AI & Data Solution Architect China Hub
Summary
The AI & Data Solution Architect identifies emerging AI and data technologies in China, develops prototypes, and scales successful innovations into production-grade solutions for Mercedes-Benz Operations. The role involves managing the end-to-end data lifecycle and collaborating with global teams using tools like Databricks and Power BI.
Objectives\:
The role identifies emerging Data and AI technologies in China, rapidly validates their potential through prototypes and pilots, and enables the transfer of successful innovations into scalable solutions for Mercedes-Benz Operations worldwide. Robust, scalable data architectures that enable advanced analytics, machine learning, and data-driven decision-making across the organization are designed, build and maintained. Owning the end-to-end data lifecycle—from ingestion and transformation to storage and access—ensuring high data quality, reliability, and performance. Partner closely with analytics, engineering, and business teams to translate data requirements into efficient, production-grade data solutions that support operational excellence and innovation.
Key Responsibilities
1.Technology Scouting & Innovation radar
Monitor emerging AI, Data and Digitalization trends in China
Identify relevant technologies, startups and solution providers
Evaluate applicability for Mercedes-Benz Operations
Bring outside-in perspectives and best practices into MO
2.Rapid Prototyping & PoCs
Develop and coordinate Proofs of Concept on the MO360 Data Platform
Quickly validate business and technical value of new ideas
Support pilot implementations together with global MO departments
3.Data & AI Solutions
Build data-driven prototypes using Databricks, Power BI and AI services
Support analytics and AI use cases on top of existing MO data products
Collaborate with business departments to identify improvement opportunities
Help scale successful prototypes into productive solutions
Focus on leveraging central available solution and standards
4.(Global) Collaboration & enablement
Work closely with data scientists, analysts, and business stakeholders to understand data needs and enable efficient access to trusted datasets.
Translate analytical and operational requirements into reliable, reusable data assets.
Support self-service analytics by improving data discoverability and accessibility.
Act as interface between China Hub and MO headquarters
Collaborate with global Data Analytics, Data Platform and AI teams
Support knowledge exchange across regions
Communicate findings and recommendations to stakeholders and management