AI Product Delivery and Supply Chain Senior Manager

Boeing United State
Visa Sponsorship Relocation
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AI Summary

Lead AI product strategy and execution, partner with IT and business units, and ensure data and AI platform capabilities are tightly aligned with evolving business strategies and priorities.

Key Highlights
Lead AI product strategy and execution
Partner with IT and business units
Ensure data and AI platform capabilities are tightly aligned
Key Responsibilities
Partner with IT, business units, and executive leadership
Lead AI product strategy and execution
Translate business problems into Conversational AI, Agentic AI, or ML solutions
Operationalize self-service analytics capabilities and scalable data pipelines
Build trusted relationships with senior business leaders
Technical Skills Required
AI Machine Learning Agentic AI Cloud platforms (AWS, Azure, GCP) Data Science Analytics Data Governance Model development Testing Production rollout Incident response Monitoring Performance tuning Ongoing enhancement
Benefits & Perks
Competitive base pay and variable compensation opportunities
Health insurance
Flexible spending accounts
Health savings accounts
Retirement savings plans
Life and disability insurance programs
Paid time away from work
Relocation package provided
Visa sponsorship available
Nice to Have
Experience in supply chain, logistics, inventory, or parts domains
Experience with federated governance, data cataloging, lineage, and ethical AI frameworks

Job Description


Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Company is currently seeking an AI Product Delivery and Supply Chain Senior Manager to join the team in Seattle, WA or Plano, TX.

Boeing is accelerating its data driven transformation by productizing AI solutions that deliver measurable operational value. The AI Product Delivery and Supply Chain Senior Manager will lead the evolution of our BI capability into a product centric AI organization for Supply Chain and Parts. This role combines Supply Chain AI Strategy, AI delivery leadership on a scale, talent development, and tangible business value accountability. You will translate supply chain problems into productized AI solutions such as conversational assistants, enhanced part search, predictive replenishment, inventory optimization, value-based pricing, automation through Agentic AI and decision support. You will scale the delivery practice and ensure outcomes are realized and measured across the business.

Position Responsibilities:


  • Partner with IT, business units, and executive leadership to ensure Data and AI platform capabilities are tightly aligned with evolving business strategies and priorities
  • Lead AI product strategy and execution by working with business teams to discover, prioritize, and deliver analytics and AI use cases that drive measurable outcomes
  • Partner with BU teams, Data & AI platform and Enterprise Data Governance teams to define and execute a roadmap and to build a data foundation based on prioritized use cases
  • Ensure analytics solutions are scalable, sustainable, and aligned with enterprise architecture and governance standards.
  • Translate business problems into Conversational AI, Agentic AI, or ML solutions with clear data requirements and success criteria
  • Lead product lifecycle management, including Model development, testing, production rollout, incident response, monitoring, performance tuning, and ongoing enhancement
  • Operationalize self service analytics capabilities and scalable data pipelines across BU to accelerate insight delivery for business stakeholders
  • Build trusted relationships with senior business leaders to influence decision-making and embed analytics into core processes and measure ROI & business impact
  • Define required skillsets and build talent to develop AI and cloud capabilities across businesses.
  • Lead and develop analytics managers and team leads, growing individual capability across data science, and advanced analytics Manage program delivery, track KPIs and ROI, and present business facing scorecards and updates to stakeholders and steering committees


Basic Qualifications (Required Skills/Experience):


  • Bachelor’s degree or higher
  • 7+ years of experience delivering AI solutions at enterprise scale, including production ML/AI deployments
  • 5+ years of experience of leading AI and analytics teams across a large organization
  • 5+ years of experience in product leadership or end to end ownership of data or AI products
  • 5+ years of experience success building, upskilling, and leading cross functional analytics and AI teams
  • 5+ years of experience in cloud based AI and analytics (e.g., AWS, Azure or GCP)
  • 5+ years of experience in ML lifecycle, generative AI, Agentic AI, MLOps, and production engineering
  • 5+ years of experience in being a thought leader and advocate for analytics, AI, and data-driven decision-making to solve key business problems and generate tangible business value
  • 5+ years of experience to translate complex technical insights into clear, compelling narratives tailored to executive, technical, and operational audiences
  • 5+ years of experience in orchestrating collaboration across architecture, product management, business teams and other stakeholders to ensure seamless delivery and adoption of Data and AI capabilities
  • 3+ years of experience managing and prioritizing capability backlogs, coordinating cross-functional teams, and overseeing PMO activities to ensure timely delivery and value realization
  • 3+ years of experience stakeholder management skills across technical and business audiences


Preferred Qualifications (Desired Skills/Experience):


  • Master’s degree in AI, ML, Data Science, or related field
  • Experience in supply chain, logistics, inventory, or parts domains
  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Experience with federated governance, data cataloging, lineage, and ethical AI frameworks
  • Experience measuring and reporting ROI for AI initiatives and presenting to executive stakeholders


Conflict 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 when criteria is met as outlined in our policies.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range: $204,850 – $277,150

Applications for this position will be accepted until Feb. 16, 2026

Export Control Requirements:

This is not an Export Control position.

Education

Bachelor's Degree or Equivalent Required

Relocation

This position offers relocation based on candidate eligibility.

Visa Sponsorship

Employer willing to sponsor applicants for employment visa status.

Shift

This position is for 1st shift

Equal Opportunity Employer:

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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