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Senior Supply Chain Manager – Artificial Intelligence, Analytics
BoeingSenior Manager leading AI initiatives for Boeing's commercial supply chain. Focus on improving performance across sourcing, procurement, logistics, and operations with measurable outcomes.
Posted 5/29/2026full-timeDallas • Texas, Washington • 🇺🇸 United StatesSenior💰 $218,450 - $295,550 per yearWebsite
Tech Stack
Tools & technologiesCyber Security
About the role
Key responsibilities & impact- Lead the Boeing Commercial Services (BGS) Commercial Supply Chain AI portfolio, ensuring alignment with business strategy, operational priorities, and measurable value outcomes
- Partner with commercial supply chain, procurement, logistics, inventory, planning, and operations leaders to identify and prioritize AI opportunities that improve performance and decision-making
- Manage a team of managers and/or team leads responsible for executing AI initiatives, supporting business stakeholders, and delivering measurable results
- Translate commercial supply chain business problems into Artificial Intelligence/ Machine Learning (AI/ML), Generative AI, Agentic AI, and analytics use cases with clear business requirements, data needs, and success metrics
- Define and maintain a prioritized portfolio roadmap for commercial use cases, balancing short-term value delivery with longer-term transformation opportunities
- Coordinate across product, data, technology, governance, and business teams to ensure successful delivery, adoption, and sustainment of AI solutions
- Support the development and deployment of AI-enabled capabilities such as supply chain digital twin, predictive analytics, supplier performance analytics, customer growth analytics, decision support, agentic automation, exception management, and supply chain optimization
- Oversee portfolio execution, milestone tracking, issue resolution, dependency management, and value realization reporting
- Ensure initiatives are scalable, sustainable, and aligned with Boeing enterprise architecture, data governance, cybersecurity, and responsible AI standards
- Build trusted relationships with commercial business leaders to influence decision-making and embed AI into core supply chain processes
- Track business impact and Return on Investment (ROI) for portfolio initiatives, and provide regular updates to leadership and steering committees
- Develop talent, coach managers, and build organizational capability in AI-enabled supply chain transformation
- Champion a culture of innovation, accountability, and data-driven decision-making within the commercial supply chain organization
Requirements
What you’ll need- 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
Benefits
Comp & perks- Health insurance
- Flexible spending accounts
- Health savings accounts
- Retirement savings plans
- Life and disability insurance programs
- Paid time off
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Artificial IntelligenceMachine LearningGenerative AIAgentic AIpredictive analyticssupply chain optimizationdata architectureanalytics processesportfolio executionexception management
Soft Skills
leadershipteam managementcross-functional collaborationcommunicationinfluencecoachingorganizational capabilityinnovationaccountabilitydata-driven decision-making