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JobsFloridaJacksonvilleAssociate Director: PST AI Governance Lead

Associate Director: PST AI Governance Lead

RTX Corporation
AI GovernanceRemoteFull-timeJacksonville, Florida$157,000 to $299,000

RTX Corporation is hiring for the role of Associate Director: PST AI Governance Lead, Jacksonville, Florida (Remote). This is an AI Governance role in the governance, risk, and compliance field, with a posted range of $157,000 to $299,000. Review the full details below and apply directly with RTX Corporation.

Organization: RTX CorporationLocation: Jacksonville, FloridaWorkplace: RemoteFocus: AI GovernanceSalary: $157,000 to $299,000Posted: Jun 25, 2026
RTX Corporation is hiring for this AI Governance role in Jacksonville, one of the metros GRC Careers tracks for governance, risk, and compliance hiring. See other GRC roles in Jacksonville →

RTX is hiring an Associate Director to serve as the AI Governance Lead for its enterprise-wide SAP transformation program (oneRTX: PST). In this role you will define and oversee the responsible, compliant, and high-integrity use of AI across a mission-critical modernization effort. The PST program aims to harmonize processes, tools, and metrics across RTX while deploying a common enterprise resource management platform on SAP S/4 HANA.

The AI Governance Lead establishes governance practices for AI use within a regulated Aerospace & Defense environment, accounting for cybersecurity standards, export regulations, and sensitive data controls. The role defines, tracks, and reports metrics related to governance effectiveness, compliance, and AI/ML lifecycle management.

This is primarily a remote (work-from-home) role; candidates near an RTX site may have some onsite presence at their manager's discretion.

Qualifications

  • University degree and 12+ years relevant experience, or advanced degree and 10+ years (16 years in absence of a degree)
  • Experience in regulated environments such as Aerospace & Defense, including cybersecurity standards and export regulations
  • Ability to define, track, and report governance effectiveness and AI/ML lifecycle metrics
  • Understanding of AI/ML risks including bias, explainability, data quality, and operational reliability
  • Familiarity with sensitive data controls and compliance frameworks