Senior Data Architect
Send a job offer directly to this candidate
Senior Data Architect with 20+ years of experience across Insurance, Banking, Investment Management and Payments, including 6+ years leading enterprise data architecture in regulated environments. Expertise in defining target data architectures and designing scalable, secure and resilient data solutions across operational and analytical environments.
London insurance-market experience across policy, claims, underwriting, pricing, exposure, risk and regulatory reporting, including Solvency II and GDPR. Strong expertise in conceptual, logical and physical data modelling, enterprise data models, canonical models, Data Vault and dimensional modelling. Experienced in translating business and technology requirements into practical data architecture designs and establishing standards for data ingestion, transformation, storage, integration, lineage, metadata, data quality and consumption.
Hands-on experience designing modern cloud data platforms using Azure, AWS and GCP, including data lakes, data warehouses, event-driven/streaming architectures and data products. Strong relational and NoSQL experience including MongoDB-compatible/document database technologies, Cosmos DB, DynamoDB, MongoDB and graph databases. Proven architectural leadership across underwriting, claims, actuarial, risk, finance and technology stakeholders, with strong experience aligning data solutions to enterprise architecture, security, privacy, regulatory, governance and data-quality standards.
Enterprise Data Architect at Aviva [PWC] (2026-01 – Present)
The Health Evolution Programme is Aviva's enterprise-wide strategic transformation designed to replace ageing legacy infrastructure with a digital-first, AI-ready architecture. The programme focuses on decommissioning mainframe-based systems (GMS/PAS, etc) and migrating to a modular, cloud-native ecosystem centred on Salesforce Health Cloud. By unifying data across the health estate, the programme enables advanced capabilities such as Generative AI underwriting, automated claims processing, and data mesh principle-based patterns for operational, reference and master data consumption through foundational, aggregated and consumer aligned data products per domain.
