Artificial Intelligence Governance Senior Manager

Artificial Intelligence Governance Senior ManagerCompany:The Boeing CompanyThe 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 governanceThis 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 enterprisePartner to drive practical intake, review, approval, exception, and escalation processes that enable responsible AI adoption while minimizing unnecessary delivery frictionPartner 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 processesDevelop governance approaches for traditional machine learning, generative AI, third-party AI services, and vendor-enabled AI capabilitiesDefine 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 readinessDevelop and deliver general and role-specific training, communications, and change management strategies which build awareness, accountability, and practical adoptionFoster a culture of enablement, accountability, integrity, and innovation consistent with Boeing’s ValuesMaintain robust governance frameworks, standards, policies, and procedures, that are scalable, measurable, risk-based, and fit for use across a diverse portfolio of AI applicationsPrioritize strategic investments in tooling, workflow automation, and governance infrastructure that integrate effectively with defined strategic roadmapDevelop 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 ROIStay abreast of emerging trends and best practices in AI Governance and related topics to ensure the organization remains at the forefront of industry standardsBasic Qualifications (Required Skills/Experience):5+ years of experience building, scaling, and operating governance, risk compliance, assurance, or control programs in a highly regulated, innovative environment1+ years of experience with AI/ML and generative AI lifecycle concepts, including model development, evaluation, deployment, monitoring, change management, documentation, and data governance1+ years of experience partnering directly with product, platform, engineering, or technical operations teams to implement governance within delivery environments1+ years of experience designing, supporting, or executing AI, data, privacy, cybersecurity, or other technology risks assessments and translating findings into practical controls and process improvements1+ years of experience translating business, regulatory, policy, and risk requirements into operational processes, controls, lifecycle checkpoints, and actionable implementation guidance1+ years of experience leading through influence in large, matrixed organizations and aligning technical, business, legal, and control stakeholders around shared outcomesPreferred Qualifications (Desired Skills/Experience):Active U.S. Security Clearance or the ability to obtain a U.S. Security ClearanceAdvanced degree or equivalent training in information systems, computer science, data science, engineering,  or a related fieldRelevant certifications in AI Governance, Responsible AI,  or a related fieldExperience supporting audit, regulatory readiness, or governance transformation initiatives within large, matrixed organizationsExperience working with AI governance,  wokflow or GRC tooling platforms, including OneTrust, Collibra, Archer, BigID, ServiceNow, or similar toolsExperience establishing governance approaches for generative AI, third-party AI services, or model lifecycle managementExperience working in aerospace, defense, or other highly regulated industriesHighly motivated, adaptable, and comfortable operating in both ambiguous and structured environmentsExcellent written and verbal communication skillsStrong judgement, prioritization, and decision-making skills, with the ability to manage multiple competing priorities using a risk-based approachConflict of Interest: Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process.Drug Free Workplace:Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol whe