You will serve as the technical backbone for the data science team, establishing rigorous statistical and machine learning methodologies. Additionally, you will lead the migration of exploratory notebook-based work into centralized, production-grade data pipelines on GCP.
You will own the end-to-end roadmap and execution for a core data product line, ensuring high data quality and actionable insights for blue-chip clients. You will collaborate closely with engineering on technical architecture and use data metrics to drive product growth and prioritization.
The VP of Engineering will lead and scale the engineering team while remaining hands-on by writing and shipping production code. They are responsible for defining the technical roadmap, refining engineering processes, and overseeing system reliability and security.
Design, develop, and maintain ETL/ELT pipelines across BigQuery, PostgreSQL, and Snowflake to support AI workflows. Establish data contracts, schema standards, and observability strategies to ensure high data quality and reliability.
