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 mechanismsExperience & 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 assuranceIf this is of interest please share your cv ASAP
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