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研发效能与运营高级专员-XC

BoschGroup

Suzhou, Jiangsu, China permanent

Posted: May 12, 2026

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Quick Summary

Lead, direct, and control all activities of Factory Laundry Care Nanjing (FLCNa) to achieve the short and medium-term financial and operating objectives set by the overall corporate business plan.

Job Description

Introduction:

Lead, direct, and control all activities of Factory Laundry Care Nanjing (FLCNa) to achieve the short and medium-term financial and operating objectives set by the overall corporate business plan. Responsible for activities such as maintenance, manufacturing, quality control, engineering, supply and logistics, material planning, continuously improve process and cost controlling, safety and environmental performance, and occupational health.

 

 

以战略思维和全局观统筹智驾(ADAS)研发全流程及配套运营优化,通过AI原生方法搭建研发效率实验室(Efficiency Lab),以标准化、数字化、轻量化AI工具赋能团队,系统性解决ADAS研发运营效率瓶颈与成本优化痛点,实现降本提效与团队获得感双提升,支撑公司智驾战略高质量落地。

 

    从公司战略视角梳理ADAS研发全流程,适配落地敏捷/精益研发方法论,聚焦ADAS领域效率卡点,定制并推进各团队效率提升方案,确保ADAS进度不再因流程问题延误。

    搭建贴合公司战略的研发效能评估指标体系,制作数据看板实现数据自动采集分析,形成效率改进闭环,强调用数据识别机会而非单纯考核。

    以Efficiency Lab机制立项推进效率提升专项项目,小步快跑验证AI工具场景(如代码辅助、自动化测试、智能报表等),不强依赖特定模型(如Claude),注重团队实际痛点与参与体验,让研发人员主动感受到效率带来的工作幸福感。

    协同工程领域专家推动研发运营数字化与AI应用,落地智能报表、自动化稽核、环境巡检等轻量化方案,缩短人工工时在运营领域的占用,建立AI应用评估与迭代机制,优先解决“烦琐耗时不增值”的工作。

    结合财务合规战略,梳理研发费用与资源使用优化空间,以“提效即降本”的柔性方式搭建风控及优化体系,形成研发费效优化的PDCA闭环,平衡局部投入与全局收益。

 

(一)学历专业

本科及以上,财务管理、计算机、软件工程、项目管理等相关专业优先。

(二)工作经验

2年及以上研发效率提升/研发运营优化经验;有ADAS或智能汽车研发相关经验者优先;熟悉研发全流程及订单、成本、费用管理痛点,有数字化/AI工具落地实操经验(不要求特定大模型,但具备快速评估与试错能力)。

(三)专业能力

    结构性思维推动研发流程优化、敏捷/精益研发方法论,能结合公司战略全局设计落地流程体系。

    具备成本业务和数据导向思维,熟练使用SQL、Tableau/Power BI,可结合战略搭建效能、成本、费用指标体系。

    有战略思维与全局观,能识别研发运营瓶颈并制定落地优化方案,具备资源整合与方案推动能力。

    了解AI在研发运营领域轻量化应用场景,能结合团队实际痛点设计Efficiency Lab验证方案者优先(不强制绑定特定AI模型)。

    具备研发成本分析、费用风控能力,能以提效为导向柔性搭建管理体系,平衡局部与全局管控目标。

(四)综合能力

    具备跨部门沟通协调与资源整合能力,能以“服务+引导” 方式推动多团队协同落地研发运营体系。

    有较强项目管理能力,能结合研发战略推进专项优化项目,把控与公司整体战略的一致性。

    问题解决能力突出,有战略思维与全局观,能平衡局部优化与公司发展,成本、风险与全局协同意识强。

    持续学习能力强,能结合行业趋势与公司战略,快速适配落地研发效率、数字化、AI应用新技术。

持PMP、ACP、CMA、CPA等证书者优先;有研发效能平台建设、内部效率实验项目经验者优先;熟悉汽车研发、智能制造领域研发流程及行业战略者优先;有在团队内部成功推广AI工具并获积极反馈的实际案例者加分。

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