Teams at Landing

Work with internal and external stakeholders to identify high-impact problems, collect and analyze data, rapidly prototype AI-driven solutions into demos, and partner with engineering to productionize automated systems that improve over time.

Own and improve dbt models, ELT pipelines, and warehouse architecture (Snowflake or equivalent) to deliver reliable executive KPIs and metric governance. Build data spine for Finance/Operations, enforce data quality/testing, partner cross-functionally with Engineering, FP&A, and Accounting, and influence analytics engineering standards, tooling, and roadmap.