Bill Victoria
About Bill Victoria
Bill Victoria is an Enterprise Architect specializing in Data & Analytics, currently working at Advance Auto Parts. He has extensive experience in various sectors, including healthcare and technology, and advocates for effective data strategies and solutions.
Current Role at Advance Auto Parts
Bill Victoria serves as the Enterprise Architect for Data & Analytics at Advance Auto Parts. He has held this position since 2021, contributing to the company's data strategy and analytics initiatives. His role involves leveraging data management practices to enhance decision-making processes within the organization.
Previous Experience in Enterprise Architecture
Prior to his current role, Bill Victoria held several key positions in enterprise architecture. He worked at JCPenney as Principal Enterprise Architect from 2017 to 2020, and at G6 Hospitality LLC as Enterprise Architect for 11 months in 2015. His experience also includes a tenure at CHRISTUS Health as Director of Enterprise Architecture from 2013 to 2017, where he focused on aligning technology with business objectives.
Background in Data Management and Healthcare
Bill Victoria combines expertise in data management with a background in healthcare. His experience includes a role as Sr. Technology Solution Architect at Blue Cross and Blue Shield of Illinois, Montana, New Mexico, Oklahoma & Texas from 2006 to 2012. This unique combination allows him to advocate for long-term data strategies that address both technical and healthcare-related challenges.
Education and Academic Background
Bill Victoria earned a Bachelor of Science (BS) degree in Biochemistry and Molecular Biology from the University of Florida, where he studied from 1981 to 1986. His foundational education has contributed to his analytical skills and understanding of complex systems, which he applies in his professional roles.
Advocacy for Data Privacy and Security
Bill Victoria advocates for tactical cost-driven solutions in data privacy and security. He emphasizes the importance of integrating semantic technologies into enterprise decision management systems, showcasing his comprehensive understanding of autonomics in enterprise data management. His focus on these areas reflects a commitment to enhancing data governance practices.