Data Leader - Payment

Coins.ph; Hong Kong; On-site; HKD 378,000 - 756,000; Full time

Job summary

Coins.ph is seeking a senior data leader to drive business data strategy across cross-border payments. You will oversee data governance, BI platform planning, and team leadership to deliver high-value data insights.

The role focuses on building standardized data systems, cross-functional collaboration, and scalable data solutions to empower decision-making, risk management, and revenue growth.

Qualifications

• 8+ years in data analysis and data management within fintech or cross-border payments.
• Strong commercial data thinking and business acumen for building analysis frameworks.
• Proficient in data platform architecture with end-to-end governance knowledge.
• Experience leading BI and Data Engineering teams (2+ years).

Responsibilities

• Perform in-depth analysis of cross-border payment data lifecycle and KPI frameworks.
• Lead planning and implementation of data warehouse, data middle platform and BI visualization platforms.
• Manage BI and Data Engineering teams, define workflows and coordinate cross-team delivery.
• Collaborate with business, risk control, operations, finance and product to monitor data and drive growth.

Skills

Data Strategy

BI Leadership

Data Governance

SQL

BI Visualization

Cross-Functional

Education

Statistics

Computer Science

Finance

Tools

Data Warehouse

BI Tools

Data Visualization

Job description

Join the Pioneer Crypto Brand in the Philippines!

Coins is the most established crypto brand in The Philippines and has gained the trust of more than 18 million users. Through the easy-to-use mobile app, users can buy and sell a variety of different cryptocurrencies and access a wide range of financial services.

Coins is fully regulated by the Bangko Sentral ng Pilipinas (BSP) and is the first ever crypto-based company in Asia to hold both Virtual Currency and Electronic Money Issuer licenses from a central bank.

Responsibilities

• Business Data-Driven Strategy: Conduct in-depth analysis of the full business lifecycle of cross-border payment scenarios, including transaction processing, clearing, foreign exchange settlement, risk control, revenue generation and capital flow. Establish standardized data analysis frameworks and KPI indicator systems. Deliver in-depth business reviews, growth optimization strategies and risk assessment analyses to support core management decision-making
• Data Platform Planning & Construction: Lead the overall planning and implementation of data warehouse, data middle platform and BI visualization platforms. Coordinate cross-functional business and technical resources, oversee full-cycle data governance, including unified data caliber, standardized data layering and hierarchical permission system construction. Eliminate data silos and build a reusable, business-oriented data system
• Team Leadership & Management: Take full charge of the management of the BI team and Data Engineering team. Establish standardized team workflows and collaboration mechanisms, decompose business objectives, and reasonably allocate tasks covering data analysis, BI visualization development, data engineering development and platform operation & maintenance. Empower team capability improvement, coordinate cross-team collaboration, drive the data team to deliver high-value business outcomes, and ensure the successful delivery of data demands and platform construction projects
• Digital Business Empowerment: Collaborate closely with business, risk control, operation, finance and product teams to undertake core data requirements. Build standardized mechanisms for daily data monitoring, early warning and regular business review. Identify business growth opportunities and operational pain points, and drive business efficiency improvement and revenue growth through data insights

Requirements

• Minimum 8 years of experience in data analysis and data management within cross-border payment or fintech industries. Solid understanding of core cross-border business logic including cross-border collection & payment, clearing & settlement, overseas compliance and cross-border risk control. Prior experience in payment industry data team management is highly preferred
• Possess strong commercial data thinking and business acumen. Capable of building data analysis frameworks from a business perspective, dissecting core business challenges independently, and delivering actionable special analysis and business optimization solutions
• Proficient in the architectural logic of data platforms, data warehouses and data middle platforms, with comprehensive knowledge of end-to-end data governance procedures. Capable of independently leading platform planning and implementation. No hands-on coding development required; competent in managing and coordinating technical teams to complete project delivery
• Minimum 2 years of data team management experience, with proven track record of leading BI and Data Engineering teams. Skilled in objective decomposition, process optimization, team cultivation and cross-departmental collaboration, with strong stress resistance and outstanding business insight
• Proficient in SQL, data analysis tools and BI visualization tools. Bachelor's degree or above in Statistics, Computer Science, Finance, Data Analysis or related majors is preferred

Meaningful Collaborations - The successful candidate will work cross-functionally with other relevant teams to carry out implementations that will improve and create an impact on customer experience.

Scalable Growth - Be part of a fast-growing organization with the vision to expand its territories outside APAC which will provide opportunities for career advancement.

A Space For Bright Ideas - Let your bright ideas be converted into meaningful changes! Coins culture welcomes new ideas backed up in data to create an impact.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.