AI Product Delivery Lead
Job Description
This role is at Spirit AeroSystems, Inc. a wholly owned subsidiary of The Boeing Company, supporting Spirit’s Commercial Business Units (“Spirit Commercial”). Spirit Commercial designs and builds commercial aerostructures, including for Boeing Commercial Airplanes, one of Boeing’s three business units and the premier manufacturer of commercial jetliners for decades. Spirit Commercial’s core products include fuselages, pylons, nacelles and wing components, with a focus on innovative composite and aluminium manufacturing solutions.
Responsibilities
Position Responsibilities:
- Own end‑to‑end delivery of AI initiatives, from early scoping and prioritization through production launch and post‑launch evaluation.
- Establish delivery standards, operating rhythms, and performance measures that improve predictability and reduce project risk.
- Partner with enterprise architecture, engineering, and security to drive architectural decisions and define practical, scalable implementation approaches for AI solutions.
- Lead cross‑functional alignment with business stakeholders, data science, engineering, infrastructure, and security; translate requirements across teams without loss of clarity or intent.
- Conduct discovery with business partners to assess feasibility, define priorities, establish measurable success criteria, and set clear expectations before development begins.
- Assess when AI is and isn’t the right solution and communicate rationale effectively across all stakeholder levels.
- Build and maintain delivery plans that account for data readiness, model performance constraints, integration complexity, and other sources of AI‑specific uncertainty.
- Surface risks early, manage trade‑offs, and drive decisions when technical realities and business needs are misaligned.
- Monitor post‑launch outcomes, validate that solutions deliver intended value, and guide iteration where needed.
- Lead and develop AI delivery resources, providing direction, coaching, and accountability to ensure high‑quality execution.
Qualifications
Basic Qualifications (Required Skills/Experience):
- Bachelor's Degree in Statistics, Mathematics, Computer Science, or another related field of study
- 6-9 years’ related experience with a Bachelor’s, 4-7 years’ related experience with a Masters
- Experience leading delivery of complex technology, data, analytics, or AI initiatives from requirements through production deployment
- Demonstrated experience delivering AI or ML‑enabled products or programs in a cross‑functional environment
- Proven ability to manage scope, dependencies, risks, budgets, and executive expectations across multiple concurrent initiatives
- Experience with cloud‑based data and AI platforms (e.g., Azure, AWS)
- Strong ability to build credibility and communicate effectively with technical and non‑technical stakeholders
- Comfortable operating in ambiguity and capable of moving work forward without complete information
- Clear, concise communicator in written and verbal settings
Preferred Qualifications (Desired Skills/Experience):
- Experience in Manufacturing
- Familiarity with the AI/ML development lifecycle, experimentation workflows, and model deployment patterns
- Exposure to Responsible AI principles, including fairness, explainability, risk mitigation, and monitoring for drift
Union:
This is a union-represented position.
Drug Free Workplace:
We are 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:
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.
We also provide 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 - Senior Level (Level 4): $114,850 - $176,050
Kansas Tax Credit: Join Spirit AeroSystems’ Kansas team and you may be eligible for a $5,000 state of Kansas Aviation tax credit for up to five years. Click here for more information on the tax credit.
Basic Qualifications (Required Skills/Experience):
- Bachelor's Degree in Statistics, Mathematics, Computer Science, or another related field of study
- 6-9 years’ related experience with a Bachelor’s, 4-7 years’ related experience with a Masters
- Experience leading delivery of complex technology, data, analytics, or AI initiatives from requirements through production deployment
- Demonstrated experience delivering AI or ML‑enabled products or programs in a cross‑functional environment
- Proven ability to manage scope, dependencies, risks, budgets, and executive expectations across multiple concurrent initiatives
- Experience with cloud‑based data and AI platforms (e.g., Azure, AWS)
- Strong ability to build credibility and communicate effectively with technical and non‑technical stakeholders
- Comfortable operating in ambiguity and capable of moving work forward without complete information
- Clear, concise communicator in written and verbal settings
Preferred Qualifications (Desired Skills/Experience):
- Experience in Manufacturing
- Familiarity with the AI/ML development lifecycle, experimentation workflows, and model deployment patterns
- Exposure to Responsible AI principles, including fairness, explainability, risk mitigation, and monitoring for drift
Union:
This is a union-represented position.
Drug Free Workplace:
We are 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:
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.
We also provide 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 - Senior Level (Level 4): $114,850 - $176,050
Kansas Tax Credit: Join Spirit AeroSystems’ Kansas team and you may be eligible for a $5,000 state of Kansas Aviation tax credit for up to five years. Click here for more information on the tax credit.
Position Responsibilities:
- Own end‑to‑end delivery of AI initiatives, from early scoping and prioritization through production launch and post‑launch evaluation.
- Establish delivery standards, operating rhythms, and performance measures that improve predictability and reduce project risk.
- Partner with enterprise architecture, engineering, and security to drive architectural decisions and define practical, scalable implementation approaches for AI solutions.
- Lead cross‑functional alignment with business stakeholders, data science, engineering, infrastructure, and security; translate requirements across teams without loss of clarity or intent.
- Conduct discovery with business partners to assess feasibility, define priorities, establish measurable success criteria, and set clear expectations before development begins.
- Assess when AI is and isn’t the right solution and communicate rationale effectively across all stakeholder levels.
- Build and maintain delivery plans that account for data readiness, model performance constraints, integration complexity, and other sources of AI‑specific uncertainty.
- Surface risks early, manage trade‑offs, and drive decisions when technical realities and business needs are misaligned.
- Monitor post‑launch outcomes, validate that solutions deliver intended value, and guide iteration where needed.
- Lead and develop AI delivery resources, providing direction, coaching, and accountability to ensure high‑quality execution.