Senior Data Leader

Analytics, Product & Business Insights:

• Set the company-wide strategy for product analytics, business metrics, and GTM insights
• Define the core measurement frameworks for product usage, activation, retention, expansion, and customer value
• Ensure analytics meaningfully influence product roadmap decisions, GTM strategy, and operational planning

Data Engineering Leadership:

• Lead the data engineering strategy in close partnership with data engineers
• Set expectations and priorities for how data engineering supports analytics, product insights, and ML use casesAct as the primary stakeholder for analytics requirements, guiding architectural decisions without owning day-to-day pipeline development
• Act as the primary stakeholder for analytics requirements, guiding architectural decisions without owning day-to-day pipeline development

Customer-Facing Data Products & ML:

• Own the vision and prioritization for customer-facing analytics and insight products (benchmarks, insight cards, modeled datasets, ML/AI features)
• Partner with Product and Engineering to ensure these capabilities drive differentiation and customer value
• Balance experimentation and innovation with the delivery of durable, scalable data products