AI Governance Analyst

Date Posted:

2026-07-27

Country:

United States of America

Location:

US-NY-REMOTE

Position Role Type:

Hybrid

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Must be authorized to work in the U.S. without the company’s immigration sponsorship now or in the future. The company will not offer immigration sponsorship for this position. The company will not seek an export authorization for this role.

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

At 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.

The following position is to join our RTX Corporate, Enterprise Services team:

The AI Governance Analyst acts as a subject matter expert across AI governance, risk management, compliance monitoring and AI Incident response. The role requires the ability to manage moderately sized processes and coach lower-level professionals and operate with minimal oversight.

The ideal candidate demonstrates strong analytical capabilities, cross-functional influence, and the ability to integrate regulatory, technical, operational, and risk elements in unified governance practices.

What You Will Do:

AI Governance & Compliance Execution

• Support execution and continuous improvement of the AI governance lifecycle, ensuring proper identification, assessment, approval, monitoring, and retirement of AI use cases.

• Monitor evolving global AI regulations, standards, and industry best practices, assess compliance impacts, and recommend process updates.

• Perform compliance monitoring and control testing for AI governance controls, evaluating design and operating effectiveness.

• Manage documentation requirements such as model cards, impact assessments, risk assessments, testing evidence, and approval records.

• Coordinate and perform third-party AI governance assessments related to service provider compliance and control adequacy.

AI Incident Response & Operational Readiness

• Support the full AI Incident Response lifecycle across detection, triage, analysis, containment, mitigation, validation, closure and after-action review.

• Facilitate technical investigative activities including model behavior analysis, dataset lineage review, adversarial prompt investigation, and model drift analysis.

• Maintain and improve AI incident response playbooks, severity models, communication cadences, and escalation pathways.

• Partner with Cybersecurity, Legal, Privacy, Data Governance, Safety, and other enterprise incident response teams to ensure coordinated cross-policy handling and escalation.

Reporting, Metrics & CrossFunctional Influence

• Develop and report on KPIs across AI governance and incident response functions to leadership.

• Prepare executive-ready communications related to incident status, risks, findings, and recommended actions.

• Influence stakeholders across Legal, Compliance, Cybersecurity, Engineering and Business Units to ensure consistent interpretation and implementation of AI governance requirements.

Program Development & Continuous Improvement

• Contribute to the enhancement of AI governance policies, standards, and operational processes

• Lead after-action reviews for lower-severity AI incidents and drive corrective actions to closure.

• Provide thought leadership by monitoring emerging AI risks, threats, and operational practices, proactively recommending program improvements.

Travel Requirements: Up to 25%

Qualifications You Must Have:

• University degree in Business, Engineering, Computer Science, Data Science, Cybersecurity, or related STEM or technical field with 8+ years prior relevant experience, or an advanced degree with 5+ years of experience.

• 3+ years experience in AI governance, AI/ML systems, incident response, risk management, compliance, digital governance, or cybersecurity.

• 3+ years experience and understanding of AI risks, AI control frameworks, governance processes, and regulatory expectations.

• 3 + years experience leading c…