• Design and build AI- and machine learning–enabled performance intelligence systems that continuously analyze operational performance data and identify emerging risks, degradation patterns, and improvement opportunities. • Design and implement analytical services, pipelines, and tooling in Python that incorporate AI/ML methods and transform operational data into continuously updated performance intelligence. • Build cloud-deployed analytical tools and services that enable automated or semi-automated detection of performance issues tied to contractual Service Level Requirements (SLRs). • Translate messy operational challenges into practical analytical solutions, combining statistical methods, machine learning techniques, and domain-informed logic. • Engineer reusable analytical capabilities, frameworks, and software components that strengthen the team’s long-term ability to diagnose and improve operational performance. • Collaborate with performance analysts, engineers, and program stakeholders to frame problems and design data-driven approaches to improving program outcomes. • Investigate systemic performance issues and engineer tools that surface root causes, prioritization signals, and improvement opportunities. • Communicate technical insights and analytical findings clearly to both technical teams and program leadership. • Support broader Navy performance initiatives by extending analytical methods and tooling beyond individual SLR use cases when appropriate.