Stephen Dignum
About Stephen Dignum
Stephen Dignum is an Enterprise Data Architect at Linklaters in London, United Kingdom, where he has worked since 2017. He has extensive experience in data architecture, having held similar roles at various organizations including GFT Technologies, Lloyds Banking Group, and Siemens Business Services.
Work at Linklaters
Stephen Dignum has been serving as an Enterprise Data Architect at Linklaters since 2017. His role involves overseeing data architecture initiatives within the firm, contributing to the management and optimization of data systems. Based in London, United Kingdom, he has accumulated seven years of experience in this position, focusing on enhancing data strategies to support the firm's operations.
Previous Experience in Data Architecture
Before joining Linklaters, Stephen Dignum worked at several organizations in the capacity of Enterprise Data Architect. He was employed at GFT Technologies from 2015 to 2016, and at Bank of Tokyo-Mitsubishi UFJ from 2013 to 2015. His earlier roles include three years at Lloyds Banking Group from 2010 to 2013 and two years at Siemens Business Services from 2003 to 2005. This extensive experience has provided him with a solid foundation in enterprise data management.
Educational Background
Stephen Dignum holds a Master of Science (MSc) degree from the University of Essex, which he completed from 2002 to 2003. He also earned a Bachelor of Science with Honours (BSc Hons) from the University of Plymouth between 1987 and 1991. Additionally, he achieved a PhD from the University of Essex, where he also conducted postdoctoral research in Machine Learning from 2005 to 2010.
Early Career in Software Engineering
Stephen Dignum began his career in software engineering, holding positions at various companies. He worked as a Software Engineer (Team Leader) at NatWest from 1998 to 2002 for four years. His earlier experience includes two years at Admiral Computing Ltd from 1991 to 1993. This background in software engineering has contributed to his expertise in data architecture.