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

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