Mark is an accomplished technology leader with deep expertise in centralizing and transforming enterprise data within modern cloud platforms. He has a strong track record of helping organizations consolidate fragmented data sources, improve data quality, and establish scalable cloud architectures that unlock better decision-making. Mark specializes in building clean, trusted data foundations that power advanced analytics, artificial intelligence, and predictive modeling. Known for bridging technical and business perspectives, he works closely with stakeholders to turn complex data environments into strategic assets that drive measurable operational and competitive advantages.
Our Team
Consultant & Fractional Executive, Data Architecture & Engineering
Mark Plaskow
Projects & Experience
Data Innovation in Global Health
Mark pioneered the use of data warehousing techniques to generate insights on malaria in peripheral blood samples across research initiatives in Africa. By centralizing and structuring complex scientific datasets, he enabled researchers to analyze patterns at a scale that had not previously been possible. His work introduced modern data analytics approaches into global health research environments, helping transform fragmented laboratory and clinical data into actionable intelligence that supported better disease understanding and research outcomes.
National-Scale Justice Data Leadership
Mark led the architecture and management of one of the largest databases in the United States for the U.S. Department of Justice, the Arrival and Departure Information System (ADIS). In this role, he oversaw the design and optimization of highly secure, large-scale data systems that supported critical law enforcement and legal operations. His leadership ensured high data integrity, availability, and performance while enabling analysts and decision-makers to access reliable information across vast and complex datasets.
Enterprise Data Architecture at Computer Sciences Corporation
Mark architected comprehensive enterprise data warehouses that unified data from financial, scientific, HR, project, imaging, and numerous operational systems. He focused on cleaning, standardizing, and optimizing enterprise data to create a trusted foundation for reporting, analytics, and strategic decision-making. His work enabled organizations to move from fragmented data environments to integrated platforms capable of supporting advanced analytics, AI initiatives, and predictive modeling.
Industries Served
- BioTech
- BioPharma
- Insurance & Actuarial
- Banking & Finance
- Science
- Marketing