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Evaluation Specialist Sr

artemis arc·US·United States·senior
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Requisition ID 2026-4564 Job Summary As an Evaluation Specialist Sr supporting the VHA AI Education Hub (TOPR 0032), you will design and implement comprehensive evaluation systems that measure the adoption, impact, and effectiveness of AI education resources across the Veterans Health Administration. Working at the intersection of federal healthcare and emerging technology, you will help the VA understand how AI literacy programs are reaching and transforming the workforce that serves our nation's Veterans. This is a high-visibility role that directly informs how one of the largest integrated healthcare systems in the world invests in and expands its AI education strategy. The ideal candidate is a rigorous, data-driven evaluator who is equally comfortable translating complex findings into clear executive narratives and rolling up their sleeves to design a survey instrument or facilitate a structured stakeholder interview. You thrive in a collaborative federal environment, can manage competing priorities with minimal oversight, and bring a genuine passion for evidence-based decision-making. Primary Responsibilities Design and implement end-to-end evaluation systems to assess program impact, resource adoption, and learning outcomes associated with the VHA AI Education Hub's initiatives. Apply a mixed-methods approach — including content analysis, quantitative tracking, surveys, focus groups, and structured interviews — to generate robust, actionable insights on program performance. Oversee the generation, formatting, and communication of performance reports, ensuring findings are accurately translated into strategic recommendations and integrated into current program strategies. Meet regularly with Government stakeholders to discuss evaluation progress, present findings, propose new assessment initiatives, and help establish organizational priorities for the AI Education Hub. Develop data-driven sustainment and expansion recommendations that guide the long-term growth