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ME/ECO-CN Group Manager_ME
Bosch Group · Suzhou, Jiangsu, China
On-site / hybridOther 1 day ago
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About the job
Skills mentioned in this posting (10)
KubernetesCI/CDDockerAIAgileProject ManagementDevOpsCloudLLMsGenerative AI
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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.
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.
- 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).
- 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.
- 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.
- Synergy & Communication: Partner across business units to co-create solutions and deliver regular strategic ROI briefings to executive leadership.
- 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).