Daniel Pullen, Chief Data Architect and Data Scientist, SAIC
Daniel Pullen is the Chief Data Architect for SAIC’s corporate data operations. He spearheaded the implementation of SAIC’s Cloud Native Data Platform, emphasizing Data Management, Data Governance, Master Data Management, and Cloud Native concepts. Currently, Daniel is a pivotal contributor to SAIC’s AI Transformation Office, where he leverages his extensive experience in Data Science and Data Management to enhance SAIC’s internal AI capabilities and drive innovative solutions within the organization.
Daniel’s journey into the data domain began with his academic pursuits, culminating in a Ph.D. in Integrated Computing with a specialization in Information Quality. Throughout his career, Daniel has been actively involved in both academic and industrial research and publications, demonstrating a robust commitment to advancing the field of data science.
He is deeply passionate about the transformative power of data and believes that effective analytics, driven by comprehensive statistical models, machine learning, and artificial intelligence, can deliver significant value to organizations. Daniel emphasizes that the success of modern Data Analytics is fundamentally rooted in strong Data Management, Data Governance, and Master Data Management practices.
