The Boeing Company
SupplyChainArtificialIntelligence&AnalyticsSeniorManager
“Supply Chain Artificial Intelligence & Analytics Senior Manager at The Boeing Company. Skills: Supply Chain AI, Analytics Product Delivery, Cross-functional Teams, AI/ML. Lead Commercial Supply Chain AI portfolio. Align with business strategy”
What You'll Achieve.
improve commercial supply chain performance; measurable outcomes that improve speed, cost, service, and resiliency; measurable value outcomes; improve performance and decision-making; delivering measurable results; clear business requirements, data needs, and success metrics; balancing short-term value delivery with longer-term transformation opportunities; successful delivery, adoption, and sustainment of AI solutions; value realization reporting; Track business impact and Return on Investment (ROI); provide regular updates to leadership and steering committees
Industry & Context.
translating business challenges into scalable AI solutions; Translate commercial supply chain business problems into Artificial Intelligence/ Machine Learning (AI/ML), Generative AI, Agentic AI, and analytics use cases
U. S. Person as defined by 22 C. F. R. §120. 62 is required, U. S. Citizen, U. S. National, lawful permanent resident, refugee, or asylee
What They're Looking For.
Must Have
10+ years of experience leading digital transformational and global change initiatives in a corporate work environment, 5+ years of experience managing or leading artificial intelligence (AI) development teams, 5+ years of experience leading or managing large or complex teams of managers and or non-management employees, 5+ years of experience leading cross functional teams, 5+ years of experience in technical portfolio execution, 5+ years of experience presenting technical and programmatic material to a variety of internal and external customers at various levels in their respective organizations, 5+ years of experience with Artificial Intelligence (AI) and Machine Learning (ML) technologies, including the ability to integrate AI-driven insights into data architecture and analytics processes
Nice to Have
Master’s degree in AI, data science, or related field, Experience supporting commercial aerospace, parts, inventory, logistics, supplier management, or customer-facing supply chain operations, Experience leading Agentic AI, GenAI, or analytics product delivery in a supply chain environment, Experience with cloud-based AI and analytics platforms such as AWS, Azure, or GCP, Experience with ML lifecycle, Machine Learning Operations (MLOps), data pipelines, monitoring, and production support, Experience with enterprise data governance, cataloging, lineage, and ethical AI practices, Experience measuring and reporting business value, ROI, and operational impact from AI initiatives, Experience working in a matrixed environment with business, technology, and governance stakeholders
What You'll Do.
Lead Commercial Supply Chain AI portfolio
Align with business strategy
Partner with leaders to identify opportunities
Manage team of managers
Translate business problems into AI/ML use cases
Define and maintain portfolio roadmap
Coordinate across teams for successful delivery
Support development and deployment of AI capabilities
Oversee portfolio execution
Ensure initiatives are scalable
Build trusted relationships with leaders
Track business impact and ROI
Develop talent and coach managers
Champion a culture of innovation
How You'll Work.
Team & Collaboration
leading managers and cross-functional teams in a matrixed enterprise environment; Partner with commercial supply chain, procurement, logistics, inventory, planning, and operations leaders; Manage a team of managers and/or team leads; Coordinate across product, data, technology, governance, and business teams; Build trusted relationships with commercial business leaders; working in a matrixed environment with business, technology, and governance stakeholders
Communication Scope
presenting technical and programmatic material to a variety of internal and external customers at various levels in their respective organizations
Process & Methodology
technical portfolio execution, portfolio roadmap, portfolio execution, milestone tracking, issue resolution, dependency management
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