Mid-Level Product Specialist

Boeing•Berkeley, MO

3d•$105,400 - $152,950•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

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

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