Owns end-to-end delivery of AI agents for embedded functions, driving business impact.
•This role is responsible for the end-to-end delivery of AI agents for the embedded function, ensuring measurable business impact and raising the team's execution standard for AI capabilities.
•Key Responsibilities Ship AI agents to production, identifying high-friction workflows and iterating through testing to achieve stable deployment.
•Build a self-serve operations model with end-to-end documentation for each shipped agent.
•Produce a prioritized opportunity backlog by conducting discovery sessions with stakeholders.
•Continuously monitor agent performance and implement documented improvements for reliability and adoption.
•Requirements Proven experience in SQL and data modeling, with AI acceleration.
•Demonstrated experience with Python for building AI-powered data workflows.
•Track record of building data pipelines spec-first, with AI as the primary execution layer.
•Experienced with ELT/ETL tools and AI orchestration (e.g., dbt, Airflow).
•Proven experience with data warehouses and AI-native querying (e.g., BigQuery, Snowflake).