Leads onsite digital technology operations, serving as the primary escalation point between enterprise IT, local leadership, vendors, and production environments. Oversees infrastructure reliability, security, compliance, audit readiness, hosting costs, service delivery, vendor SLAs, and technology deployments. Coordinates network upgrades, facility expansions, equipment installations, collaboration rollouts, maintenance, and telecommunications improvements while advocating for site priorities and ensuring reliable technology support.

Build and improve large-scale machine learning models for aviation prediction products, including runway landing times, gate arrivals, and taxi durations. Develop high-performance systems using historical aviation data and complex data types, contribute ideas in an agile environment, and improve operational efficiency for airlines and airports. Preferred experience includes Kubernetes, AWS, GPU acceleration, graph neural networks, geospatial data, observability, ETL orchestration, and large-scale data processing.