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खोलें
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VP of Product Analytics at Crypto.com, Hong Kong Hybrid
Lead AI-native product analytics across crypto, stocks, prediction markets, and perpetuals. Shape experimentation, reporting, data quality, and product decisions for a trading platform.
विवरण
- Define the vision, priorities, operating model, and quality standards for Product Analytics.
- Recruit, coach, and develop a high-performing analytics team.
- Review analytics and data-engineering pull requests, providing direction on SQL, data models, pipelines, metric definitions, and methodology.
- Represent Product Analytics in executive discussions and product decisions.
- Direct team capacity toward the company’s highest-impact opportunities.
- Design the workflow that turns business questions into trusted decisions, covering intake, data discovery, analysis, validation, reporting, and knowledge management.
- Develop reusable AI tools that automate repetitive work and improve delivery speed, quality, and consistency.
- Set governance, validation, and human-review practices for high-stakes decisions.
- Track the system’s effect on turnaround time, analytical quality, experimentation throughput, and team capacity.
- Define trusted KPIs, source-of-truth metrics, dashboards, and executive business reviews.
- Collaborate with Product, Engineering, Data, CRM, Growth, and other teams to align definitions, priorities, and business interpretation.
- Set experimentation standards covering hypotheses, success metrics, guardrails, design, causal interpretation, and rollout decisions.
- Apply AI and automation to improve experiment intake, validation, analysis, and readouts.
- Own the Amplitude data stack, including instrumentation strategy, event taxonomy, governance, data quality, and warehouse-reporting integration.
- Ensure releases are reliably measurable and that analytical models and pipelines remain traceable, reproducible, and trusted.
- Lead diagnostic analyses of activation, conversion, retention, user behavior, market liquidity, trading execution, and product health.
- Define measurement frameworks and success criteria for major product launches.
- Oversee post-release evaluations that determine whether to iterate, scale, or stop.
- Find root causes, challenge weak hypotheses, and turn findings into recommendations and product actions.
आवश्यकताएँ
- Demonstrated experience leading Product Analytics teams in complex, fast-moving organizations.
- Strong hands-on technical judgment, advanced SQL skills, and experience with modern data platforms such as Databricks.
- Experience using AI to redesign analytics operations, beyond improving 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 expertise is strongly preferred.
- Strong command of experimentation, causal inference, product measurement, and diagnostic analysis.
- Ability to turn ambiguous business questions into rigorous analyses and clear decisions.
- Strong product judgment, people leadership, and executive communication skills.
- Preferred experience in consumer fintech, trading, marketplaces, or other transaction-heavy products.
- Preferred knowledge of exchange mechanics, market liquidity, and multi-asset products.
- Preferred experience leading company-wide adoption of new analytics technologies and working practices.
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