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

Requirements

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, documentation, and data governance
3+ years of experience partnering directly with product, platform, engineering, or technical operations teams to implement governance within delivery environments
3+ 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
3+ years of experience translating business, regulatory, policy, and risk requirements into operational processes, controls, lifecycle checkpoints, and actionable implementation guidance
3+ years of experience leading through influence in large, matrixed organizations and aligning technical, business, legal, and control stakeholders around shared outcomes
Active U.S. Security Clearance
Advanced degree or equivalent training in information systems, computer science, data science, engineering, public policy, law, or a related field
Relevant certifications in AI Governance, Responsible AI, privacy, cybersecurity, or a related field
Experience supporting audit, regulatory readiness, or governance transformation initiatives within large, matrixed organizations
Experience working with AI governance, data governance, privacy, workflow 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, including the ability to communicate effectively with executives, technical, legal, compliance, and audit audiences
Strong judgement, prioritization, and decision-making skills, with the ability to manage multiple competing priorities using a risk-based approach

Benefits

Health insurance
Flexible spending accounts
Health savings accounts
Retirement savings plans
Life and disability insurance programs
Paid time off
Unpaid time away from work

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI Governancerisk complianceAI/ML lifecyclemodel developmentdata governancecybersecurity risk assessmentsoperational processescontrolschange managementdocumentation standards

Soft Skills

leadershipinfluencecommunicationadaptabilityjudgmentprioritizationdecision-makingaccountabilityinnovationcollaboration

Certifications

AI Governance certificationResponsible AI certificationprivacy certificationcybersecurity certificationadvanced degree in information systemsadvanced degree in computer scienceadvanced degree in data scienceadvanced degree in engineeringadvanced degree in public policyadvanced degree in law