Data Governance Manager

Solaris is Europe’s leading embedded finance platform, pioneering Banking-as-a-Service to bridge the gap between financial technology and licensed banking. Founded in 2016 and headquartered in Berlin, Solaris enables fintechs, digital ecosystems, and multinationals to embed accounts, cards, lending, and payments directly into their own products, creating seamless financial experiences for their users. As a fully licensed German bank, Solaris combines the highest standards of IT security and regulatory resilience with a modular, highly scalable infrastructure.

Today, Solaris is driving the next evolution of financial services by transitioning into an AI-native banking platform, ensuring European businesses can deploy secure, adaptable financial products at scale.

• Administer and own the company wide data catalog, including defining and maintaining regulatory data assets, updating the business glossary, and ensuring technical metadata from automated pipelines is correctly tagged and categorized.
• Develop automated end-to-end data lineage across  operational and analytical systems to ensure the bank knows exactly where critical data originates and where it lands.
• Further develop the company Data Governance Operating Model in compliance with BCBS 239, DORA and GDPR, by developing the policies and procedures for the business processes owned by the Data Department including managing and accessing the data by the users.
• Define and maintain ownership concept and for every data product, starting from data marts and dashboards up to data applications
• Define data owners and resolve conflicts based on data governance policies.
• Design company wide data contracts and translate them into detailed technical requirements
• Represent the department in internal and external audits ranging from ad-hoc data requests up to comprehensive documentation.
• Define, maintain and follow SLAs for the overall data platform and critical data elements.
• Further develop the data quality framework and design quality controls for critical data elements.

Depending on your level of experience, your responsibilities and scope of role will range. We don’t care much about fancy titles, but rather about real personal and professional development, as laid out in our learning framework. Let’s figure together out how you can contribute to our team.

• Degree in Data Management, Computer Science, Mathematics, (Business) Informatics or Finance and Economics.
• Minimum 8 years experience in a role of data governance professional in a fast pace environment and a regulated industry.
• Ability to take frameworks like BAIT, MaRisk, DORA, and the EU AI Act and turn them into concrete technical requirements.
• Define automated data controls, lineage and data quality metrics in a way that satisfies strict BaFin or Bundesbank auditors.
• Understanding principles like data minimization, anonymization/pseudonymization, and how to govern "Right to be Forgotten" requests across interconnected systems and the ability to translate them into technical concepts.
• Hands-on experience with modern cloud data governance tools (e.g., Atlan, Collibra, Snowflake Horizon). 
• Proficient SQL, data profiling  and template language (e.g. jinja) skills.
• Solid understanding of data management principles, including ETL/ELT, data-warehousing, version control (Git), CI/CD, and automated testing.
• Ability to work with a modern data stack and manage data governance artefacts as code (e.g. Snowflake, dbt, airflow, elementary).
• Excellent English language skills, and preferable German language skills
• Ability to persuade busy product teams and engineering leads to prioritize data governance and documentation, even when they are focused on shipping new features.
• Acting as an objective mediator when disputes arise over data ownership.
• The ability to simplify complex data concepts and train "Data Champions" across different business units, building an organic data culture.
• Strategic thinking and sense of business criticality and prioritisation. 
• Ability to mentor and inspire team members.
• Design "lean" governance workflows that protect the bank without slowing down innovation.
• Comfortable working with AI tools, thinking critically about AI outputs, and contributing to a culture of responsible AI use. We expect you to demonstrate comfort with AI-assisted workflows and a willingness to continuously develop their AI capabilities as the technology evolves.