VP, Product Analytics

About the Role

We are seeking a dynamic VP of Product Analytics to spearhead our Product Analytics function and develop an AI-driven analytics operating system for our diverse financial products including cryptocurrencies, stocks, prediction markets, perpetual contracts, and stock futures. This leadership position combines executive oversight with hands-on technical involvement to guide strategic and tactical analytics operations across the company.

Key Responsibilities

• Define and implement the vision, operating model, and quality standards for the Product Analytics discipline.
• Build, lead, and mentor a high-performing team of analytics professionals.
• Review and provide expert guidance on SQL queries, data models, pipelines, metric definitions, and analytical methodologies.
• Represent the Product Analytics function in strategic product and executive decisions.
• Prioritize team efforts to focus on initiatives with the highest business impact.
• Design and evolve an AI-native analytics system covering the entire analytics workflow—from inquiry to decision-making—incorporating automation to enhance quality, speed, and consistency.
• Establish governance frameworks, validation processes, and human oversight for critical business decisions derived from analytics.
• Develop trusted KPIs, source-of-truth metrics, dashboards, and facilitate executive business reviews.
• Collaborate with cross-functional partners including Product, Engineering, Data, CRM, and Growth teams to align definitions and analytics priorities.
• Promote a culture of experimentation by embedding robust standards for hypothesis generation, experiment design, causal inference, and rollout decisions.
• Leverage AI and automation to streamline experiment workflows while maintaining high analytical standards.
• Manage the Amplitude data infrastructure, overseeing instrumentation strategies, event taxonomy, data governance, and integration with data warehouses.
• Ensure analytic models and pipelines maintain traceability, reproducibility, and accuracy as products evolve.
• Lead in-depth diagnostic analytics on user activation, conversion, retention, behavior, market liquidity, trading performance, and product health.
• Define measurement frameworks and evaluate major product launches with clear success criteria and post-launch analyses.
• Translate complex analytics into actionable business and product recommendations.

Success Criteria

• Consistent use of trusted product and business metrics by leadership.
• A clearly prioritized Product Analytics team producing high-quality output according to strong technical standards.
• Significant efficiency and quality gains through AI-enabled analytics workflows.
• Widespread adoption of experimentation and evidence-driven product decision-making.
• Reliable, governed Amplitude instrumentation and taxonomy.
• Rigorous success evaluation and measurement of key product launches.
• Analyses that directly inform impactful product and operational decisions.

Candidate Profile & Qualifications

• Extensive leadership experience in Product Analytics within complex, fast-paced environments.
• Advanced hands-on skills in SQL and modern data platforms like Databricks.
• Proven expertise in applying AI to transform analytics operations at the system level.
• Ability to architect AI-based workflows, validation mechanisms, and knowledge management systems in analytics.
• Prior ownership of product analytics platforms, with a strong preference for candidates experienced with Amplitude.
• Deep understanding of experimentation design, causal inference, product metrics, and diagnostic analyses.
• Capability to structure ambiguous business questions into rigorous analysis and decisive recommendations.
• Exceptional product insight, leadership acumen, and executive communication skills.

Preferred Background

• Experience in consumer fintech, trading platforms, marketplaces, or other high-transaction domains.
• Familiarity with exchange operations, market liquidity, and multi-asset product environments.
• Track record in spearheading organization-wide adoption of transformative analytics technologies and methodologies.

Additional Information

Our recruitment process utilizes AI tools to assist in analyzing resumes against this role's specific requirements. These tools provide recommendations to our hiring teams but do not replace human judgment. Final hiring decisions integrate insights from these tools alongside broader candidate evaluations.