AI Governance Product Manager

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 Senior Manager, AI Governance Product Lead 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 diverse 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 skills.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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