Senior Data Architect - Global HR (f​/m​/x

About Us:

In the Corporate HR Transformation, Operations & Insights department at ZEISS, we shape the future of how ZEISS works and grows worldwide. As a global partner to all HR teams, we design and govern end‑to‑end HR System Landscape, HR Core Processes, and platforms, build strong international communities, and ensure excellent, reliable HR Services Delivery with a data and AI centric perspective.

In all we do, we are leveraging automation, data, and AI to create a high‑performance, insight‑driven HR organization. Joining us means playing a key role in turning data into better decisions, modern technology into smarter ways of working, and global collaboration into real business impact for ZEISS.

• 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 Data Ops (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

If you want to know more about the role, kindly contact the responsible Recruiter:
Sandro Phan ().

• Master’s degree in Computer Science, Information Systems, Data Science, or similar; ideally complemented by relevant certifications or a PhD in data/AI
• 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
• Deep technical understanding of HCM systems (e.g., SAP Success Factors, Workday, Oracle HCM) as well as modern data platforms and integration tools (e.g., Azure, Snowflake, APIs, ETL)
• Strong systems thinking and conceptual strength combined with a hands‑on mentality and experience building modern data architectures for AI/ML
• Excellent communication, change, and stakeholder management skills; able to explain complex topics in a simple way and guide people through transformation
• Ideally experience in organizations with an advanced digital/data agenda and working in global, diverse teams
• English business proficiency is a must‑have, German proficiency is a plus

Diversity is a part of ZEISS. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation, or identity.

Apply now! It takes less than 10 minutes.

Your ZEISS Recruiting Team
Sandro Phan