AI Governance Analyst

About the role

The AI Governance Analyst role is part of RTX's Corporate, Enterprise Services team. RTX is the world's largest aerospace and defense company with 185,000 employees united by purpose and inspired to solve complex problems.

Responsibilities

• Execute and continuously improve 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.
• 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.
• 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.
• 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.

Qualifications

• 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 cross-functional technical investigations or governance processes with minimal oversight.

What We Offer

• Robust total rewards package including compensation, healthcare, wellness, retirement, and work/life benefits.
• Career development and recognition programs.
• Various benefits such as parental leave, flexible work schedules, achievement awards, educational assistance, and child/adult backup care.