Cecil P.
About Cecil P.
Cecil P. serves as the Vice President of Data Architecture at Gannett | USA TODAY NETWORK, where he has worked since 2022. He has a strong background in data architecture and machine learning, with previous roles at HBO and Take-Two Interactive Software, and holds multiple degrees and certificates in engineering and computer science.
Work at Gannett
Cecil P. serves as the Vice President of Data Architecture at Gannett, specifically within the USA TODAY NETWORK. He has held this position since 2022 and operates primarily in the New York City Metropolitan Area, with a remote work arrangement. In this role, he oversees the development of multi-year roadmaps and blueprints for data architecture and machine learning initiatives. He manages cross-functional teams that specialize in various aspects of data management, including data quality, data governance, and solution architecture. His leadership focuses on building Gannett's integrated data and machine learning platform on Google Cloud, utilizing technologies such as PyTorch.
Education and Expertise
Cecil P. has an extensive educational background in engineering and computer science. He studied at Stanford University School of Engineering, where he earned a Graduate Certificate in Artificial Intelligence from 2020 to 2021. He also holds a Master of Science in Computer Science from Columbia Engineering. Currently, he is pursuing a Doctor of Philosophy (PhD) in Systems Science at Binghamton University, expected to complete in 2028. Additionally, he is studying Bioinformatics at UC San Diego, where he is working towards another Graduate Certificate from 2024 to 2025. This combination of education equips him with a strong foundation in data architecture and machine learning.
Background
Cecil P. has a diverse professional background, having worked in various roles across multiple organizations. He began his career at HBO, where he served as a Software Engineer and later as a Software Development Manager from 1999 to 2009. He continued at HBO as VP & Chief Architect from 2009 to 2013. After his tenure at HBO, he transitioned to the role of Sr. Director of Data Science at Take-Two Interactive Software, Inc. from 2019 to 2021. Following that, he worked as a Data and Machine Learning Engineer in various capacities from 2013 to 2019. This varied experience has contributed to his expertise in data architecture and machine learning.
Achievements
Cecil P. has made significant contributions to the field of data architecture and machine learning throughout his career. At Gannett, he leads the development of an integrated data and machine learning platform on Google Cloud, focusing on building foundation models using PyTorch. His previous roles at HBO and Take-Two Interactive Software, Inc. involved overseeing critical data initiatives and architectural designs. His educational pursuits in Artificial Intelligence, Bioinformatics, and Systems Science further enhance his capabilities in these domains, demonstrating a commitment to advancing his knowledge and expertise.