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2026-7-25
Plano, TX
Component Services Program CSP Program Management Specialist Program Management Plano TX Boeing Boeing United States North America Job Description 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. Boeing Global Services (BGS) is looking for a 787 Component Services Program (CSP) Program Management Specialist to join our Component Services Team in
2026-7-22
Marietta, GA
Aviation Safety Risk Leader CSP Pathways Business Operations Marietta GA GEORGIA Corkyy United States 36302977677
2026-7-22
Dallas, TX
Oliver Wyman VECTOR Technical Specialist Lead Specialist Flight Operations Business Operations Dallas TX TEXAS Mercer France United States 36309910171
2026-7-22
Seattle, WA
Oliver Wyman VECTOR Technical Specialist Lead Specialist Flight Operations Business Operations Seattle WA WASHINGTON Mercer France United States 36309940981
2026-7-22
Oklahoma City, OK
lls/Experience): Experience using Boeing web-based Information Systems such as My Boeing Fleet, VECTOR (technical inquiry request system), REDARS, and PSDS Experience teaching peers in a non-classroom setting Previous military experience or extensive familiarity with military operation and maintenance procedures Experience with local customs and practices 3 years’ experience implementing, troubleshooting, and administering software in a Windows desktop environment 3 years’ experience providing basic network support and installing, troubleshooting, and conf
2026-7-22
United States
e, Engineering, Information Systems or related field and/or equivalent formal training Preferred: CSPO/SAFe POPM certification Experience Required: Advanced-level experience, seasoned and specialized knowledge in: Agile and Scrum software development methodologies Business analysis, project management or software development delivering enterprise products and solutions ?? 5-7 years of relevant work-related experience 5 Product ownership for customer-facing journeys: problem framing, backlog, stories, acceptance criteria Experience translating user intent into me
2026-7-8
United States
ployees Leaders Knowledge, Skills and Abilities Expert knowledge of embeddings, retrievers, and VECTOR DBs (e.g. pgvector, OpenSearch k-NN); relevance tuning and evals. Expert knowledge of LLMs and agentic infrastructure such as LangGraph, AWS Bedrock (Agents/Guardrails) or other agentic frameworks. Expert knowledge of the full AWS stack (Bedrock, SageMaker, Lambda, S3, Redshift, VPC) and enterprise data platforms Ability to advise on translating user journeys into measurable agent behaviors; guide creation of clear design docs and runbooks. Expert experience imple
2026-7-22
United States
iseGenBI, conversational analytics, or AI-enabled analytics in production Databricks, QuickSight, VECTOR databases, or AI/ML analytics platforms KPI governance, business metric definitions, and analytical frameworks Presenting insights and recommendations to executive and senior leadership audiences Mentoring Business Data Analysts and building analytical talent Python and data pipeline development for analytical solutions Working across globally distributed analytics and engineering teams Other Required Experience Must meet confidentiality expectations as
2026-7-8
United States
sary initiatives Databricks, Snowflake, or comparable modern analytics data platform experience VECTOR databases or embeddings pipelines supporting AI-enabled analytics Delivering analytical data solutions in Agile environments alongside Business Data Analysts and AI Engineers Working across enterprise business domains (Customer, Commercial, Marketing, Brand, Servicing) Data platforms serving Analytics, ML, and AI workloads within a large enterprise Working across globally distributed analytics and engineering teams Other Required Experience Must meet confi
2026-7-8
United States
experience. Preferred: Production AI on AWS Bedrock or SageMaker — model hosting, embeddings, VECTOR DBs Agentic frameworks (LangChain, LangGraph, CrewAI) in a support or reliability context L3 enhancements measured by MTTR reduction, SLA attainment, or ticket deflection L1/L2/L3 operating models, runbooks, and 24/7 on-call across a global team Multi-region DR and chaos engineering for cloud-native workloads FinOps for AI inference (GPU utilization, batching, quotas) Model retraining loops and feedback pipelines in production Cross-functional partnership wi
2026-7-8
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2026-7-25
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