The Boeing Company
MidLevelProductSpecialist
“Mid-Level Product Specialist at The Boeing Company. Skills: AI, Analytics, Product Management, Data. Gather business challenges. Document business objectives”
What You'll Achieve.
Demonstrate measurable value; Quantify business value
Industry & Context.
Analyze stakeholder input; Analyze data; Define scope; Define outcomes
U. S. Person required, Relocation offered
What They're Looking For.
Must Have
4+ years business analysis, 2+ years data/analytics/AI/ML product work, Supply chain/manufacturing/logistics stakeholder experience, Business/functional requirements, User stories, Acceptance criteria, SQL skills, Data concepts familiarity, Stakeholder-facing materials, Demo delivery
Nice to Have
Bachelor's degree, Master's degree, 5+ years AI/analytics product delivery, BI/visualization tools experience, Cloud data platforms experience, Azure DevOps/Jira experience, ML/data science team experience, MLOps concepts understanding, Discovery workshops experience, Scoping POCs experience, Outcome reports experience, Stakeholder management skills, Facilitation skills, Prioritization skills, Helpdesk/operations reporting experience, Analytics operations support experience
What You'll Do.
Gather business challenges
Document business objectives
Document success criteria
Analyze stakeholder input
Define AI/analytics initiative scope
Define AI/analytics initiative outcomes
Support discovery workshops
Organize discovery workshops
Define required actions
Define value propositions
Define team responsibilities
Maintain team alignment
Maintain clear communication
Create product artifacts
Maintain product artifacts
Create project charters
Maintain project charters
Maintain user stories
Create acceptance criteria
Maintain acceptance criteria
Create DevOps tickets
Maintain DevOps tickets
Coordinate sprint activities
Support sprint planning
Support demo preparation
Support incremental feature delivery
Prepare stakeholder updates
Present stakeholder updates
Translate analytics outputs
Translate model outputs
Provide business summaries
Provide business recommendations
Track feature success
Produce outcome reports
Quantify business value
Support adoption activities
Develop demo materials
Collect user feedback
How You'll Work.
Team & Collaboration
Cross-functional workstreams; Business stakeholders; Analytics teams; Data engineering teams; Machine Learning teams; Engineering teams; Technical teams; Business teams
Communication Scope
Stakeholder updates; Demos; Business summaries; Business recommendations
Process & Methodology
Roadmaps, User stories, Acceptance criteria, DevOps tickets, Sprint planning, Agile
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