Define and lead the product data strategy, anchored in key business and product decisions
Own the telemetry platform strategy, including event pipeline design into the Databricks lakehouse
Establish instrumentation standards (event schemas, naming, versioning) across product teams
Design and deliver governed product data products (datasets, metrics, dashboards)
Build shared data models to unify product usage across a multi-product portfolio
Enable customer-facing insights and usage transparency as part of the product experience
Evaluate and implement product analytics tooling aligned to platform and governance standards
Partner with Data Engineering and Analytics on pipelines, data contracts, and consumption
Work closely with Product teams to define success metrics and measurement frameworks
Deliver actionable insights linking product usage to business and learner outcomes
Enable self-service through shared metrics, documentation, and dashboards
Build and scale a small, high-impact product data team

5+ years in product data, product analytics, or analytics engineering in a SaaS/tech environment
Experience defining product instrumentation and telemetry architecture at scale
Experience building or owning event pipelines (first-party telemetry preferred)
Strong partnership with Product and Engineering on metrics and measurement
Experience creating governed, reusable data assets from product data
Hands-on experience with modern data platforms (e.g., Databricks, Snowflake)
Strong SQL and Python skills across data pipelines and analysis
Experience leading small, high-performing teams
Strong communication skills and ability to influence across technical and business stakeholders

VP, Product Data

Key skills