Data Lead - Data Transformation Programme

Key Responsibilities



Programme 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 interdependencies

Data 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 quality

Operating 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 improvement

Stakeholder 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 stakeholders

Vendor Management

• Hold vendors accountable for delivery performance and outcomes
• Assess capability, resourcing, and collaboration effectiveness
• Drive continuous improvement in delivery and partnership

Business Outcomes

• Deliver measurable value including:
  • Enhanced underwriting insights
  • Improved reporting and regulatory compliance
  • Reduction in manual processes
• Track business case progress and benefits realisation

Skills & Experience



Essential

• 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 experience

Desirable

• Experience with underwriting, claims, or delegated authority data
• Knowledge of insurance regulatory and reporting requirements

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