Christopher Mahoney
About Christopher Mahoney
Christopher Mahoney serves as the Director of Data Operations and Integration at Cloudmed, where he oversees the integration of health information systems and leads a data engineering team. He has a background in data engineering and analytics, with previous roles at ACUSTREAM, INC. and Compete, Inc.
Work at Cloudmed
Christopher Mahoney serves as the Director of Data Operations and Integration at Cloudmed, an R1 company, since 2020. In this role, he oversees the integration of health information system-specific code for platforms such as Epic, Cerner, and Meditech. His efforts streamline client onboarding processes and enhance operational efficiency. He leads a data engineering team that transforms data into a production environment. Mahoney has developed a modular universal data specification that consolidates client extracts and facilitates product expansion. He also collaborates with the product team to define business requirements and prioritize the data platform roadmap.
Education and Expertise
Christopher Mahoney completed his Bachelor's degree in Economics at Boston College from 2005 to 2009. He also attended Xaverian Brothers High School, where he studied Liberal Arts and Sciences/Liberal Studies from 2001 to 2005. His educational background provides a strong foundation for his expertise in data operations and integration within the healthcare sector.
Background
Before joining Cloudmed, Christopher Mahoney worked at ACUSTREAM, INC. as the Manager of Data Engineering from 2015 to 2020. In this position, he managed data engineering initiatives and contributed to the development of data solutions. Earlier in his career, he served as an Analyst in Financial Services at Compete, Inc. from 2010 to 2011 and completed an Analyst Internship at Charles River Associates in 2008.
Achievements
At Cloudmed, Christopher Mahoney created an automated approach to data acquisition and warehousing that supports over 3,100 healthcare providers and manages more than $1.5 billion of underpaid or unidentified revenue. His leadership in data engineering has significantly contributed to the efficiency and effectiveness of data operations within the organization.