Build and operate production data pipelines and dimensional data models using Spark and SparkSQL. Own pipelines from requirements through deployment, monitoring, and iteration; improve data quality, lineage, reliability, and cost efficiency. Partner with data scientists, analysts, product managers, and engineers to support datamarts, KPIs, reporting, and analysis. Participate in a business-hours on-call rotation and contribute to runbooks and alerting.

Serve as a strategic FP&A partner to Product leadership, building financial models, business cases, forecasts, and scenario analyses. Evaluate growth initiatives, pricing, investments, and resource allocation while translating SaaS metrics and complex data into actionable recommendations. Collaborate with Product, Finance, Data Science, and Marketing teams, and improve analysis through automation, standardized processes, and AI-enabled workflows.

Own go-to-market readiness for product launches, pricing and packaging changes, migrations, and other commercial initiatives. Translate product decisions into operational requirements, coordinate cross-functional dependencies, validate end-to-end customer and seller workflows, manage launch risks, and improve readiness processes through reusable frameworks and automation.