Associate Director: Pst AI Governance Lead (remote)

RTX RTX · Aerospace · austin, TX +1 · Digital Technology

The Associate Director: PST AI Governance Lead will define and oversee the responsible, compliant, and high-integrity use of AI within RTX's enterprise-wide SAP transformation program (PST). This role involves building and operationalizing governance frameworks, embedding AI guardrails into system components and processes, and defining/monitoring KPIs for AI governance, risk, compliance, and responsible-use standards. The goal is to ensure AI is leveraged safely, ethically, and effectively in a mission-critical modernization effort within a regulated aerospace and defense environment.

What you'd actually do

  1. Define and oversee the responsible, compliant, and high‑integrity use of AI across a mission‑critical modernization effort at RTX.
  2. Build and operationalize governance frameworks that ensure AI‑enabled capabilities within PST meet strict industry, regulatory, and security expectations.
  3. Partner with SAP functional teams, data engineering, cybersecurity, and program leadership to embed AI guardrails into system components, workflow automation, data pipelines, and development processes.
  4. Define, implement, and monitoring key performance indicators (KPIs) and health metrics related to AI governance, risk, compliance, model performance, and responsible-use standards.
  5. Define reporting mechanisms that enable leadership to make data‑driven decisions and maintain oversight across the transformation.

Skills

Required

  • University Degree and minimum 12 years prior relevant experience or an Advanced Degree in a related field and minimum 10 years of experience or in absence of a degree, 16 years of relevant experience
  • Experience working in regulated environments such as Aerospace & Defense, including familiarity with cybersecurity standards, export regulations, and sensitive data controls
  • Demonstrated ability to define, track, and report metrics related to system performance, governance effectiveness, compliance, or AI/ML lifecycle management
  • Understanding of AI/ML risks, including bias, explainability, data quality, and operational reliability
  • Experience developing or operating governance frameworks at scale for enterprise systems or transformation programs and influencing/collaborating across SAP, data, security, engineering, and compliance teams

Nice to have

  • Advanced degree or certifications in governance, cybersecurity, AI risk, data ethics, or compliance
  • Hands-on familiarity with AI/ML model monitoring, model validation, or continuous assurance methods
  • Experience supporting SAP implementations or enterprise ERP transformation initiatives
  • Background in enterprise risk management, GRC tools, or model risk governance
  • Knowledge of government contracting, defense compliance standards, or industry audit frameworks
  • Experience creating dashboards or metric frameworks for governance or AI performance reporting

What the JD emphasized

  • Experience working in regulated environments such as Aerospace & Defense
  • Understanding of AI/ML risks
  • Experience developing or operating governance frameworks at scale for enterprise systems or transformation programs

Other signals

  • AI Governance
  • Responsible AI
  • AI Risk Management
  • Compliance
  • Enterprise Systems