Norfolk, Virginia23 days ago
Advanced analytics and, where appropriate, AI/ML techniques (e.g., forecasting, anomaly detection, natural language processing of maintenance narratives) are used to identify readiness drivers and constraints, improve predictive analytics, and inform trade-space decisions that balance near-term readiness with longer-term capability objectives, including Fleet legacy platform/systems sustainment and modernization transitions. Fifteen years of related experience and of that; six (6) years must be direct experience in training of Naval Aviation maintenance and supply processes and their data systems must be direct experience the following concentration area: Readiness (CVN or TMS): Supports the generation of readiness for CVNs or TMSs.