Data Governance Specialist @ Deutsche Börse
Your Application Journey
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Job Details
Overview
The Data Governance Specialist at Deutsche Börse will roll-out and support the data governance program, aiding in transformation and maintenance phases across multiple business segments.
Your Area of Work
You will support alignment and definition of the Data Domain Model, operationalize DMG roles, and onboard business areas into data governance processes. You will also create, review, and maintain documentation, provide quality assurance and report progress to senior management.
Your Responsibilities
- Support the alignment, definition, and operationalization of Data Domain Model.
- Assist business areas during onboarding into data governance processes.
- Provide guidance, report progress and drive issue resolution.
- Create and maintain documentation including best practices.
- Develop relationships with internal stakeholders for organizational alignment.
Your Profile
Applicants should have experience or education in IT, Data Management, or Data Governance. A solid foundation in data lifecycle management, data modeling, metadata management, and regulatory frameworks is required. Experience in change or project management is an advantage alongside strong communication and analytical skills.
Benefits
- Hybrid Work and Flexible working hours
- Remote work option from EU countries (12 days/year)
- Group Share Plan with discounted company shares
- Pension fund contributions starting at 3%
- Health & Wellbeing packages including Multisport card and insurance
- 25 vacation days
- Fully covered public transport in Prague & free parking
- Flexible Benefit Account and Personal Development budget
Key Skills/Competency
- Data Governance
- Data Management
- Data Modeling
- Documentation
- Stakeholder Engagement
- Regulatory Compliance
- Project Management
- Analytical Skills
- Change Management
- Quality Assurance
How to Get Hired at Deutsche Börse
🎯 Tips for Getting Hired
- Research Deutsche Börse's culture: Study their mission, values, and news.
- Customize your resume: Highlight data governance and management skills.
- Emphasize technical expertise: Demonstrate thorough IT and data analytics background.
- Prepare for interviews: Review case studies on data transformation.