Mid-level Product Specialist

Boeing Boeing · Aerospace · Hazelwood, MO +3

Product Specialist role focused on scoping, supporting delivery of, and demonstrating value for AI/analytics solutions within Boeing Global Services. This role partners with business stakeholders, data engineering, and ML teams to translate business needs into actionable POCs and pilots, emphasizing outcome delivery and adoption.

What you'd actually do

  1. Work with Analytics Engagement and Business leads to gather and document business challenges, objectives, and success criteria
  2. Analyze stakeholder input and data to help define the scope and expected outcomes of AI/analytics initiatives
  3. Support and help organize discovery and execution workshops to define 6–12-week POC scopes, key insights, required actions, and value propositions
  4. Assist in defining team roles, responsibilities, timelines, and deliverables; help maintain team alignment and clear communication
  5. Create and maintain product artifacts: project charters, roadmaps, user stories, acceptance criteria, and Azure Development Operations (DevOps) (or equivalent) tickets

Skills

Required

  • 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 have

  • 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

What the JD emphasized

  • AI/ML (scoping POCs, writing requirements, & coordinating delivery)
  • MLOps concepts

Other signals

  • AI/analytics solutions
  • POCs and pilots
  • measurable value
  • product artifacts
  • MLOps concepts