Data Leader — Payment

Skills

About the Role

You will lead the data function for cross-border payment operations, shaping how the business uses data to make decisions and drive growth. You will dive deep into the full business lifecycle of cross-border payment scenarios, from transaction processing and clearing to foreign exchange settlement, risk control, revenue and capital flow, building standardized frameworks and KPI systems that guide core management decisions. You will plan and build out the data warehouse, data middle platform and BI visualization systems, coordinating cross-functional teams to eliminate data silos and create a reusable, business-oriented data ecosystem. You will take full ownership of the BI and Data Engineering teams, setting up workflows, allocating tasks and empowering your people to deliver high-value outcomes. You will also partner closely with business, risk, operations, finance and product teams to build monitoring and early-warning mechanisms, spot growth opportunities and drive efficiency and revenue improvements 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 and payment clearing and settlement overseas compliance and cross-border risk control
• Prior experience in payment industry data team management is highly preferred
• Strong commercial data thinking and business acumen
• Capable of building data analysis frameworks from a business perspective and delivering actionable business optimization solutions
• Proficient in the architectural logic of data platforms data warehouses and data middle platforms
• Comprehensive knowledge of end-to-end data governance procedures
• Capable of independently leading platform planning and implementation
• 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
• 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

Responsibilities

• 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 management decision-making
• 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
• 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 allocate tasks covering data analysis BI visualization development data engineering development and platform operation and maintenance
• Empower team capability improvement and coordinate cross-team collaboration
• Drive the data team to deliver high-value business outcomes and ensure successful delivery of data demands and platform construction projects
• Collaborate with business risk control operation finance and product teams on core data requirements
• Build standardized mechanisms for daily data monitoring early warning and regular business review
• Identify business growth opportunities and operational pain points
• Drive business efficiency improvement and revenue growth through data insights