Lead of Data Transformation and Process Automation
6 days ago
We have an opening for the position of **Lead of Data Transformation and Process **Automation Tech-Office (f/m/x).
We are ramping up our regional TECH-OFFICE in Singapore to investigate on technologies that are suitable to improve data transformation and process automation services for our business functions in APAC, ZA & RU.
As a part of our team, you will tackle solutions inhouse and find opportunities to create immediate value by building advanced solutions. Together with a small team of young professionals you will lead the tech-office and develop suitable solutions for our business counterparts to facilitate data driven decision making and process automation.
In this role you will be responsible to monitor technology trends, explore potential use cases together with business functions and bring them into reality. Furthermore, you will be responsible to build up a collaboration network with our BMW tech-offices around the globe.
**Task and Accountability**:
- Create close relationship with business functions and other tech-offices to foster ideation and identify use cases.
- Responsible business analyst for implementation of use-cases using advanced data modeling and analysis techniques.
- Capture gained know-how, and experiences to make it available by active sharing within the community.
- Hands on to latest technological advancements in the field of data science.
- Screen for new technologies by observing Tech Radar, Start-Up scene and local universities.
- Responsibly for a small team of young professionals.
**Talent, Experience and Qualifications**:
- 5+ years in Data Science, ideally in Automotive, Captive / Financial Services, Banking environment.
- A Master's degree in Data Engineering, Data Science, Computer Science, Mathematics, Statistics, or a related field.
- Excellent & proven skills in Data Science, AI, Big Data, and Machine Learning.
- Proven experiences in using AWS Cloud Services (S3, Glue, Athena, EC2, Redshift, SageMaker, RDS).
- Solid knowledge and experiences in Data Engineering (Spark/SQL): Building automated ETL pipelines, data storage/databases/NoSQL and DWH schemas.
- Understanding of different data visualization tools for i.e., AWS QuickSight, Power BI, Tableau.
- Strong knowledge about Process automation and Robotics (ideally with UI-Path).
- Excellent analytical skills, great communication and presentation skills.
- Can-Do-Person with start-up mentality and entrepreneurial spirit.
- You should be a self-starter, who likes to take initiatives and bring in creative ideas.
- First leadership and team building experiences.
- International work experience is an advantage.
- Fluent in English. German will be beneficial, further APAC related language is a plus.
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