Associate Director: PST AI Governance Lead (Remote)
RTXAbout the role
Date Posted:
2026-05-29Country:
United States of AmericaLocation:
US-TX-REMOTEPosition Role Type:
RemoteU.S. Citizen, U.S. Person, or Immigration Status Requirements:
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.Security Clearance Type:
None/Not RequiredSecurity Clearance Status:
Not RequiredAt RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems.
With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Join us and help shape the future of aerospace and defense.
RTX launched oneRTX focused on leveraging the scale of our three business units to improve collaboration, cost structure, productivity, and performance.
The oneRTX: Process & Systems Transformation (PST) project is one of several major, multi-year initiatives under oneRTX that align to our goals as a company and optimize how we work, how we operate and how we deliver to our customers so that we can achieve our full potential.
The intent of oneRTX: PST is to harmonize processes, tools, and metrics across RTX, while deploying a common enterprise resource management platform – SAP’s S/4 HANA. The result will be a common user experience across the businesses, real-time visibility into critical data, and automation of manual tasks to enable all employees to focus on value-add activities. With processes optimized and harmonized, we can leverage our scale so teams across RTX can share resources, leverage talent seamlessly and identify efficiencies. We will reduce cost and effort and improve performance as we break down silos and establish consistent ways of working.
RTX is seeking an experienced AI Governance Lead to join our Digital Technology Strategy, Architecture & Platform team.
What You Will Do
As the AI Governance Lead for our enterprise-wide SAP transformation program (PST), you will define and oversee the responsible, compliant, and high‑integrity use of AI across a mission‑critical modernization effort at RTX. You will build and operationalize governance frameworks that ensure AI‑enabled capabilities within PST meet strict industry, regulatory, and security expectations.
You will 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. A major part of your role will involve defining, implementing, and monitoring key performance indicators (KPIs) and health metrics related to AI governance, risk, compliance, model performance, and responsible-use standards. You’ll define reporting mechanisms that enable leadership to make data‑driven decisions and maintain oversight across the transformation.
Your work will ensure that PST leverages AI safely, ethically, and effectively supporting digital modernization while protecting sensitive information and reinforcing our commitment to operational excellence.
Qualifications You Must Have
Typically requires a 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
Qualifications We Prefer
Advanced degree or certifications in governance, cybersecurity, AI risk, data ethics, or compliance and hands‑on familiarity with AI/ML model monitoring, model validation, or continuous assurance methods
Experience sup
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