Job
- Level
- Senior
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Oberkochen
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Rolle entwirfst du die globale HR-Datenarchitektur, integrierst Systeme und steuerte die Dateninfrastruktur, während du Datenpipeline- und Integrationsaufgaben übernimmst und Stakeholder effektiv unterstützt.
Job Technologien
Deine Rolle im Team
- As the Senior Data Architect in our Global HR Data, Analytics and AI team you will…
- Own the target picture, design, and continuous development of the global HR Data Architecture, embedded in the ZEISS Enterprise Vision
- Define how HR data is structured, integrated, and processed - with a focus on modular, integrated architectures, real-time analytics, and AI/ML readiness
- Collaborate closely with Corporate IT, ZEISS Digital Partners and HR functions worldwide to orchestrate data governance, architecture, systems, and AI solutions
- Build and steer the HR data infrastructure and DataOps (e.g., HR Data Landing Zone on Azure, Azure Warehouse, SAP Business Data Cloud)
- Take on hands-on data engineering tasks initially (pipelines, modelling, integration), and later steer the corresponding delivery capabilities
- Translate complex technical topics into clear messages, actively manage stakeholders, and support change processes in a global HR context
Unsere Erwartungen an dich
Ausbildung
- Master's degree in Computer Science, Information Systems, Data Science, or similar; ideally complemented by relevant certifications or a PhD in data/AI
Qualifikationen
- Deep technical understanding of HCM systems (e.g., SAP SuccessFactors, Workday, Oracle HCM) as well as modern data platforms and integration tools (e.g., Azure, Snowflake, APIs, ETL)
- Excellent communication, change, and stakeholder management skills; able to explain complex topics in a simple way and guide people through transformation
- English business proficiency is a must-have, German proficiency is a plus
Erfahrung
- 8-10 years of experience in data architecture/data engineering, with proven experience in HR systems or the HR data domain in global or multi-regional environments
- Strong systems thinking and conceptual strength combined with a hands-on mentality and experience building modern data architectures for AI/ML
- Ideally experience in organizations with an advanced digital/data agenda and working in global, diverse teams
Benefits
Work-Life-Integration
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Carl Zeiss AG
ZEISS ist ein führendes internationales Technologieunternehmen, das in den Bereichen Optik und Optoelektronik tätig ist.
Description
- Unternehmensgröße
- 50-249 Employees
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Industrie, Produktion
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