JOB DESCRIPTION > Data Landscape Ownership: own the overall purchasing data landscape, ensuring data is accurately integrated and maintained across systems. > Data Architecture: Develop and steer the global data architecture to leverage efficient data management and intelligence. > Data Governance: Establish and enforce data governance policies, standards, and best practices to ensure data quality and compliance. > Single Point of Data Truth: Ensure the realization of a single point of data truth within the purchasing organization. > Digitalization Projects: Integrate major purchasing digitalization projects and the complex SAP R/3 and SAP S/4HANA-based purchasing digital infrastructure into the purchasing data model. > Data Integration: Integrate further data sources, both internal and external, into the purchasing data model and implement processes for this integration. > Logical Data Model Ownership: Own the Logical GF Purchasing Data Model, ensuring its accuracy and alignment with business needs. > Data Quality Assurance: Conduct regular audits of data to identify and resolve discrepancies, ensuring high data quality standards. > Training and Support: Provide training and support to internal users on data management best practices and system usage. > Data Literacy: Ensure that the purchasing organization increases its data literacy capacity.
QUALIFICATIONS > Education: Bachelor's degree in Data Science, Information Technology, Business, or a related field. > Experience: Minimum of 7-9 years of experience in data management, data governance, or a related role. > Technical Skills: Proficiency in data management systems, databases, and data governance tools. Strong PBI and similar tool skills are a plus. > Communication Skills: Excellent verbal and written communication skills. Ability to work effectively with internal stakeholders, also on management level > Strong attention to detail and organizational skills. > Problem-Solving: Ability to identify and resolve issues related to data management and governance. > Entrepreneurship and Visionary Thinking: Demonstrate ability to think strategically and innovatively, driving data initiatives that align with the organization's long-term goals. > Experience with specific data management and governance systems (e.g., SAP SAC, AWS, Azure or similar). > Knowledge of industry-specific data management practices and standards.