Product Owner

产品负责人（Product Owner）

在技术解决方案部门研发车辆与驱动系统团队（Tech Solution R&D Vehicle and Drive Systems Team）担任产品负责人。负责本地IT产品开发、总部产品/项目的落地推广，以及面向研发未来业务的数字化转型战略。作为技术前沿推动者，推动并实施基于数字化和人工智能（AI）的解决方案，以满足中国研发业务需求。

与研发工程和验证职能团队紧密合作，识别并确定高价值的数字孪生（Digital Twin）和数字化验证（Digital Validation）应用场景及其优先级。打通 CAD/DMU、PLM/PDM、CAE与仿真、可视化/VR、车辆数据以及实车测试/验证环境中的工程数据和流程，建立一体化的数字主线（Digital Thread），支持虚拟工程和验证工作。

推动包括基于VR的设计评审、Seat-Buck / ART集成、虚拟人机工程、基于仿真的验证以及其他数字孪生应用场景，减少对物理样车/实体原型的依赖，加快验证周期，并支持研发团队在更早阶段做出工程决策。

作为研发业务、数字孪生技术与IT之间的关键接口人，提供必要的技术和产品专业能力，以评估解决方案概念、定义目标架构和集成要求、评估模型及数据质量、对外部合作伙伴提出的技术方案进行评估和质询，并推动解决方案从概念和 PoC（概念验证）阶段逐步实现可持续的业务应用。确保数字孪生解决方案不会停留在相互独立的试点项目，而是发展成为可以复用、规模化推广，并真正集成到研发工程流程中的能力。

与总部相关团队以及全球数字化验证（Digital Validation）战略保持一致，对齐中国市场特定的需求和应用场景。识别全球解决方案在中国复用的机会，同时探索由中国团队开发的数字孪生能力向全球研发体系输出和贡献的可能性。

此外，负责并持续开发指定的本地研发数字化产品，例如 FMS、CELL及相关AI赋能解决方案，同时支持总部相关产品（例如 NERD）在中国的推广落地和本地化适配。

针对所负责的数字化产品组合，确保产品交付、供应商管理、系统集成、质量、安全、合规以及业务端的落地应用。Product Owner

Work as a product owner in Tech solution RD vehicle and Drive systems team. Responsible for local IT product development, central product/project rollout and digital transformation strategy for RD future business. Work as tech front runner to drive and implement digital and AI based solutions for RD China business requirements.

Work closely with R&D engineering and validation functions to identify and prioritize high-value Digital Twin and Digital Validation use cases. Connect engineering data and processes across CAD/DMU, PLM/PDM, CAE and simulation, visualization/VR, vehicle data and physical test/validation environments, and establish an integrated digital thread supporting virtual engineering and validation. Drive use cases such as VR-based design reviews, Seat-Buck / ART integration, virtual ergonomics, simulation-based validation and other Digital Twin scenarios that can reduce dependency on physical prototypes, accelerate validation cycles and enable earlier engineering decisions.
Act as the key interface between R&D business, Digital Twin technology and IT. Provide the technical and product expertise required to assess solution concepts, define target architecture and integration requirements, evaluate model and data quality, challenge technical proposals from external partners, and steer solutions from concept and PoC towards sustainable business adoption. Ensure that Digital Twin solutions are not developed as isolated pilots, but become reusable and scalable capabilities integrated into R&D engineering processes.

Align China-specific requirements and use cases with headquarters counterparts and the global Digital Validation strategy. Identify opportunities for reuse of global solutions in China as well as potential contribution of China-developed Digital Twin capabilities to the global R&D ecosystem.

In addition, own and continuously develop selected local R&D digital products such as FMS, CELL and related AI-enabled solutions, and support the rollout and local adaptation of relevant headquarters products such as NERD. Ensure product delivery, supplier steering, system integration, quality, security, compliance and business adoption across the assigned digital product portfolio.

任职要求:

汽车工程、机械工程、机电一体化、计算机科学、系统工程或其他相关技术专业，本科或硕士学历。

至少 5年相关专业工作经验，经验领域包括数字孪生（Digital Twin）、数字化验证（Digital Validation）、虚拟工程（Virtual Engineering）、仿真/CAE、工程IT或数字化产品开发等；具有汽车研发（Automotive R&D）领域相关经验者优先。

具备经过实践验证的数字孪生、数字化验证或虚拟工程解决方案开发及实施经验，能够覆盖从应用场景定义、概念开发，到实施落地及业务应用的完整过程。

深入理解数字孪生和数字化验证相关概念，包括数字主线（Digital Thread）、模型生命周期（Model Lifecycle）、工程数据集成（Engineering Data Integration）、验证与确认（Verification & Validation）。

对汽车整车开发及验证流程有良好理解，能够识别业务挑战，并将其转化为具有高业务价值的数字孪生应用场景。

具备涉及 CAD/DMU、PLM/PDM、CAE/仿真、可视化/VR以及实物测试环境的工程数据和工具链相关经验。

具有相关工程技术生态系统的使用经验者优先，例如 Siemens、Dassault Systems、PTC、Ansys、Altair或MATLAB/Simulink。

能够将复杂的研发需求转化为产品需求、解决方案概念、产品路线图以及可衡量的业务成果。

具备丰富的产品负责人（Product Owner）经验，包括解决方案评估、供应商管理、系统集成、产品推广落地以及持续改进。

具备优秀的跨职能协作及利益相关方管理能力，能够与汽车工程、IT、总部团队及外部技术合作伙伴开展有效合作。

具备优秀的分析、问题解决及沟通能力，拥有较强的实践执行能力和结果导向思维；要求英语流利，具备德语能力者优先。

Bachelor’s or Master’s degree in Automotive Engineering, Mechanical Engineering, Mechatronics, Computer Science, Systems Engineering or a related technical field.

Minimum 5 years of relevant professional experience in Digital Twin, Digital Validation, virtual engineering, simulation/CAE, engineering IT or digital product development, preferably within automotive R&D.

Proven experience in developing and implementing Digital Twin, Digital Validation or virtual engineering solutions from use-case definition and concept development through implementation and business adoption.

Strong understanding of Digital Twin and Digital Validation concepts, including digital thread, model lifecycle, engineering data integration, verification and validation.

Good understanding of automotive vehicle development and validation processes, with the ability to identify and translate business challenges into high-value Digital Twin use cases.

Experience with engineering data and toolchains involving CAD/DMU, PLM/PDM, CAE/simulation, visualization/VR and physical testing environments.

Experience with relevant engineering technology ecosystems such as Siemens, Dassault Systems, PTC, Ansys, Altair or MATLAB/Simulink is an advantage.

Ability to translate complex R&D requirements into product requirements, solution concepts, roadmaps and measurable business outcomes.

Strong product ownership experience, including solution evaluation, supplier steering, system integration, rollout and continuous improvement.

Strong cross-functional collaboration and stakeholder management skills across automotive engineering, IT, headquarters teams and external technology partners.

Excellent analytical, problem-solving and communication skills, with a hands-on and result-oriented mindset; fluent English is required, German is an advantage.