Manager/ Senior Manager, Finance Analytics & AI

The Manager of Analytics Engineering in Data & AI Foundations leads a team responsible for building and maintaining scalable data pipelines and analytics infrastructure. This role involves driving data modeling, ETL processes, and ensuring data quality to support business intelligence and AI initiatives.

The role is responsible for managing the central data platform, focusing on Databricks, analytics, and AI use cases. It involves gathering and prioritizing business requirements to ensure the platform meets organizational needs.

This role manages the intake and validation of data from various sources, ensuring accuracy and completeness for downstream use. The specialist troubleshoots data issues, coordinates with internal teams and external vendors, and maintains documentation to support data governance and quality standards.

This product data scientist drives data science across under-18 audiences, family experiences, and learning/education products at OpenAI. The role involves shaping strategy, defining success metrics, analyzing user journeys and funnels, and designing experiments to evaluate product changes. Requires a record of influencing product strategy through rigorous measurement and causal analysis.

This Senior Project Manager leads complex migration projects for Snowflake customers, acting as the Project Lead for strategic accounts. The role involves owning project governance, leading data migration and code conversion efforts, driving scope clarity, and proactively mitigating risks to ensure on-time, on-budget delivery and high customer satisfaction.

This Principal Engineer builds the configuration, feature-flagging, and experimentation infrastructure for Snowflake. The role involves architecting scalable distributed services, implementing automated validation and progressive rollouts, and embedding AI-powered capabilities for configuration discovery and risk assessment.

This role owns the strategy, growth, and P&L for Streamlit in Snowflake, transitioning it from open-source momentum to an enterprise business. The product manager will define the mission for making Streamlit the gold standard for enterprise data applications, drive growth with Sales and Marketing, and partner with the Cortex AI team to integrate LLMs and agentic workflows.