AI Governance Sr Manager

Date Posted:

2026-10-08

 Country:

United States of America

 Location:

US-NY-REMOTE

 Position Role Type:

Remote

 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 Sr Manager is a strategic leader responsible for shaping, delivering, and operationalizing governance capabilities that ensure trustworthy data and responsible AI across the enterprise.
• In this role, you will partner closely with the Director of Data Governance & AI Governance to translate governance frameworks, regulatory expectations, and risk controls into scalable products, platforms, and operating models.
• You will drive alignment across business, technology, data, risk, and compliance stakeholders to ensure the organization can safely accelerate its use of data and artificial intelligence.
• This position requires deep domain understanding of emerging AI governance practices such as model risk management, transparency, and lifecycle controls.
• You will guide discovery, define product vision, prioritize features, and oversee execution of core governance capabilities—such as policy automation, metadata platforms, lineage, quality monitoring, model registries, and responsible AI controls.
• Your work will be foundational to building enterprise trust, ensuring regulatory readiness, and scaling the organization’s AI ambitions responsibly.

What You Will Do

• Define AI Governance Strategy & Roadmap: Develop and maintain a multi-year strategy for AI Governance platforms, aligning with enterprise risk, compliance, data strategy, and in alignment with Product AI Governance.
• Coordinate & Lead team to roadmap and delivery targets: Drive alignment around key milestones, orchestrate cross functional coordination, and proactively remove blockers to ensure the team can deliver iterative, high value capabilities.
• Translate Governance Requirements into Platform Capabilities: Convert policies, standards, and control requirements into actionable feature sets, user stories, and workflows across data and AI domains within the platform.
• Discovery & Stakeholder Alignment: Structured discovery with Legal, Compliance, Risk, Data Engineering, and business teams to address governance needs.
• Advise on Governance Operating Models: Support the maturation of AI governance processes and federated governance structures.
• Delivery across AI Governance capabilities: Oversee development of capabilities such as AI model registries, AI use case registry and risk assessment tools, incident management, and monitoring workflows.
• Regulatory & Control Compliance: Collaborate with Risk, Compliance, Legal, and Internal Audit to ensure RTX meet regulatory requirements (e.g., AI regulations, GCP-60).
• Champion Responsible AI: Embed fairness, transparency, explainability, and ethical guidelines into AI lifecycle tools and processes.
• Enable Business Adoption: Support training, communications, change management, and rollout strategies to onboard user and teams.
• Manage Risk & Prioritization: Identify and manage risk associated with AI use cases
• Mentor & Elevate the Team: Provide guidance to analysts, product managers, and governance SMEs; help uplift skills, tool proficiency, and governance maturity across the organization.
• Create and maintain playbooks for model evaluations, bias testing, privacy assessments, and production monitoring with clear thresholds/SLA triggers.
• Drive change management : training, communications, and adoption strategies to embed responsible AI practices across business units.
• Travel Requirements: Up to 20%

Qualifications You Must Have

• Typically requires: A University Degree or equivalent experience and minimum 10 years prior relevant experience, or An Advanced Degree in a related field and minimum 7 years experience
• 8+ years of experience in product management, data governance, analytics platforms, or AI/ML governance, including leadership of cross-functional initiatives.
• 5+ years experience in data platforms, governance tools, or enterprise AI capabilities.
• 5+ years working with AI/ML model lifecycle, including AI governance, risk assessments, transparency documentation, and monitoring practices.
• Experience translating legal, regulatory, and risk requirements into product features, workflows, and control checkpoints.
• 5+ years experience in Agile delivery, backlog management, and writing clear epics, features, and user stories.

Qualifications

We Prefer

• Master’s degree in Business, Information Systems, Data Science, or a related field preferred
• ​Experience supporting enterprise-level AI Governance programs.
• Background in regulated industries (financial services, healthcare, insurance, life sciences, energy).
• Certifications such as Responsible AI certifications, or SAFe Product Owner/Product Manager.
• Experience with model risk management, AI audit frameworks, or regulatory guidelines (NIST AI RMF, EU AI Act concepts, OCC/FRB guidance).
• Experience driving operating model transformations or governance process redesign.
• Outstanding collaboration and influence skills across technical and non-technical stakeholders.
• Familiarity with tools such as Collibra, Alation, Informatica, Monte Carlo, Databricks, MLflow, or AI governance platforms.
• Strong communication skills and the ability to simplify complex governance concepts for broad and varied audiences.
• Experience delivering enterprise data products or governance capabilities at scale.

What We Offer

• Whether you’re just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs.
• Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.
• Learn More & Apply Now!

Work Location

Remote

Please ensure the role type defined below is appropriate for your needs before applying to this role.

This position is classified as

Remote: Employees who are working in Remote roles will work primarily offsite (from home). If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key s