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About the Role

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. This role drives alignment across business, technology, data, risk, and compliance stakeholders to safely accelerate the organization's use of data and artificial intelligence.

Responsibilities

• 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.

Requirements

• Must be authorized to work in the U.S. without the company’s immigration sponsorship now or in the future.
• 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.

Skills

• AI governance practices
• Model risk management
• Transparency
• Lifecycle controls
• Policy automation
• Metadata platforms
• Lineage
• Quality monitoring
• Model registries
• Responsible AI controls
• Agile delivery
• Backlog management
• Responsible AI certifications
• SAFe Product Owner/Product Manager
• Model risk management
• AI audit frameworks
• NIST AI RMF
• EU AI Act concepts
• OCC/FRB guidance
• Operating model transformations
• Governance process redesign
• Collibra
• Alation
• Informatica
• Monte Carlo
• Databricks
• MLflow
• AI governance platforms

Location

• US-NY-REMOTE

Work Type

• Hybrid
• Remote

Experience Level

• Senior Manager
• 10 years prior relevant experience
• 7 years experience
• 8+ years of experience
• 5+ years experience
• 5+ years working with AI/ML model lifecycle
• 5+ years experience in Agile delivery

Education Level

• University Degree or equivalent experience
• Advanced Degree in a related field
• Master’s degree in Business, Information Systems, Data Science, or a related field preferred

Salary/Compensations

• 132,400 USD - 251,600 USD

Benefits

• parental (including paternal) leave
• flexible work schedules
• achievement awards
• educational assistance
• child/adult backup care
• medical
• dental
• vision
• life insurance
• short-term disability
• long-term disability
• 401(k) match
• flexible spending accounts
• employee assistance program
• Employee Scholar Program
• paid time off
• holidays

About the Company

• 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.

Equal Opportunity

• 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.