✦ Luna Orbit — Product Management

Product Owner

at Boeing

📍 USA - Tukwila, WA Unknown 💰 $102K – $127K USD / year Posted April 15, 2026
Salary $102K – $127K USD / year
Type Not Specified
Experience mid
Exp. Years 1+ years
Education Bachelor's degree or equivalent practical experience
Category Product Management

Boeing is hiring a Product Specialist/Product Owner (Level 3 or 4) to drive advanced analytics and AI solutions from concept through deployment. The role bridges technical and business stakeholders, manages requirements and backlog priorities, and ensures adoption via testing, training, and utilization tracking.

  • Translate ambiguous business challenges into well-defined analytics problems
  • Collaborate to document problem statement, use case (user stories), product scope, and definition of done
  • Manage and prioritize backlog of features, data studies, and model refinements
  • Assess, address, and document risks and manage discovery for data viability
  • Lead deployment, coordinate beta/user testing, and drive adoption with training and utilization tracking

You will translate business problems into analytics and AI use cases, manage feature and model refinement backlogs, and lead exploratory data analysis (EDA) through to deployment. The role emphasizes risk and data viability assessment, defining success criteria, and operationalizing solutions for adoption.

The ideal candidate is a Product Owner / Product Specialist with experience owning end-to-end delivery of advanced analytics and AI solutions. They can translate ambiguous business problems into well-defined analytics use cases, manage a backlog of analytics features and model refinements, and lead discovery through deployment while coordinating stakeholder reviews and user testing.

owning end-to-end delivery of advanced analyticstranslate ambiguous business challenges into well-defined analytics problemsdocument problem statementuse case (user stories)product scopeand definition of donemanage and prioritize backlog of featuresdata studiesand model refinementsdevelop realistic project schedulespartner with data owners and SMEs to ensure access to required data setsassessaddressand document risks to mitigate impactmanage initial discovery activities to ensure adequate assessment of data viability prior to committing to full-scale developmentcoordinate beta testinguser testingand define performance criteria for solution acceptancelead deployment of new products and featuresincluding documentation and user trainingdrive adoption of solutions into user's operating rhythmtrack utilizationand iterate on solutions to continuously improve capabilities
exploratory data analysis (EDA)user storiesbeta testinguser testingdocumentation
advanced analyticsdescriptive analyticsdiagnostic analyticspredictive analyticsprescriptive analyticsartificial intelligence solutionsbacklog managementuser storiesexploratory data analysis (EDA)beta testinguser testingdeploymentdocumentationuser trainingadoptionutilization trackingdata-driven decision making
end-to-end delivery of advanced analyticsdescriptive analyticsdiagnostic analyticspredictive analyticsprescriptive analyticsartificial intelligence solutionsanalyzing needsscoping requirementspositioning and packaging solutionspromoting adoptiontailoring features for usersmanaging a product backlog of featuresdata studiesmodel refinementsproject schedulinganalysismodelingquality reviewsrisk assessmentdocumentation of risksdiscovery activitiesdata viability assessmentexploratory data analysis (EDA)beta testinguser testingperformance criteria definitiondeployment of new products and featuresdocumentationuser trainingutilization trackingiterate on solutionsdata-driven decision making
interpersonal skillscommunicationorganizational skillsstakeholder collaborationcross-functional collaborationfacilitation of stakeholder reviewsambassador for data-driven decision makingproblem-solvingbreaking down complex situations into actionable stepsproactive blocker removal
Industry Aerospace
Job Function Own end-to-end delivery of advanced analytics and AI products by translating business needs into analytics requirements, managing backlog and deployment, and driving adoption.
Role Subtype Product Owner
Tech Domains AI & Machine Learning, Data & Analytics, Kubernetes, Cloud & Infrastructure, Cybersecurity
Product OwnerProduct Specialistanalytics transformationadvanced analyticsdescriptive analyticsdiagnostic analyticspredictive analyticsprescriptive analyticsartificial intelligence solutionsbridge technical and business teamsend-to-end deliveryuser storiesproduct scopedefinition of donebacklog of featuresmodel refinementsproject schedulesexploratory data analysis (EDA)beta testinguser testingdeploymentuser trainingutilizationdata-driven decision makingU.S. Secret

Must be able to obtain U.S. Secret - Final Post-Start, Must have Bachelor's degree or equivalent practical experience, Must have 1+ years of experience

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