Data Quality Business Partner

This is your opportunity to join AXIS Capital – a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture. As a member of AXIS, you join a team that is among the best in the industry.

At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work.

All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin or ancestry, citizenship, physical or mental disability, age, marital status, civil union status, family or parental status, or any other characteristic protected by law. Accommodation is available upon request for candidates taking part in the selection process.

As a Data Quality Business Partner within AXIS, you will play a pivotal role in supporting the Data & Analytics Transformation programme. This initiative involves replacing our legacy data estate and modernising it through the implementation of a new data platform. Your focus will be on ensuring the integrity, accuracy, and usability of data across the organisation. Collaborating closely with both technical teams and business stakeholders, you will champion data quality best practices and embed them into operational workflows and strategic decision-making processes.

• Business Partnering and Stakeholder Engagement
  • Collaborate with business stakeholders (e.g. underwriting, claims, actuarial, finance) to understand data quality needs and pain points, acting as a liaison between business units and the data quality team to ensure alignment and address challenges.
  • Translate business requirements into data quality rules and validation checks.
  • Collaborate with data stewards, analysts, engineers, and governance teams to ensure alignment on data quality goals.
  • Lead workshops and training sessions to raise awareness of data quality issues.
  • Act as a subject matter expert on data quality within cross-functional projects.
• Data Quality Management
  • Monitor, assess, and improve the quality of data across core insurance systems (e.g. policy, claims, underwriting, exposure management, pricing).
  • Develop and deliver dashboards and reports to monitor data quality performance.
  • Identify data anomalies and work with relevant teams to resolve root causes and recommend corrective actions.
  • Conduct detailed data profiling and analysis to uncover trends, gaps, and opportunities.
  • Collaborate with business partners to define data quality standards.
• Process Improvement
  • Facilitate regular reviews with stakeholders to refine processes based on insights.
  • Integrate data quality checks into existing business processes (e.g., onboarding, reporting, compliance).
  • Advocate for automation of data cleansing and enrichment processes.
  • Ensure that system upgrades or migrations include data quality considerations.
  • Contribute to the design and testing of new systems and data pipelines.

You may also be required to take on additional duties, responsibilities and activities appropriate to the nature of this role.

We encourage you to bring your own experience and expertise to the table, so while there are some qualifications and experiences we need you to have, we are open to discussing how your individual knowledge might lend itself to fulfilling this role and help us achieve our goals.

What you need to have:

• Proven experience in data quality, data analysis, or data governance within the insurance sector.
• Strong understanding of insurance operations and data flows (e.g. policy lifecycle, claims processing).
• Proficiency in SQL, Excel, and data visualization tools (e.g. Power BI, Tableau).
• Proficiency with data quality and data governance tools and frameworks (e.g. DQPro, Soda, DDW).
• Excellent communication and stakeholder management skills.
• Analytical mindset with attention to detail and problem-solving ability.

In this role, you will typically be required to be in the office 3 days per week.

You will be eligible for a comprehensive and competitive benefits package which includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid annual leave, and much more.