Darrin Blocker
About Darrin Blocker
Darrin Blocker serves as the Manager of Analytics Operations and Development for the Enterprise Data Warehouse at Loma Linda University Health, where he has worked since 2019. He previously held the position of Senior Data Architect at the same institution from 2011 to 2019, focusing on machine learning integration and data visualization.
Current Role at Loma Linda University Health
Darrin Blocker serves as the Manager of Analytics Operations and Development for the Enterprise Data Warehouse at Loma Linda University Health. He has held this position since 2019, contributing to the organization for five years. In this role, he leads a team focused on the integration of advanced analytics, including early machine learning concepts and artificial intelligence, to improve clinical outcomes. His responsibilities also include overseeing the support and development of data visualization layers using tools such as Tableau, BOE Crystal, and Web Intelligence presentations.
Previous Experience at Loma Linda University Health
Before his current role, Darrin Blocker worked as a Senior Data Architect at Loma Linda University Health from 2011 to 2019. During his eight years in this position, he played a significant role in the development and management of data architecture strategies that supported the organization’s data initiatives. His experience in this capacity laid the groundwork for his current managerial role.
Education and Expertise
Darrin Blocker earned a Bachelor of Science degree in Computer Science from California State University-San Bernardino, where he studied from 1997 to 2001. His educational background provides a solid foundation for his expertise in data analytics and management. This knowledge is essential for his current responsibilities, where he applies his skills in data architecture and analytics operations.
Leadership in Data Integration
In his current role, Darrin Blocker leads initiatives that focus on the implementation of IMDB technologies and common modeling concepts. His leadership is directed toward enhancing data consumption efficiency within the organization. By integrating machine learning and AI, he aims to drive improvements in clinical outcomes, demonstrating a commitment to leveraging technology in healthcare.