- Manage and develop a team of data scientists.
- Architect and maintain UA data pipelines (BigQuery, dbt, Jenkins).
- Define and standardize core metrics such as LTV, CAC, and retention.
- Develop self-service data products and AI-powered internal tooling.
- Partner with product and growth teams to drive experimentation and instrumentation strategies.
- Oversee data governance and semantic layer development.
- Champion AI adoption across the organization.