Senior Business Systems Architect
phDataAt phData, a data and AI consultancy, you’ll shape secure, scalable enterprise platforms. Lead architecture across integrations, automation, modernization, and cross-functional initiatives.
Open
Crypto.com is a cryptocurrency and fintech platform focused on making digital assets accessible through one integrated ecosystem. Its products support the buying, selling, and trading of Bitcoin, Ethereum, and more than 350 other cryptocurrencies, with payment options such as EUR transfers, SEPA, and Apple Pay or Google Pay where available. The company also provides portfolio tools through Crypto Basket, on-chain staking, a DeFi Wallet for peer-to-peer transactions, and features designed to help users explore crypto markets and earn rewards. Security, regulatory compliance, and licensed operations are central to its platform as Crypto.com serves a global user base and builds products for the wider adoption of cryptocurrency.
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.
Description
- 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.
Requirements
- 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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