Artificial Intelligence Governance Senior Manager

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

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;
Mesa, AZ;
Seal Beach, CA;
Arlington, VA;
North Charleston, SC;
Renton, WA; or Ridley Park, PA.

The selected candidate will 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 Enterprise Artificial Intelligence Governance Senior Manager and will partner closely with business and functional organizations.

This role will serve as the EAI&D lead for AI Governance and will partner to establish a scalable, risk-based operating model that enables responsible AI across the enterprise. This leader brings deep, hands-on experience architecting, building, and operationalizing global AI governance infrastructure from the ground up in complex, global, highly matrixed and regulated environments, with a particular emphasis on model risk management and model governance

This candidate brings enthusiasm, curiosity, and will serve as a partner and advisor on AI risk, opportunity, and governance maturity.

Position Responsibilities:

* Refine and implement Boeing's AI Governance strategy, operating model, and multi-year roadmap across EAI&D and other partner functions.

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

* Partner to drive practical intake, review, approval, exception, and escalation processes that enable responsible AI adoption while minimizing unnecessary delivery friction

* 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

* Foster a culture of enablement, accountability, integrity, and innovation consistent with Boeing's Values

* 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 integrate effectively with defined strategic roadmap

* Develop and refine OKRs, KPIs, and Metrics that measure adoption, control effectiveness, cycle time, risk reduction, cost avoidance, and business enablement, and partner to report on program impact and ROI

* 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):

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

* 1+ years of experience with AI/ML and generative AI lifecycle concepts, including model development, evaluation, deployment, monitoring, change management, documentation, and data governance

* 1+ years of experience partnering directly with product, platform, engineering, or…