Senior Data Product Manager at Reap

Singapore, Hong Kong Island, Singapore -

Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

0.0

Posted On

27 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Product Management, Data Analysis, Data Visualization, Data Governance, ETL Processes, AI/ML Concepts, Data Mapping, Standardization, Metadata Management, Cross-Functional Collaboration, Financial Data, Operational Data, Predictive Modeling, SQL, Python, Tableau

Industry

Information Technology & Services

Description

About Reap Reap is a global financial technology company headquartered in Hong Kong with employees across multiple countries. We enable financial connectivity and access for businesses worldwide by combining traditional finance with stablecoins for efficient money movement. Through our stablecoin-powered corporate cards, payments, and expense management tools, we streamline financial operations and help businesses scale. Our APIs enable businesses to integrate stablecoin-enabled finance into their own products and services—from issuing Visa cards to facilitating cross-border payments. Backed by leading investors including Index Ventures and HashKey Capital, Reap is building the future of borderless, stablecoin-enabled finance. Role Overview We are seeking a proactive Senior Data Product Manager to join our team at Reap. This role focuses on driving the development and optimization of data products, with a strong emphasis on finance and operational data. You will work closely with Data, Finance, business teams, and Engineering teams to build scalable, AI-enhanced self-service data solutions that support analytics, forecasting, and cost-saving initiatives. Your expertise in data governance, FX, and predictive modeling will be key to delivering impactful insights and enabling better business decisions. What You'll Do Establish and enforce strong data governance policies, ensuring compliance with PII protection and data privacy standards across all data products. Collaborate with data engineers and analysts to design and build scalable, AI-enhanced self-service data tables that empower end users. Work on data pipelines by deeply understanding their integration purposes, and develop better use cases for analytical data table builds using existing data assets. Apply strong skills in data mapping and standardization to ensure consistent, high-quality data across platforms. Translate finance and operational business needs into clear product requirements for analytics, cost saving, churn prediction, and data usability. Lead development and deployment of data solutions supporting financial reporting, forecasting, operational efficiency, and cost reduction strategies. Leverage FX expertise to integrate foreign exchange data impacts into analytics and decision-making tools. Build and leverage AI agents to develop predictive models such as churn prediction and automate the optimization of data structures for enhanced self-service capabilities, reducing dependency on engineering resources. Prioritize and manage product features that deliver measurable cost savings, enhance customer retention, and improve data accessibility. Ensure ongoing monitoring and auditing of data quality, privacy, and compliance, especially for sensitive financial datasets. Use data-driven insights and product metrics to evaluate and continuously improve AI-powered data products. What We’re Looking For: You have 3+ years of experience as a data product manager or 5+ years as a data analyst. Strong understanding of data architecture, data pipeline design, and ETL processes. Proficiency in data analysis and visualization tools (e.g., SQL, Python, Tableau, Power BI). Experience in defining product requirements and translating business needs into technical specs for data products. Knowledge of AI/ML concepts and experience leveraging AI agents or automation tools to build and optimize data solutions. Familiarity with data governance frameworks, PII compliance, and data privacy regulations. Understanding of finance and operational data domains, including FX. Skills in data mapping, standardization, and metadata management to ensure data consistency and quality. Experience working with cross-functional teams, including data engineering, ML engineers, and analysts. Ability to prioritize features based on business impact and drive measurable cost savings or efficiency gains. Strong communication skills to convey technical concepts and product updates effectively to diverse stakeholders. After submitting your application, please check your inbox for a confirmation email. If you don't see it, kindly check your spam or junk folder and adjust your settings to ensure future communication reaches your inbox. You can follow the steps here.

Responsibilities

The Senior Data Product Manager will drive the development and optimization of data products, focusing on finance and operational data. This role involves collaborating with various teams to build scalable, AI-enhanced self-service data solutions that support analytics and cost-saving initiatives.