Main tasks & responsibilities
- Monitor, maintain, and stabilize integrations between Collibra, LeanIX, OneTrust, Atlan, and other architecture, data, and governance platforms.
- Analyze and resolve interface errors, ensuring reliable data exchange and consistent metadata across systems.
- Monitor and optimize automated metadata flows using REST APIs, JSON, OpenAPI, ETL/ELT processes, and event-based integration patterns.
- Operate, monitor, and maintain technical governance workflows, including intake processes, approvals, reviews, lifecycle management, role models, and audit requirements.
- Ensure consistent linking of AI use cases, AI models, AI agents, data, applications, and business processes within the existing governance architecture.
- Maintain operational documentation and ensure traceable, audit-proof records of technical changes.
- Coordinate incident resolution, maintenance activities, and operational improvements with Data & AI Governance, IT Architecture, Cyber Security, Data Protection, and business stakeholders.
- Analyze and prioritize operational issues, implement targeted improvements, perform testing, and manage controlled production deployments.
- Support the stability, security, data quality, and regulatory compliance of the existing AI Management System (KIMS).
Requirements
- Monitor, maintain, and stabilize integrations between Collibra, LeanIX, OneTrust, Atlan, and other architecture, data, and governance platforms.
- Analyze and resolve interface errors, ensuring reliable data exchange and consistent metadata across systems.
- Monitor and optimize automated metadata flows using REST APIs, JSON, OpenAPI, ETL/ELT processes, and event-based integration patterns.
- Operate, monitor, and maintain technical governance workflows, including intake processes, approvals, reviews, lifecycle management, role models, and audit requirements.
- Ensure consistent linking of AI use cases, AI models, AI agents, data, applications, and business processes within the existing governance architecture.
- Maintain operational documentation and ensure traceable, audit-proof records of technical changes.
- Coordinate incident resolution, maintenance activities, and operational improvements with Data & AI Governance, IT Architecture, Cyber Security, Data Protection, and business stakeholders.
- Analyze and prioritize operational issues, implement targeted improvements, perform testing, and manage controlled production deployments.
- Support the stability, security, data quality, and regulatory compliance of the existing AI Management System (KIMS).
- Requirements
- Degree in Computer Science, Business Informatics, Data Science, or a comparable qualification.
- Several years of hands-on experience operating, configuring, maintaining, or developing governance and metadata management platforms, particularly Collibra.
- Strong knowledge of Enterprise Architecture, Solution Architecture, API-based integrations, data modeling, and platform architectures.
- Practical experience with LeanIX, OneTrust, and integrations between architecture, data protection, and governance platforms.
- Technical expertise in REST APIs, JSON, OpenAPI, ETL/ELT processes, and event-based integration.
- Solid understanding of Data Products, Metadata Management, AI Governance, and data quality.
- Knowledge of regulatory and compliance requirements, particularly GDPR and the EU AI Act.
- Experience monitoring and optimizing governance workflows, approval processes, automation, and audit-proof documentation.
- Proficiency in Jira and Confluence, with experience working in agile environments and product organizations.
- Strong analytical, problem-solving, and organizational skills.
- Ability to work independently, manage complex technical tasks, and maintain high quality standards.
- Excellent communication skills and ability to collaborate with technical and non-technical stakeholders.
- Very good written and spoken English.
Nice to have
- Experience with additional metadata and data governance platforms such as Atlan, Alation, or Microsoft Purview.
- Experience with Snowflake, Databricks, Azure Data & AI Services, or comparable cloud and data platforms.
- Experience supporting or maintaining an AI Management System (KIMS).
- Familiarity with cross-platform AI governance architectures and AI use case lifecycle management.
- Experience in enterprise environments with complex governance, security, and compliance requirements.
- German language skills.