VP, Product Analytics

Crypto.com

. Set the vision, priorities, operating model, and quality standards for Product Analytics .

Posted 10/5/2026full-timeSingapore • SingaporeLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading Product Analytics teams, with a strong focus on AI-enabled workflows, advanced SQL, and ownership of analytics platforms like Amplitude. Capable of translating complex business questions into actionable insights and fostering collaboration across multiple functions.

Highest-signal resume keywords

Product Analytics LeadershipAdvanced SQLAmplitude Data Stack OwnershipAI-Enabled Workflow DesignExperimentation and Causal Inference

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ModelingMetric DefinitionAnalytical MethodologyDiagnostic AnalysisExperiment DesignCausal InterpretationKPI EstablishmentData Quality GovernanceAnalytics Knowledge Systems

Soft Skills

People LeadershipExecutive CommunicationProduct Judgment

Tools & Technologies

AmplitudeDatabricksAI Tools

Industry Keywords

Consumer FintechMarket LiquidityTrading Execution PerformanceTransaction-Heavy ProductsExchange Mechanics

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Set the vision, priorities, operating model, and quality standards for Product Analytics
Hire, coach, and develop a high-performing team
Review analytical and data-engineering PRs, guiding SQL, data models, pipelines, metric definitions, and methodology
Represent Product Analytics in executive and product decision-making
Allocate team capacity toward the company’s highest-impact opportunities
Design how analytics work moves from business questions to trusted decisions across intake, data discovery, analysis, validation, reporting, and knowledge management
Build reusable AI tools to automate repetitive workflows and improve delivery speed, quality, and consistency
Establish governance, validation, and human review for high-stakes decisions
Measure the analytics system’s impact on turnaround time, quality, experimentation throughput, and team capacity
Establish trusted KPIs, source-of-truth metrics, dashboards, and executive business reviews
Partner with Product, Engineering, Data, CRM, Growth, and other functions
Establish experimentation standards covering hypotheses, success metrics, guardrails, experiment design, causal interpretation, and rollout decisions
Own the Amplitude data stack, including instrumentation strategy, event taxonomy, governance, data quality, and warehouse integration
Set standards for product instrumentation, analytical models, and pipelines
Lead diagnostic analyses of activation, conversion, retention, user behavior, market liquidity, trading execution performance, and product health
Define measurement frameworks and success criteria for major product launches
Oversee post-release evaluations and translate findings into product actions

Requirements

What you’ll need

Proven experience leading Product Analytics teams in a complex, fast-moving organization
Strong hands-on technical judgment, advanced SQL, and experience with modern data platforms such as Databricks
Demonstrated experience using AI to redesign analytics operations—not merely improve individual productivity
Ability to design and implement AI-enabled workflows, reusable agents or tools, validation controls, and analytics knowledge systems
Experience owning a product analytics platform; deep Amplitude experience is strongly preferred
Strong knowledge of experimentation, causal inference, product measurement, and diagnostic analysis
Ability to turn ambiguous business questions into rigorous analysis and clear decisions
Strong product judgment, people leadership, and executive communication skills
Preferred: Consumer fintech, trading, marketplaces, or other transaction-heavy products
Preferred: Exchange mechanics, market liquidity, and experience with multi-asset products
Preferred: Leading company-wide adoption of new analytics technologies and ways of working