Die ODDO BHF SE zählt zu den führenden Adressen der unabhängigen Privatbanken Deutschlands. Unsere Kunden sind sehr vermögende Privatanleger, vorwiegend mittelständische Unternehmen sowie institutionelle Investoren. Wir haben uns der professionellen und individuellen Beratung verschrieben. An unsere Mitarbeiter stellen wir die hohe Anforderung, dass sie mit ihrem Arbeitsbeitrag und ihrer Persönlichkeit dieser Maxime entsprechen.
Aufgaben
- Play a key role in shaping Group-wide data governance by ensuring data is trusted, discoverable, and responsibly used across the organization, with a strong focus on the Group Data Catalog (Data Galaxy)
- Contribute to the development of a pragmatic AI governance framework by supporting the definition of roles, principles, and controls that ensure compliant, transparent, and business-aligned use of AI across the Group
- Strengthen the quality, completeness, and adoption of the Data Catalog by analyzing data systems, governance frameworks, and real business usage in close collaboration with IT and business teams
- Drive transparency and decision-making by defining and maintaining governance KPIs, dashboards, and steering materials for management and data governance bodies
- Co-design and operationalize Group-wide data and AI data governance policies, validating concepts through POCs and embedding scalable, sustainable standards into daily practices
- Act as an early adopter of modern data governance and AI-related tooling, providing hands-on feedback to improve reliability, usability, and adoption
- Translate user needs and feedback into clear, actionable requirements to continuously enhance data accessibility and self-service capabilities
- Partner with DPO, IRM, and IT teams to ensure aligned approaches to data accountability, regulatory compliance, and responsible data use for advanced analytics and AI initiatives
- Serve as a visible ambassador of the Data Office, promoting best practices, supporting strategic data transformation initiatives (e.g., self-service BI, Data Platform evolution), and guiding teams toward greater data autonomy and maturity
Anforderungen
- Master’s degree in Business Administration, Economics, Business Informatics, Computer Science, or a comparable field
- Strong interest in the financial and banking sector, ideally supported by relevant professional experience in a complex, regulated environment
- 3–5 years of relevant professional experience, with demonstrated ownership, impact, and the ability to drive topics independently
- Experience in one or more of the following areas is an advantage: data governance, data analytics, financial analysis, consulting, or change management
- High level of autonomy and initiative, with the ability to structure projects end-to-end and communicate clear action plans to senior stakeholders
- Strong communication and storytelling skills, with the ability to simplify complex or technical topics for both business and IT audiences, supported by high-quality PowerPoint presentations
- Advanced data handling and analysis skills using SQL, Python or Excel/VBA
- First hands-on experience with modern Data Platforms (e.g., Snowflake, Databricks, MS Fabric) is a plus
- Prior experience working with a data catalog (e.g., DataGalaxy, Collibra, Purview, or similar tools) is a strong advantage and will enable a faster onboarding
- Strong motivation to create tangible impact through data, with a clear interest in enabling and governing AI and advanced analytics use cases in a responsible and scalable way
- Fluent in German, both written and spoken, and fluent in English; French is a plus
Ansprechpartnerin
Frau Anna Gibbs
