Data Strategy Lead Reinsurance City of London

Location: City of London, Hybrid Salary: £120,000-£150,000 Industry: Insurance/Reinsurance Tenure: Permanent Our Client An international financial services organisation is looking for a hands-on data leader to shape and drive its data strategy across multiple global regions. The role is based in London and will focus on strengthening adoption of enterprise-wide data platforms, improving analytics capability, and unlocking value from diverse and complex datasets.This position will support a wide variety of business areas and requires close collaboration with colleagues across the UK, Europe, Asia Pacific, Latin America, the Middle East, and Africa.Key Responsibilities

• Provide leadership and direction to embedded data specialists, helping them deliver solutions aligned to business needs.
• Lead the rollout and ongoing enhancement of core data products and platforms.
• Work with operational and analytical teams to capture requirements and identify opportunities to create value from data.
• Build strong partnerships with senior stakeholders, positioning data as a key enabler of strategy.
• Define and communicate the data roadmap across the business.
• Monitor team capabilities, highlighting skills gaps and shaping plans to address them.
• Ensure delivery remains agile and outcomes-focused, making the most of available resources and technology.

Skills & Experience

• Strong background in data-centric roles, such as engineering, data science, analytics, or data product management.
• Proficiency with modern data tools and technologies (e.g. Python, SQL, Spark, dbt, APIs).
• Demonstrated success in senior or client-facing roles, delivering impactful data products and solutions.
• Knowledge of analytics, data modelling, architecture, and schema design.
• Experience building sophisticated dashboards using leading BI tools.

What will make you stand out

• Deep expertise with advanced data platforms (e.g. Databricks, Snowflake, Palantir).
• Familiarity with Python-based or low-code frameworks for building data-driven applications.
• Background in financial services or the ability to quickly understand industry-specific challenges.

This role is London-based and offered on a hybrid model, with regular time in the office (around three days per week).