Own and scale ReadyOn's data platform: design/build real-time and batch pipelines, implement ingestion and transformation workflows, model schemas in Snowflake and PostgreSQL, ensure observability and data quality, build connectors and feature-store roadmap, and provide technical leadership and mentorship across data, AI, and backend teams.

Design, build, and productionize time-series forecasting models and pipelines (statistical and ML/deep-learning) to predict workforce and business metrics. Partner with product and engineering to deploy, monitor, retrain, and explain models; measure business impact and mentor junior data scientists.