Teams at RTX

Design, configure, and maintain enterprise AI governance platforms and workflows (evidence capture, controls, reporting). Build integrations and automations with enterprise systems, enable metrics and data quality, translate Responsible AI policies into operational controls, coordinate vendors, and deliver training and enablement to drive adoption and audit readiness.

Manage and improve enterprise AI governance lifecycle, perform compliance testing, lead AI incident response investigations, coordinate cross-functional stakeholders, report KPIs, and drive policy and program enhancements.

Lead development and operationalization of enterprise AI governance products: define strategy and roadmap, translate policies into platform features, oversee delivery of model registries, monitoring, lineage, and control workflows, ensure regulatory readiness, drive adoption and change management, mentor team members, and embed responsible AI practices across the organization.