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 a Mid-Level Product Specialist to join the team in Seattle, WA; Berkeley, MO; Hazelwood, MO; or Dallas, TX.  

We are hiring an experienced Artificial Intelligence (AI) & Analytics Product Specialist to join the Enterprise AI & Data team supporting Boeing Global Services (BGS) Government Supply Chain AI & Analytics. This is an execution-focused product role that partners closely with business stakeholders, analytics, data engineering, and Machine Learning (ML) teams to translate business needs into scoped AI/analytics solutions, support delivery of Proof Of Concepts (POCs) and pilots, and ensure solutions demonstrate measurable value. The role emphasizes delivering outcomes, coordinating cross-functional workstreams, and enabling adoption rather than owning large programs end-to-end.

Position Responsibilities:

• Work with Analytics Engagement and Business leads to gather and document business challenges, objectives, and success criteria

• Analyze stakeholder input and data to help define the scope and expected outcomes of AI/analytics initiatives

• Support and help organize discovery and execution workshops to define 6–12-week POC scopes, key insights, required actions, and value propositions

• Assist in defining team roles, responsibilities, timelines, and deliverables; help maintain team alignment and clear communication

• Create and maintain product artifacts: project charters, roadmaps, user stories, acceptance criteria, and Azure Development Operations (DevOps) (or equivalent) tickets

• Coordinate sprint activities with engineering and analytics teams; support sprint planning, demo preparation, and incremental feature delivery

• Prepare and present concise stakeholder updates (progress, demos, risks, next steps) on a regular cadence

• Translate technical analytics and model outputs into business-friendly summaries and recommendations

• Track POC/feature success against defined metrics and help produce concise outcome reports that quantify expected or realized business value

• Support adoption activities: develop demo materials, playbooks, and training for business users; collect user feedback for iteration

Basic Qualifications (Required Skills/Experience):

• 4+ years of experience in business analysis, product support, analytics, and/or related roles

• 2+ years of experience supporting product work related to data, analytics, or AI/ML (scoping POCs, writing requirements, & coordinating delivery)

• Experience working with supply chain, manufacturing, and/or logistics stakeholders

• Experience producing business and functional requirements, user stories, and acceptance criteria

• Experience with SQL skills and familiarity with data concepts (ETL, data models, & data quality)

• Experience creating stakeholder-facing materials and delivering demos

Preferred Qualifications (Desired Skills/Experience):

• Bachelor’s degree in business, Engineering, Computer Science, Data Analytics, Supply Chain Management, or related field

• Master’s degree in a related field or equivalent experience

• Experience with strong written and verbal communication skills with the ability to collaborate across technical and business teams.

• 5+ years of experience with AI/analytics product delivery contributions

• Experience with BI/visualization tools (Tableau, Spotfire, Power BI)

• Experience with cloud data platforms (AWS, GCP, Azure)

• Experience with Azure DevOps, Jira, and/or similar delivery tooling

• Experience working with ML and/or data science teams understanding model lifecycle, validation, and basic Machine Learning Operations (MLOps) concepts

• Experience running discovery workshops, scoping POCs, and producing concise business outcome reports

• Experience with stakeholder management, facilitation, and prioritization skills

• Experience with helpdesk/operations reporting and/or supporting analytics operations

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 spanet and business considerations.

Summary pay range: $105,400 - $152,950

Applications for this position will be accepted until Jun. 15, 2026

Export Control Requirements:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. 120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Export Control Details:

US based job, US Person required

Relocation

This position offers relocation based on candidate eligibility.

Visa Sponsorship

Employer will not 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.