Data and Process Lead (m/f/d)
Böblingen
Aktualität: 19.05.2022
19.05.2022, Advantest Europe GmbH
Böblingen
Data and Process Lead (m/f/d)
Own the development and implementation of a process and data strategy, including knowledge and document management, for Operations across the whole Supply Chain; ensure alignment with Strategic Roadmaps, Enterprise Blueprints and Technology Standards
Explore and lead improvement initiatives to design a future-proof Supply Chain process and data architecture and to drive digital enablement; Drives consistency and quality of the Architecture artifacts (business process architecture, data architecture, etc.)
Analyze, define, and own Layer 4 processes at the enterprise level, including the definition of process owners, metrics and roadmap of key gaps and improvement areas
Educate the business on process and data methodologies and the future state architecture
Implement standard data interfaces with partners and suppliers with the goal to increase data quality and reliability significantly
Develop transparent and well understood enterprise data governance processes, rules, and technologies to support them, identify and promote best practices for data modeling within information areas, and provide oversight for all activities related to data cleansing, data quality, and data consolidation
Master's degree plus several years' experience in data governance and data management
Good understanding of best practices in product management, demand planning and supply chain processes
LEAN, Six Sigma & or ATS (Analytical Trouble Shooting) experience
Scripting skills of any RPA Tool like Blue Prism, Automation Anywhere or Work Fusion; and background in database design and data warehousing concepts would be desirable.
Certification or proven experience modeling in Business Process Modeling Notation (BPMN 2.0)
Demonstrated ability to apply strong competence in structured and rigorous working methods, pragmatic problem solving and strong influencing and communication skills
Experience working as data analyst and data scientist in semi-conductor industry preferred
Good collaboration and communication skills across different cultures
Effective communication in English and German