Operations Analyst, Reliability (Starship)
Core
Develop and maintain data-driven tooling and infrastructure to guide decisions, focusing on identifying AI opportunities, defining and leading AI-driven solutions for predictive analytics, automation, and risk mitigation to reduce build failures and boost vehicle performance.
Role type
Reliability Analyst (AI & Data Infrastructure)
Builds
Data-driven tools, dashboards, and AI workflows for build-to-flight reliability
Domain
Aerospace manufacturing / Reliability Engineering
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
Predictive modeling, anomaly detection, LLM prompt engineering, generative AI workflows, dashboard design, data pipeline optimization, SQL, Python, C++, Tableau, PowerBI
Preferred skills
Manufacturing environment experience, factory/production environment experience
Technologies
Grafana, PowerBI, Tableau, SQL, Python, C++, LLMs, ETL
Responsibilities
Identify opportunities in reliability processes (e.g., predictive modeling, anomaly detection); define problems, develop prompts/workflows using LLMs or generative AI, evaluate outputs, monitor performance, provide go-live support, and create operational protocols; Design, implement, and maintain dashboards for monitoring build metrics (defect rates, tolerances, nonconformances) and flight indicators; Maintain and optimize dashboards and tools for ongoing accuracy and usability; Improve data infrastructure (pipelines, ETL, schemas) for scalability, integrity, and real-time use; Develop/track KPIs for build health and flight risk; Analyze datasets to find root causes of anomalies, correlate build/flight data, and recommend solutions; Collaborate with production, design, reliability, and software teams to define data requirements and develop automation scripts; Create ad-hoc queries, reports, and simulations; Standardize data capture for manufacturing processes; Train users/leaders on tools, data interpretation, AI workflows, and best practices.
Seniority
Individual Contributor (1+ years experience)
