AI Governance Sr Manager

• 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.

• 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. 

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. 

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