Ann-Marie Akiwumi
Ann-Marie Akiwumi has over 15 years of experience helping federal agencies, health plans, provider organizations, health care associations, and research partners address complex healthcare data challenges. Her expertise spans Medicare and Medicaid claims data, health equity, quality measurement, artificial intelligence, interoperability, and data modernization. She is recognized for translating complex data assets, analytic methods, and technical requirements into practical solutions that support decision-making and program operations.
Akiwumi leads multidisciplinary teams that help organizations transform large and often disconnected data sources into actionable information. As project director for the Alliance of Community Health Plans' Digital Transformation initiative, she provides strategic and technical leadership for efforts to strengthen enterprise data capabilities and help health plans make more effective use of data.
Akiwumi also serves as a key data analytics leader supporting the Centers for Medicare & Medicaid Services' Center for Consumer Information and Insurance Oversight (CCIIO), where she has helped advance the use of artificial intelligence and automation within marketplace operations. Her work includes developing technology-enabled approaches for compliance reviews, validation activities, and regulatory oversight processes that improve consistency while reducing manual effort. As data analytics lead for the NIH-funded Rapid Acceleration of Diagnostics, Underserved Populations (RADx-UP) Coordination and Data Collection Center project, she led the AIR team with data linkage, building automated tools for generating summary reports, extract, transform and load data, measure development, and data aggregation.
In addition, Akiwumi supports organizations navigating emerging healthcare interoperability initiatives. She helps accountable care organizations understand and apply FHIR-based data resources, identify practical use cases for new CMS data models, and investigate data questions through validation against established Medicare claims sources and CMS data environments. Akiwumi also serves on AIR's AI Steering Committee, where she leads efforts focused on ethical AI and algorithmic bias. She helps advance organizational approaches for evaluating AI use cases, identifying and mitigating potential bias, and promoting the responsible use of artificial intelligence in research and operations. Akiwumi also uses her Project Management Professional (PMP) certification to implement effective operational processes.
