- Design, build, and debug high-impact pipelines connecting business systems, including CRM, billing, and internal platforms, to the Snowflake warehouse in both directions.
- Own data strategy and architecture across a multi-year horizon while maintaining hands-on familiarity with systems and their edge cases.
- Establish standards for pipeline design, data modeling, and data quality, and personally build and ship high-risk or ambiguous work.
- Build and lead a growing Data organization of 5+ across Data Engineering, ML Engineering, and Analytics.
- Own headcount planning, hiring strategy, and budget for the Data organization.
- Partner with the Chief Product and Technology Officer and cross-functional leaders to translate company strategy into data contracts and platform investments.
- Audit existing integrations and automations and determine what to replace and how to prioritize that work.
- Enable AI and automation company-wide by ensuring agents and LLM use cases are built on a trusted data foundation, and build select enablement capabilities hands-on.
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