Head of Data & AI Enablement

Data Strategy & Infrastructure:

• Develop a clear, actionable data strategy and get buy-in across leadership.
• Architect and scale our data platform end-to-end with a modern, layered approach.
• Ensure data is synchronized, consistent, and reliable across all internal systems.

Balancing Product & Internal Data Needs:

• Navigate the tension between building data capabilities for customer-facing products and investing in internal analytics and infrastructure.
• Understand the product development cycle well enough to anticipate data needs.
• Proactively plan data collection and instrumentation for upcoming product features.

AI Collaboration:

• Ensure the right data is available, clean, and structured for engineering teams to build AI features.
• Bring hands-on experience with LLMs and AI agents to help influence the company's AI strategy.
• Stay close to the evolving AI landscape to be a credible thought partner.

Analytics & Insights:

• Build the analytics foundation to enable faster, better decisions.
• Partner with go-to-market, product, and finance teams to deliver the data and reporting they need.
• Develop internal dashboards, self-serve tools, and reporting capabilities that scale with the company.