ME/ECO-CN Group Manager_ME

  • Full-time
  • Legal Entity: Bosch Automotive Products (Suzhou) Co., Ltd.

Company Description

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

 

Job Description

The ME/NE-CN Area Digitalization Group Manager defines and executes the digital transformation strategy across regional and global engineering landscapes. This role leads a multidisciplinary technical team (AI, software, data, product, and project management) to deliver business value, bridging local initiatives with global frameworks through cross-divisional collaboration and digital capability building.

  1. Strategic Leadership & Frameworks: Formulate the regional digital roadmap; establish the local operating model; and align local initiatives with global standards (SAFe 6.0, DevOps, TOGAF).
  2. Team Leadership & Capability Building: Direct and mentor a multidisciplinary technical team; design upskilling roadmaps (GenAI, data, IT); and foster an agile, data-driven innovation culture.
  3. Delivery & Value Realization: Oversee end-to-end digital project delivery; productize capabilities for local and global acquisition to ensure budget ROI; and scale high-impact local solutions globally.
  4. Synergy & Communication: Partner across business units to co-create solutions and deliver regular strategic ROI briefings to executive leadership.

Qualifications

  • Education: Completed master study with background in manufacturing/engineering/R&D/IT or SW technology.
  • Working Experience: Experience: 5+ years in manufacturing/R&D (automotive/industrial preferred) and 3+ years leading digital products, complex delivery programs, or multidisciplinary technical teams.
  • Experience in SW/IT/AI technology domains
  • Experience deploying advanced AI/GenAI solutions to production.
  • Deep familiarity with R&D and engineering business domains.
  • Knowledge/Skills: Strong grasp of GenAI (LLMs, Agents), cloud architecture, data pipelines, containerization (Docker/Kubernetes), CI/CD, and agile frameworks (SAFe, Scrum).
  • Certification/experience in Enterprise Architecture (TOGAF).

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