Hybrid, London, 3 days onsite, Finance Data Architecture Lead. Insurance, Finance, GenAI
My leading client is looking to recruit a Finance Data Architect Lead to define and lead the delivery of end-to-end Finance Data Architecture across Finance, Risk, Treasury, Tax, and Actuarial functions, leveraging CDT-provisioned platforms (e.g. Azure, Databricks).
Key Responsibilities
- Define and deliver target Finance Data Architecture, including data models, data flows, and integration patterns aligned to enterprise data strategy and CDT standards
- Act as the primary interface with CDT teams to ensure platform readiness, scalability, and architectural alignment
- Lead design authority across data, analytics, and reconciliation frameworks supporting statutory, regulatory, and internal reporting
- Oversee implementation of modern data platforms, including Python-based data pipelines and lakehouse architectures on CDT environments
- Ensure robust control frameworks, including end-to-end reconciliations across multiple reporting bases (e.g. IFRS, Solvency II, internal views)
- Embed AI capabilities into the data architecture, including GenAI-enabled reporting layers, agentic controls, and anomaly detection mechanisms
Experience & Capabilities
- Deep expertise in insurance finance data across Finance, Risk, and Actuarial domains
- Proven experience delivering large-scale data transformation programmes within complex, regulated environments
- Strong track record of working with central/cloud platform teams (CDT) to deliver scalable, governed data solutions
- Advanced understanding of AI applications in finance, particularly in reporting, controls, and data quality assurance
If this is of interest please share your cv ASAP