）与监管动态，结合 ZEISS 业务与 HR 战略识别高价值应用场景并形成前瞻性观点。/ Track and interpret global HR AI trends (Generative AI, Copilot / RPA, HR LLM, AI Agent, Talent Intelligence) and regulatory developments; form forward-looking views on high-value application scenarios aligned with ZEISS business and HR strategy.
• 主导或参与 HR AI 应用从用例评估、POC 试点到规模化的端到端落地，与 IT、数据、业务及外部生态伙伴协同，管理需求、风险与变革，推动价值实现。/ Lead or co-drive end-to-end delivery of HR AI use cases — use case evaluation, POC and scale-up — partnering with IT, data, business and external ecosystem, managing demand, risk and change to realize business value. Requirements
• Education 本科及以上学历，信息管理、计算机科学、人力资源管理、统计学或相关专业。/ Bachelor's degree or above in Information Management, Computer Science, Human Resources, Statistics or a related field.
• Experience
• 5 年以上 HRIS、HR 系统实施运维或 HR 数字化相关经验，其中至少 2 年独立负责系统项目端到端交付。/ 5+ years of experience in HRIS, HR system implementation/operations or HR digitalization, with at least 2 years independently owning end-to-end system delivery.
• 具备 Workday 等国际 HR 系统的实施、配置或上线经验；有北森、铂金（PLATINUM）等本地 HR 系统经验者优先。/ Hands-on experience implementing, configuring or rolling out Workday or comparable global HR systems; experience with local HR systems such as Beisen and PLATINUM is a plus.
• 具备 HR 数据治理、数据中台/数据仓库或人力数据分析项目经验，熟悉 HR 数据模型与分析逻辑。/ Experience in HR data governance, data hub/warehouse or people analytics projects, with solid understanding of HR data models and analytics logic.
• Knowledge / Skills
• 系统思维与业务理解：能够将 HR 业务流程转化为清晰的系统与数据方案。/ Systems thinking & business acumen: able to translate HR business processes into system and data solutions.
• 项目管理与推动力：能并行管理多个项目，在资源与时间压力下推动结果达成。/ Project management & drive: manages multiple projects in parallel and delivers under resource and time pressure.
• 数据敏感度与分析能力：熟练使用 Excel 高级功能与 Power BI 等工具，具备 SQL 或数据处理能力者优先。/ Data sensitivity & analytics: advanced Excel and Power BI; SQL and data handling capability preferred.