Artificial Intelligence Governance Senior Manager

Boeing•Berkeley, MO

3d•$161,500 - $233,450•Hybrid

About The Position

The Boeing Company is seeking an Artificial Intelligence Governance Senior Manager to join their team. This role is part of the Enterprise AI & Data (EAI&D) organization within Information Digital Technology and Security (IDT&S). The 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 is expected to bring 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. The candidate should bring enthusiasm, curiosity, and serve as a partner and advisor on AI risk, opportunity, and governance maturity.

Requirements

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 technical operations teams to implement governance within delivery environments.
1+ years of experience designing, supporting, or executing AI, data, privacy, cybersecurity, or other technology risks assessments and translating findings into practical controls and process improvements.
1+ years of experience translating business, regulatory, policy, and risk requirements into operational processes, controls, lifecycle checkpoints, and actionable implementation guidance.
1+ years of experience leading through influence in large, matrixed organizations and aligning technical, business, legal, and control stakeholders around shared outcomes.

Nice To Haves

Active U.S. Security Clearance or the ability to obtain a U.S. Security Clearance.
Advanced degree or equivalent training in information systems, computer science, data science, engineering, or a related field.
Relevant certifications in AI Governance, Responsible AI, or a related field.
Experience supporting audit, regulatory readiness, or governance transformation initiatives within large, matrixed organizations.
Experience working with AI governance, wokflow or GRC tooling platforms, including OneTrust, Collibra, Archer, BigID, ServiceNow, or similar tools.
Experience establishing governance approaches for generative AI, third-party AI services, or model lifecycle management.
Experience working in aerospace, defense, or other highly regulated industries.
Highly motivated, adaptable, and comfortable operating in both ambiguous and structured environments.
Excellent written and verbal communication skills.
Strong judgement, prioritization, and decision-making skills, with the ability to manage multiple competing priorities using a risk-based approach.

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.