Data Governance Lead

We are recruiting for a Data Governance Lead on behalf of a well-respected Lloyd's Marker Insurer.

The successful candidate will lead data governance initiatives and activities across the organisation, taking ownership of data quality, security, and compliance at a strategic level. This is a role for a high performer who is ready to establish a lasting legacy.

Key Responsibilities

• Identifying and appointing Data Owners and Stewards.
• Drafting and maintaining robust data policies and data contracts.
• Leading Data Quality projects, defining critical data elements (CDEs) and establishing monitoring, reporting, and remediation processes.
• Leading the Data Governance meetings with business stakeholders.
• Acting as the primary point of contact for data governance matters and data-related audits and regulatory inquiries.
• Producing regular Data Governance maturity assessments and Data Quality reports for senior leadership, including defining and tracking KPIs to measure the success of data governance programs.
• Leading the implementation and maintenance of a data catalogue, business glossary, lineage maps, and metadata management workflows, including master data management (MDM) and data lifecycle management, to improve data discoverability and governance consistency.
• Acting as the product owner of Data Governance tech stack and Data Quality tools.
• Designing an end-to-end tailored Data Governance Framework.
• Developing and implementing frameworks for AI Governance.

Key Requirements

• High-performing individual with hands-on experience of data governance practices.
• Experience of selection, implementation and maintenance of data catalogue and data quality tools, with proficiency across Data Governance and Data Quality platforms more broadly.
• Track record of establishing and scaling Data Governance and Data Quality frameworks from scratch.
• Exceptional communication skills with the ability to influence senior leadership and technical teams alike.
• Experience within the Lloyd's Market with an understanding of specific data challenges and regulatory landscape.
• Hands-on experience (or a deep theoretical understanding) of AI Governance, including the risks associated with LLMs and automated decision-making.
• Bachelor's degree in data management, Law, or a related field, with professional certifications such as CDMP, CIPP/E, or DCAM highly desirable.

If you are ready to take on a role where you can make a genuine and lasting impact, we would love to hear from you.