Artificial Intelligence Governance Senior Manager

Artificial Intelligence Governance Senior Manager

Company:

The Boeing Company

The Boeing Company is currently seeking an Artificial Intelligence Governance Senior Manager to join the team in Seattle, WA; Berkeley, MO; Everett, WA; Hazelwood, MO; Kent, WA; Arlington, VA; Mesa, AZ; North Charleston, SC; Renton, WA; or Ridley Park, PA. 

The selected candidate will lead and advance Boeing’s Enterprise Responsible Artificial Intelligence (AI) Program within Enterprise AI & Data (EAI&D) organization that is part of Information Digital Technology and Security (IDT&S). This position will report directly to the Sr. Executive Director of Enterprise Artificial Intelligence and will partner closely with functional organizations including Engineering, Law and Global Compliance (L&GC), Corporate Audit, IDT&S and Boeing subsidiaries.  

This role will serve as the IDT&S lead for AI Governance across Boeing and will partner with Engineering and L&GC governance leaders to establish a scalable, risk-based operating model that enables responsible AI across the enterprise. This seasoned leader brings deep, hands-on experience architecting, building, and operationalizing global governance infrastructure from the ground up in complex, global, highly matrixed and regulated environments.

This leader will partner with Engineering and L&GC to establish the vision, operating model, frameworks and team structure necessary to build repeatable, measurable, and scalable AI Governance practices. This candidate brings enthusiasm, curiosity, and will serve as a partner and advisor to executive leadership on AI risk, opportunity, regulatory trajectory, and governance maturity.

Position Responsibilities:

• Refine and implement Boeing’s AI Governance strategy, operating model, and multi-year roadmap

• Develop and lead a high-performing, multidisciplinary team to execute on program strategy, policy, controls, oversight, stewardship, and adoption across the enterprise

• Design risk-tiered governance approaches proportionate to use case sensitivity, business impact, technical complexity, and regulatory exposure

• Build practical intake, review, approval, exception, and escalation processes that enable responsible AI adoption while minimizing unnecessary delivery friction

• Drive alignment across AI governance, data governance, privacy, cybersecurity, and enterprise risk management practices

• Define organizational structure, decision rights, role clarity, and capability development pathways

• Foster a culture of enablement, accountability, integrity, and innovation consistent with Boeing’s Values

• Establish and maintain robust governance frameworks, standards, policies, and procedures, that are scalable, measurable, risk-based, and fit for use across a diverse portfolio of AI applications

• Prioritize strategic investments in tooling, workflow automation, and governance infrastructure that integrates effectively with IDT&S, engineering, and enterprise delivery process

• Develop OKRs, KPIs, and Metrics that measure adoption, control effectiveness, cycle time, risk reduction, cost avoidance, and business enablement, and provide executive level reporting on program impact and ROI

• Partner with data scientists, engineers, privacy, legal, and compliance teams to bridge innovation and risk management, with an enablement mindset, and embed AI governance requirements into AI development, validation, deployment, monitoring, and lifecycle change processes

• Develop governance approaches for traditional machine learning, generative AI, third-party AI services, and vendor-enabled AI capabilities

• Define documentation, traceability, validation, and lifecycle evidence standards, including model cards, data lineage, validation artifacts, human oversight requirements, and change records, to support compliance, assurance, and audit readiness

• Develop and deliver general and role-specific training, communications, and change management strategies which build awareness, accountability, and practical adoption

• Stay abreast of emerging trends and best practices in AI Governance and related topics to ensure the organization remains at the forefront of industry standards

Basic Qualifications (Required Skills/Experience):

• 10+ years of experience building, scaling, and operating governance, risk compliance, assurance, or control programs in a highly regulated, innovative environment

• 3+ years of experience with AI/ML and generative AI lifecycle concepts, including model development, evaluation, deployment, monitoring, change management, do