About us
In the Corporate HR Transformation, Operations&Insightsdepartment 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 HRSystem Landscape,HR Core Processes, and platforms, build strong international communities, and ensure excellent, reliable HRServicesDelivery with a data and AI centric perspectiveInall we do, we areleveraging 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 intoreal businessimpact for ZEISS.
Your roleatTransformation,Operations& Insights
AstheSenior Data ArchitectinourGlobal HR Data, Analytics and AI teamyou 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 withCorporate IT,ZEISS DigitalPartnersand HR functions worldwide to orchestrate data governance, architecture, systems, and AI solutions
Build and steer the HR data infrastructure andDataOps(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 responsibleRecruiter: Sandro Phan (sandro.phan@zeiss.com).
Your profile
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 SuccessFactors, 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 ina simple wayand guide people through transformation
ideally experience in organizations with an advanced digital/data agenda and working in global, diverse teams
English businessproficiencyis amust-have,Germanproficiencyis 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
ZEISS is an internationally leading technology enterprise operating in the fields of optics and optoelectronics. In the previous fiscal year, the ZEISS Group generated annual revenue around 11 billion euros in its four segments Semiconductor Manufacturing Technology, Industrial Quality & Research, Medical Technology and Consumer Markets (30 September 2024).
With over 46,000 employees, ZEISS is active globally in around 50 countries with more than 60 sales and service locations, around 40 research and development facilities, and 35 production facilities worldwide (30 September 2024). Founded in 1846 in Jena, the company is headquartered in Oberkochen, Germany. The Carl Zeiss Foundation, one of the largest foundations in Germany committed to the promotion of science, is the sole owner of the holding company, Carl Zeiss AG.
Data privacy: www.zeiss.com/data-protection
Imprint: http://zeiss.com/publisher
This is ZEISS's official LinkedIn account. It follows the ZEISS Netiquette: www.zeiss.com/netiquette
