Senior Supply Chain Manager – Artificial Intelligence, Analytics

Boeing

Senior 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

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Hard Skills

Artificial IntelligenceMachine LearningGenerative AIAgentic AIpredictive analyticssupply chain optimizationdata architectureanalytics processesportfolio executionexception management

Soft Skills

leadershipteam managementcross-functional collaborationcommunicationinfluencecoachingorganizational capabilityinnovationaccountabilitydata-driven decision-making

Tools & Technologies

AI solutionsdigital twindata governancecybersecuritybusiness strategyoperational prioritiesperformance metricsstakeholder engagementmilestone trackingROI tracking

Industry Keywords

commercial supply chaindigital transformationglobal change initiativesbusiness impactvalue realizationsupply chain processesAI-enabled capabilitiesbusiness requirementssuccess metricsportfolio roadmap

Tech Stack

Tools & technologies

Cyber 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