About this role
Responsibilities
- Analyze end-to-end data flows across the application landscape to identify data minimization and protection requirements.
- Develop and implement a comprehensive strategy for data anonymization, pseudonymization, and synthetic data generation.
- Facilitate workshops with diverse stakeholders from business, IT security, and enterprise architecture to align technical constraints with regulatory obligations.
- Define functional and technical requirements to support future procurement processes and market consultations for data management tools.
- Maintain referential integrity and business usability of structured and unstructured data in non-production environments.
- Ensure the protection of personal and sensitive data through effective data selection and minimization strategies.
Requirements
- 7+ years of experience in Data Architecture , Data Governance , Data Management , or Data Engineering . Proven experience analyzing and documenting end-to-end data flows across multiple applications and databases.
- Experience with Data Masking , Anonymization , Pseudonymization , or Synthetic Data . Proven experience translating testing objectives into concrete test data requirements for functional, integration, and performance testing.
- Experience analyzing, optimizing, and documenting security processes and governance.
- You possess strong stakeholder management skills and the ability to structure complex situations independently.
- You're able to work autonomously and provide end-to-end deliverables.
- You are fluent in English with fluency in French or Dutch . Nice to Haves Experience defining functional and technical requirements for a Tender , RFP , or product selection process.
- Master’s degree in Science , Law , or IT . Knowledge of security management frameworks such as ISO 2700x , COBIT , NIST , or OWASP .