Head of Data Warehouse & Analytics
Information Technology (IT)
Frankfurt am Main, Hesse, Germany
Job Overview
We are partnering with a leading organization in the Financial Services sector to appoint a Head of Data Warehouse & Analytics who will lead enterprise-wide data strategy and deliver measurable business value through scalable, secure, and regulatory-compliant data solutions.
This role operates at the intersection of technology, analytics, risk, and business leadership. The successful candidate will own the vision, architecture, and execution of the Data Warehouse and Business Intelligence ecosystem, ensuring full alignment with regulatory, risk, and financial reporting requirements.
Key Responsibilities
Define and execute the enterprise Data Warehouse & Analytics strategy aligned with banking and financial business priorities
Lead the design, modernization, and evolution of data architectures including Cloud, Lakehouse, ELT, and real-time data platforms
Oversee data modeling, ETL/ELT pipelines, BI platforms, regulatory reporting, and advanced analytics capabilities
Partner closely with Business, Finance, Risk, Treasury, and Compliance stakeholders to translate regulatory and business requirements into robust data solutions
Establish and maintain strong data governance, data quality, lineage, security, and auditability frameworks
Ensure ongoing compliance with financial regulations and internal data standards
Manage technology budgets, vendor relationships, and strategic platform investments
Build, mentor, and scale high-performing Data Engineering, Analytics, and BI teams
Execution & Leadership Expectations
Strong delivery mindset with a hands-on, results-driven leadership approach
Proven track record of delivering large-scale, enterprise data programs within regulated environments
Extensive experience in vendor management, including commercial negotiations, performance governance, and delivery accountability
Demonstrated success in implementing and scaling Agile practices across data, regulatory, and analytics initiatives
Ability to operate effectively in complex, cross-functional banking environments and proactively remove delivery and regulatory blockers
Required Qualifications
Strong background in Banking or Financial Services
10+ years of experience in Data, Analytics, Data Warehouse, or BI leadership roles
5+ years of experience in senior leadership or executive-level positions
Deep expertise in enterprise Data Warehousing, BI, and Analytics platforms
Hands-on experience with cloud-based data ecosystems (preferably Azure)
Strong understanding of data modeling, ETL/ELT processes, and data architecture patterns
Proven ability to lead cross-functional teams and influence senior business and technology stakeholders
Excellent executive communication and stakeholder management skills
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