Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
- Salary
- from 50.000 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will coordinate data governance activities, ensure data quality and compliance, support AI and analytics use cases, and document relevant data for People data management.
Job Technologies
Your role in the team
- As a Data Steward, you will play a key role in ensuring the quality, compliance, and effective use of People data.
- You will coordinate data governance activities, manage data access, and enable AI and analytics use cases while supporting the organization's commitment to data protection and regulatory standards.
- Act as operational coordinator for all People data governance topics.
- Create and maintain data documentation (definitions, lineage, limitations).
- Ensure transparency on data quality and known data gaps.
- Route and follow up on data issues with source system owners.
- Ensure compliance with GDPR, AI governance, and internal standards for all analytics and AI activities in the people function.
- Document usage approvals and ensure auditability.
- Manage and approve access requests to sensitive People data.
- Enable data readiness for AI/analytics use cases (availability, clarity, governance).
- Support governance checks for new use cases (data, privacy, AI assessments).
- Coordinate between use case owners and data owners.
- Ensure demand processes and governance steps are followed.
- Support scaling of People Analytics & AI use cases without governance bottlenecks.
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Our expectations of you
Education
- Education in law, data, or IT (at least Bachelor's degree).
Qualifications
- Starkes Verständnis von Data Governance Frameworks (Data Owner/Steward-Modell), Datenqualität, Linienführung und Dokumentationsprinzipien.
- Knowledge of GDPR/data protection principles and AI governance requirements (EU AI Act, internal AI standards).
- Ability to translate requirements into practical operational processes.
- Strong coordination and communication skills.
- Ability to drive alignment without formal ownership.
- Analytical and structured thinking: ability to document data definitions and logic, identify inconsistencies, gaps, and risks, and ensure transparent assumptions for analytics.
- Process and governance mindset: focus on standardization, documentation, process adherence, audit readiness, and traceability.
- Technical affinity: good understanding of data flows and analytics environments (e.g. Databricks, Power BI).
- Ability to bridge business and technical teams.
Experience
- First experience in a data-related project management role would be a plus.
- Experience with People data context (HR systems, job architecture, etc.) is a nice-to-have.
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What we offer
- Hours per week: 30 - 38.5.
- Annual minimum gross salary (Euro): 50,000 (full-time basis).
- Start Date: from now on.
- We will agree on your actual salary depending on your education and experience during the recruiting process.
- Additional meetings are held in person at our headquarters in Vienna.
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Benefits
Work-Life-Integration
- 🏠Home Office
- ⏰Flexible Working Hours
- ⏸Educational Leave/Sabbatical
- 👔Textile Service
- 🚌Excellent Traffic Connections
- 😇Time for External Voluntary Work
More net
Health, Fitness & Fun
- 🎳Team Events
- 🙂Health Care Benefits
- 🏋🏿♂️Fitness Offers
- 👩⚕️Company Doctor
- 🧠Mental Health Care
- 🚲Bicycle Parking Space
- 👨🏻🎓Mentor Program
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
UNIQA Insurance Group AG
Wien
The UNIQA Group is one of the leading insurance groups in its core markets in Austria and Central and Eastern Europe. We have around 40 companies in 19 countries, and more than 10 million customers.
Description
- Company Size
- 250+ Employees
- Founding year
- 1999
- Language
- German, English
- Company Type
- Established Company
- Working Model
- Hybrid
- Industry
- Banking, Finance, Insurance
Dev Reviews
by devworkplaces.com
Total
(3 Reviews)3.4
Career Growth
3.6Engineering
2.8Culture
3.7Workingconditions
3.5