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

Qualifications:

• Degree in Computer Science, Data Science, AI, Engineering, or related disciplines.

• Relevant experience in Data Analytics, Data Engineering, AI, or Digitalization initiatives.

• Solid knowledge of Databricks, SQL, Python, Power BI, and modern data platforms.

• Understanding of AI technologies and their application in business environments.

• Experience in developing PoCs and transforming ideas into scalable solutions.

• Strong curiosity for emerging technologies and innovation trends.

• Ability to work in a global, cross-functional environment and manage stakeholders effectively.

• Fluent in English communication.