Data Lead - Data Transformation Programme
14 days ago
London
Key ResponsibilitiesProgramme Delivery • Lead delivery across multiple workstreams including platform, data ingestion, modelling, and reporting, • Manage an outsourced delivery partner across scope, timelines, budget, and quality, • Track KPIs, milestones, and governance forums (e.g. SteerCo, Design Authority), • Proactively manage risks, issues, and interdependenciesData Architecture, • Define, implement, and govern the target data architecture (platforms, data models, integrations), • Ensure alignment with enterprise architecture and strategic objectives, • Review and challenge vendor designs to ensure quality and scalability, • Drive best practices across:, • Data modelling, • Data pipelines, • Storage (lakehouse/warehouse), • Metadata, lineage, and data qualityOperating Model, • Align with and enhance data governance frameworks, ownership, and stewardship, • Establish sustainable operating models and run-state processes, • Support data lifecycle management and continuous improvementStakeholder Management, • Act as the primary interface between client leadership and delivery partners, • Engage with business functions including Underwriting, Claims, and Finance, • Translate complex business requirements into effective data solutions, • Provide clear, concise updates to senior stakeholdersVendor Management, • Hold vendors accountable for delivery performance and outcomes, • Assess capability, resourcing, and collaboration effectiveness, • Drive continuous improvement in delivery and partnershipBusiness Outcomes, • Deliver measurable value including:, • Enhanced underwriting insights, • Improved reporting and regulatory compliance, • Reduction in manual processes, • Track business case progress and benefits realisationSkills & ExperienceEssential, • 15+ years' experience in data and analytics, including leadership roles, • Strong expertise in data architecture and large-scale platform delivery, • Proven experience managing third-party vendors, • Experience within London Market or specialty insurance, • Deep knowledge of modern data platforms (e.g. Azure, AWS, Snowflake, Databricks), • Strong understanding of data modelling, integration, governance, and data quality, • Demonstrated programme delivery and governance experienceDesirable, • Experience with underwriting, claims, or delegated authority data, • Knowledge of insurance regulatory and reporting requirements