Michael Hansen
About Michael Hansen
Michael Hansen is an Enterprise Data Architect at Milestone Systems in Copenhagen, where he has worked since 2022. He has extensive experience in data strategy and governance, having held various roles in multiple organizations over two decades.
Work at Milestone
Michael Hansen has been employed at Milestone Systems as an Enterprise Data Architect since 2022. In this role, he focuses on utilizing data as a critical enterprise asset to drive the company's strategic goals. His work involves defining and driving data capabilities that enhance reporting and analytics through machine learning.
Previous Experience
Michael Hansen has held various positions in data management and IT across multiple organizations. He worked at Novozymes in several roles, including IT Project Manager, Lead IT Architect, and Head of Data Excellence. He also served as Digital Program Manager at DFDS and Data Officer at Topdanmark. His experience includes managing teams to develop data quality and governance capabilities.
Education and Expertise
Michael Hansen studied at Copenhagen Business School, where he earned a Bachelor's degree in International Business from 2000 to 2002. He furthered his education at It - Universitetet I København, obtaining a Master's degree in IT from 2001 to 2003. His expertise includes data strategy, infonomics, and enterprise architecture.
Background
Michael Hansen began his career as a Business Analyst at NCR from 2000 to 2001. He then transitioned to software development as a Software Development Manager and Partner at VerticPortals from 2000 to 2007. His extensive background in data management spans over two decades, with experience in defining data capabilities across various industries.
Achievements in Data Management
Throughout his career, Michael Hansen has led teams in developing foundational data capabilities that support key business processes. He has a strong focus on enhancing reporting and analytics through machine learning and has played a significant role in advancing data governance and data quality initiatives.