Data Quality and Governance Lead

Company Details

• Assist the Head of Data and Technology as a Subject Matter Expert in Data Quality and Data Governance. Act as a senior custodian of the WRBU Data Assets; ensuring the integrity of WRBU data and holding accountability for data integrity and accuracy.

• Strengthen data quality and governance frameworks, policies, and processes to promote best practices across data domains.
• Implement and embed data processes, including data quality management, ensuring they are well understood and consistently applied across the organization.
• Collaborate with a broad range of stakeholders to identify data quality challenges and opportunities for process and system improvements.
• Monitor data quality across BSL by identifying issues, defining quality rules, conducting root cause analysis, and managing issue triage.
• Configure and maintain validation rules in DQ Pro to enhance awareness, support remediation efforts, and build trust in DQ Pro outputs.
• Lead resolution of data-related issues by working with stakeholders to triage and remediate problems in alignment with established processes.
• Provide regular updates on data quality progress through reporting and stakeholder engagement.
• Serve as secretary for the Data Working Group, ensuring key governance and quality topics are addressed in meeting agendas.
• Develop and maintain inventories of critical data elements, data dictionaries, and data ownership assignments.
• Support ad-hoc projects and change initiatives (e.g., ESG) by ensuring data considerations are adequately represented and acting as an escalation point for data-related matters.

• Support the ongoing implementation and development of the data governance policy. Help manage data in line with Solvency II and SOX requirements and assist in prioritizing and developing new reports or data extracts.

Responsibilities

The Data Quality Lead is responsible supporting Head of Data and Analytics and wider business to establish and maintain robust Data Governance and Data Quality frameworks across the organization, ensuring consistent adherence to standards so that BLS data remains well-defined, accurate, and reliable. The role will encompass a mix of hands-on technical skills, stakeholder relations, supporting BLS to continue its journey to develop best in industry data platform.

Qualifications

Required Skills & Knowledge:

• Good hands-on experience with Microsoft Technology Stack (2022), SQL and Power BI
• Strong understanding of data quality and data governance frameworks.
• Good understanding of data quality tools and triaging.
• The ability to deal directly with business functions and interpret their thoughts into successful data & analytics solutions.

Required Toolsets:

• DQ Pro
• Microsoft SQL Server
• Power BI

Required Qualifications:

• Degree Level or above (Science, Maths, Computing, Engineering or related subject preferred)