Data Quality Improvement Manager in London

Job Location: London or Ipswich UK/ Hybrid

Job Type: FTC (6 months duration)

We recognise that being a truly data-driven organisation is critical to our success. To enable this, we need to ensure we capture consistently high quality, actionable data relating to our clients in our source systems, to power analysis and decision-making across all our key business functions (e.g., risk, underwriting, pricing, actuarial, finance, claims, operations, etc.).

The Data Quality & Culture team within the Innovation, Data & Analytics (IDA) division is focused on driving the data quality strategy through 3 work streams: Train, Heal & Prevent.

• Train: Developing a data culture to understand the importance of data to our business, and the need to capture data right first time in our source systems to ensure data quality.
• Heal: Finding & fixing data errors in our systems after they occur with SQL data quality validation rules and Power BI dashboards to track quality levels and drive remediation efforts.
• Prevent: Working with Operations and IT teams to implement data quality by design across various source systems & processes, to prevent manual data quality errors from occurring in the first place.

This role will be focused primarily on the Prevent work stream.

What you’ll be doing:

• Data Analysis & SQL Proficiency: Demonstrate advanced SQL coding skills to interrogate diverse databases, enabling the identification and analysis of root causes of data quality issues. Ability to extract, join, and compare data records across multiple systems to support data integrity investigations.
• Stakeholder Engagement & Communication: Effectively collaborate with cross-functional stakeholders across departments to understand data workflows, identify data quality challenges, and gather requirements for improvements.
• Data Mapping & Process Improvement: Map critical data flows throughout the insurance lifecycle to identify process inefficiencies, duplication, and opportunities for quality enhancement.
• Presentation & Storytelling: Develop impact presentations and communicate complex data insights clearly and persuasively to diverse audiences.
• Cross-Functional Partnership: Build and maintain productive relationships with global technology teams to define system and process improvements.
• Team Leadership & Coordination: Lead virtual, cross-disciplinary teams by coordinating activities across Transformation, Data Management, and Data Quality functions.
• Project & Budget Management: Plan, execute, and oversee projects from initiation to closure, ensuring delivery within scope, schedule, and budget constraints.
• Progress Monitoring & Reporting: Advocate for systemic data quality improvements across the organisation by promoting best practices and system fixes.
• Performance Measurement & Reporting: Develop metrics and KPIs to evaluate data quality improvements.

What you’ll bring:

We view individuals holistically through their People, Business, and Technical Skills. We’re interested in what you bring, how you think, and your potential for growth. We value diverse perspectives, recognising that each person contributes uniquely to our team's success.

Here are some of the key skills important for the role:

• PEOPLE Skills: Customer Centricity, Cross Functional Collaboration, Analytical & Strategic Mindset, Emotional Intelligence, Resilience, Growth Mindset.
• BUSINESS Skills: Business & Insurance Acumen, Business & Process Improvement, Stakeholder Management.
• Technical Skills: Quantitative Data Analysis & SQL Expertise, Commercial Insurance Domain Knowledge, Effective Communication & Presentation, Project Management & Process Improvement, Data-Driven Mindset & Curiosity, Negotiation & Influence, Process Improvement Methodologies, User-Centered Design & Agile Practices, Data Management & Governance.