• Support data governance initiatives related to data quality, standardization, and documentation • Assist in validating and profiling datasets to identify data quality issues and inconsistencies • Help maintain data definitions, data dictionaries, and metadata documentation • Partner with team members to understand business requirements and support basic data mapping efforts • Execute predefined data quality checks and assist in resolving data discrepancies • Support data migration and integration activities through documentation and validation tasks • Use SQL to query and validate data under guidance from senior team members • Collaborate with cross-functional stakeholders to ensure adherence to data governance standards • Document processes, workflows, and data-related procedures clearly and accurately • Contribute to continuous improvement efforts to strengthen data governance processes

• Eigenverantwortliche Planung und Umsetzung von MDM-Projekten mit Fokus auf Qualität, Budget und Zeitvorgaben • Analyse von Anforderungen, Entwicklung tragfähiger Konzepte und Vorbereitung von Management-Entscheidungen • Gestaltung, Implementierung und Optimierung von Prozessen zur Sicherung der Datenqualität und Effizienzsteigerung • Definition von Rollen, Verantwortlichkeiten und Strukturen für eine effektive Data Governance und harmonische Prozessabläufe • Nutzung von Datenanalysen zur Optimierung von Stammdatenmodellen und Unterstützung datengetriebener Geschäftsentscheidungen • Beratung und Begeisterung unserer Kunden mit innovativen Lösungen für Master Data Management & Data Governance

• Develop, validate, and optimize statistical and machine learning models, including regression and XGBoost, to detect and prevent fraud. • Design and implement features to improve model performance and stability. • Build tools and frameworks to support scalable model development, evaluation, and monitoring. • Evaluate model performance and conduct comparative analyses across approaches. • Perform exploratory data analysis and assess data quality across diverse datasets. • Enrich and integrate data from internal and external sources. • Package, deploy, and support models in production environments. • Conduct model governance activities, including validation, documentation, and ongoing monitoring. • Produce reports, visualizations, and summaries to support decision-making.

• Lead the enterprise skills governance model, including decision rights, standards, and operating routines • Run the Skills Council—manage intake, prioritization, and ensure decisions are executed and sustained across the enterprise • Steward the enterprise skills framework, ensuring it is practical, consistent, and aligned to job architecture and learning • Set quality standards for AI-inferred skills, including validation rules and governance controls • Own skills data quality—establish audit routines, resolve issues, and ensure enterprise trust in skills data • Define business requirements and data standards for skills across Workday and related systems • Drive consistent adoption and adherence to skills standards across priority talent processes • Partner with HR Tech, Analytics, and COEs to translate skills strategy into usable standards, insights, and system requirements • Deliver clear insights on skills gaps, supply/demand, and emerging needs for workforce decisions • Translate enterprise business priorities into focused skills governance actions • Enforce enterprise skills standards, guiding functions and segments and resolving deviations • Lead end-to-end program execution with strong project management, stakeholder alignment, and disciplined delivery