Clark Lawson
About Clark Lawson
Clark Lawson is a Senior Data Engineering Manager at Nationwide Building Society, where he has worked since 2022. He has extensive experience in data governance and risk analysis, having held various roles in the financial sector over the past two decades.
Current Role at Nationwide Building Society
Clark Lawson serves as the Senior Data Engineering Manager at Nationwide Building Society, a position he has held since 2022. His role involves overseeing data engineering initiatives and managing teams to enhance data infrastructure. He operates in a hybrid work environment based in Swindon, England.
Previous Experience at Nationwide Building Society
Prior to his current role, Lawson held multiple positions at Nationwide Building Society. He worked as the SAS, Hadoop & Teradata Data Warehouse Manager from 2013 to 2021, where he managed the administration and business adoption of a Data Governance toolset. He also served as the Manager of Secured Credit Risk (Specialist Lending) from 2009 to 2013, focusing on credit risk management.
Data Governance Leadership
During his tenure at Nationwide Building Society, Lawson led significant initiatives in data governance. He managed the administration and business adoption of a Data Governance toolset for Metadata Management and Data Quality. Additionally, he oversaw the governance and business adoption of a Reference Data tool while serving as Technical Lead in Enterprise Data Governance.
Educational Background
Clark Lawson studied at the University of Hull, where he earned a First Class Honours degree in Mathematics, achieving an MMath from 2000 to 2004. His educational background provides a strong foundation for his career in data analytics and risk management.
Career Progression in Risk Analysis
Lawson began his career in risk analysis, working at HBOS as a Credit Risk Analyst from 2005 to 2007. He then transitioned to Bradford & Bingley as a Senior Group Risk Analyst from 2007 to 2008. His experience in these roles contributed to his expertise in credit risk and data management.