Data Strategy & Advisory Leader (Managing Principal)

We are seeking a visionary Data Strategy & Advisory Leader at Managing Principal level to shape the future of data in financial services. You will lead the design, delivery, and scaling of enterprise-wide data strategies for tier-one banks, insurers, and investment firms — helping them unlock the value of their data and meet the demands of an ever-evolving regulatory and digital landscape.

This is not just about advising — it’s about owning the transformation agenda: defining innovative propositions, leading complex consulting engagements, inspiring cross-disciplinary teams, and driving commercial growth. You’ll be at the forefront of modern data strategy, governance, analytics, and AI adoption, while mentoring the next generation of data leaders.

• →Design and operationalise enterprise data strategies that enable business transformation across banking, insurance, and investment sectors.
• →Lead high-impact consulting engagements in data governance, literacy, quality, regulatory response, and analytics-driven decision-making.
• →Shape new market propositions in data consulting, including the adoption of AI, advanced analytics, and cloud-based data platforms.
• →Drive process modernisation — from business analysis to technical design, solution implementation, and long-term optimisation.
• →Build trusted senior stakeholder relationships, influencing strategic decisions and securing follow-on mandates.
• →Scale data capabilities across internal teams and client organisations, ensuring consistent, high-quality outcomes.
• →Contribute to thought leadership, industry events, and internal innovation initiatives.

• 8+ years of senior-level consulting experience in financial services, with a strong data strategy and advisory focus.
• Proven expertise across the full data lifecycle, supported by frameworks such as DAMA DMBOK, DCAM, or CDMC.
• Deep understanding of enterprise data transformation and practical experience in implementing modern data management solutions.
• Experience in business development — from proposition design to pipeline growth and client relationship management.
• Hands-on involvement in agile consulting projects, and the ability to navigate complex analytical challenges with ease.
• Strong communication and influencing skills across senior business and technical stakeholders.
• Fluency in German and English 

• Familiarity with data regulations such as BCBS 239, CCAR, Solvency II.
• Working knowledge of SQL, Python, and related data analytics methods and tools.
• Experience applying AI solutions in financial services.
• Formal certifications in data governance, architecture, or strategy.
• Background in leading large, multi-disciplinary delivery teams.