New job, posted less than a week ago!
Job Details
Posted date: Jun 01, 2026
Category: Program Management|Data Science & Analytics|Supply Chain Management|Business
Location: Seattle, WA
Estimated salary: $198,000
Range: $168,300 - $227,700
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 looking for a highly experienced and detail-oriented Senior Supply Chain Artificial Intelligence (AI) Program Managerto join the team in Seattle, WA or Dallas, TX.
The Senior Supply Chain Artificial Intelligence (AI) Program Manage will lead the execution coordination and operating rhythm for large, cross-functional AI programs supporting the Boeing Global Services (BGS) Supply Chain organization.
This role is responsible for driving program transparency, managing status reporting, coordinating the execution operating model, supporting agile operations, and helping optimize team and delivery capacity across multiple AI initiatives.
This position will serve as the central coordinator across product managers, delivery teams, business stakeholders, and leadership to bring together program information in a clear, concise, and decision-ready format. The ideal candidate will have strong experience in program management, agile operations, executive reporting, capacity optimization, workshop facilitation, AI analytics, technical fluency, and cross-functional coordination, along with the ability to coach product managers and help drive disciplined execution across multiple AI initiatives.
Position Responsibilities:
Lead program management activities for large-scale BGS Supply Chain AI programs, ensuring alignment across business, product, technology, and delivery teams
Establish and maintain the program execution operating model, including governance, cadence, decision forums, and escalation paths
Manage integrated program plans, milestones, dependencies, risks, issues, and action items across multiple workstreams
Own the preparation of status reporting, executive summaries, steering committee materials, and leadership-ready communications
Consolidate complex program information into clear, concise, and actionable updates for leadership and stakeholders
Support agile operating rhythm across product and delivery teams, including sprint planning support, release coordination, backlog alignment, and operational readiness
Coach and support product managers in program execution discipline, stakeholder communication, prioritization, and delivery management
Coordinate across multiple teams to ensure program visibility, alignment, and timely issue resolution
Track program health, identify blockers, and drive accountability for actions and commitments
Lead capacity optimization across AI programs and workstreams by analyzing team availability, delivery demand, skill constraints, and prioritization tradeoffs
Support resource planning and capacity forecasting to help leadership balance demand, manage constraints, and make informed prioritization decisions
Develop and maintain reporting on team capacity, utilization, delivery throughput, and forecasted delivery risk
Support value tracking, Key Performance Indicators (KPI) reporting, and milestone-based progress reporting for AI initiatives
Partner with senior leaders to ensure program and capacity information is structured in a way that enables effective decision-making
Improve program processes, reporting standards, and operating mechanisms to increase efficiency and execution quality
Facilitate cross-functional collaboration and ensure consistent communication across business, product, and technical stakeholders
Apply AI and analytics technical knowledge to support informed program discussions, identify dependencies, and translate technical concepts for business and leadership audiences
Plan and facilitate workshops with business, product, technical, and delivery stakeholders to drive alignment on priorities, operating model decisions roadmaps, risks, and execution plans