Michael Finn

Michael Finn serves as a Contract Specialist responsible for managing the full lifecycle of professional services acquisitions, ensuring compliance with federal procurement regulations and aligning contracts with mission-critical objectives. He specializes in complex, non-commercial service contracts requiring technical evaluation and risk mitigation, with a focus on research-driven procurements. His role supports the agency’s broader mission to advance scientific and technical innovation through strategic sourcing, coordinating with program offices to define requirements, conduct market research, and execute competitive acquisitions under FAR Part 15 procedures. While no specific contractor relationships are currently identifiable due to limited award data, Finn consistently engages with a diverse pool of professional service providers, including research institutions, independent consultants, and technical service firms capable of delivering high-complexity, knowledge-based solutions. His procurement approach emphasizes fair and open competition, with a preference for performance-based contracting and clear statement of work development to ensure accountability and outcomes-driven delivery. Finn’s contracting patterns reflect a strong orientation toward unrestricted competition, with 100% of his awards issued under non-set-aside authorities. This indicates a focus on technical merit and capability over socioeconomic preferences, though he remains compliant with all small business goals and actively considers qualified small businesses when they meet the technical requirements of the solicitation. His primary procurement focus lies in NAICS 541712, encompassing research and development in physical, engineering, and life sciences, where he regularly solicits services such as laboratory testing, data analysis, and engineering design. He also procures broader professional services under NAICS 541990 and social science research under 541720, demonstrating expertise in technical domains ranging from environmental modeling to behavioral studies. His work supports evidence-based decision-making through rigorous, scientifically grounded acquisitions.