Data Quality Lead - Issue Resolution

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.

• →End to End Ownership of the Data Quality Issue Lifecycle: Oversee triage, root‑cause analysis, assignment, resolution, and closure of data issues. Ensure SLAs are met, blockers escalated, and stakeholders updated. Maintain a clear and transparent view of issue status and ageing.
• →Lead and guide offshore Data Quality Analysts: Provide daily direction, prioritisation, and quality oversight. Review offshore work outputs to ensure accuracy and consistency.  Coach analysts to improve investigation quality, documentation clarity, and prevention thinking.
• →Work directly with stakeholders across the business: Act as the primary point of contact for UK‑based data owners, SMEs, and operations teams. Run workshops or playback sessions to explain issues, remediation plans, and expected changes. Translate technical findings into clear business terms.
• →Partner with IT and Operations to deliver fixes: Collaborate with technology teams to validate technical defects and ensure production fixes are implemented correctly. Align with Operations to embed new processes that prevent recurrence. Support change assessments where fixes intersect with projects or system releases.
• →Drive structural data quality improvements: Identify recurring issue patterns and propose prevent‑rather‑than‑correct actions. Contribute to data rule definitions, quality controls, validation logic, and monitoring dashboards. Recommend updates to data standards, lineage, and ownership models.
• →Reporting and governance: Produce weekly/monthly DQ reporting for management. Ensure all issues are documented to an audit‑ready standard. Support Data Governance forums with insights on emerging risks and thematic trends.

• Deep understanding of critical data flows and business processes within the speciality insurance market including the London Market.
• Ability to produce clear and concise reports and documentation for both technical and non-technical audiences.
• Strong analytical mindset with proven ability to diagnose complex data issues.
• Excellent communication skills — able to simplify technical topics for business colleagues.
• Stakeholder confidence: comfortable leading conversations and challenging assumptions constructively.
• Organised and structured, with the ability to manage multiple concurrent issues.
• Skilled in root‑cause analysis methods (e.g., 5 Whys, Fishbone, data lineage mapping).
• Ability to guide offshore teams and ensure consistent quality of work.
• Understanding of data governance, data controls, and regulatory data expectations.
• Proficiency with SQL, Excel, and data quality tooling (DQ dashboards, issue‑tracking, profiling tools).

• Bachelor’s or master’s degree in a highly analytical discipline.
• Nice to Have: Professional certifications in business analysis (e.g. ISEB) and data management (e.g. DAMA).

• 5+ years in data quality, data analysis, MDM, or similar roles.
• Experience leading or mentoring junior or offshore analysts.
• Demonstrable success resolving cross functional data issues end to end.
• Experience within specialty insurance and the London Market.
• Exposure to root cause analysis, issue management tooling, and data governance practices.

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