VP of Product Data

About the Role

We are looking for a senior Product Data leader to define and drive the product data strategy across a portfolio of SaaS products. This role will be responsible for establishing telemetry standards, building scalable event-driven data architectures, creating governed data products, and enabling data-driven decision-making across Product, Engineering, Customer Success, Sales, and Leadership teams.

You will lead the design of product instrumentation frameworks, develop shared data models, and ensure product usage, engagement, and outcome metrics are trusted, scalable, and actionable. Working closely with Product, Engineering, and Data teams, you will help build a strong foundation for analytics, reporting, and customer-facing insights.

Key Responsibilities

• Define and own the product data strategy across multiple products.
• Lead the design and implementation of telemetry and event-tracking architecture.
• Establish instrumentation standards, event schemas, naming conventions, and governance practices.
• Build and maintain scalable product data products, datasets, and KPI frameworks.
• Develop shared data models for usage, engagement, and outcome measurement.
• Partner with Product and Engineering teams to align measurement frameworks with business objectives.
• Deliver dashboards, insights, and reporting that support strategic decision-making.
• Evaluate and implement appropriate analytics and data platform technologies.
• Ensure data quality, governance, privacy, and compliance standards are maintained.
• Build and mentor a high-performing Product Data team.

Required Experience

• 5+ years in Product Data, Product Analytics, Analytics Engineering, or a related leadership role.
• Strong experience designing telemetry architectures and product instrumentation frameworks.
• Experience building and managing event-driven data pipelines.
• Proven track record partnering with Product and Engineering teams to define metrics and measurement strategies.
• Hands-on experience with modern data platforms such as Databricks, Snowflake, BigQuery, or similar.
• Strong SQL and Python skills.
• Experience creating reusable data assets, analytics solutions, and governed reporting frameworks.
• Leadership experience managing or mentoring technical teams.
• Excellent stakeholder management and communication skills.