Data Product Manager (Platform) – Monee

Monee; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Monee is seeking an experienced Data Product Manager to build and enhance internal data and machine learning platforms that power risk decisioning. You will collaborate with Risk, Data Science, Data Engineering, and Engineering teams to improve feature development, model deployment, and integration into risk workflows.

The role focuses on translating business needs into product requirements, defining roadmaps, and driving end-to-end delivery with cross-functional teams while exploring AI-driven

Qualifications

• Bachelor's degree in a technical field.
• At least 1 year of experience in product management or related roles for technical platforms.
• Experience gathering requirements from business and technical stakeholders.

Responsibilities

• Drive development of internal data/ML platforms for risk decisioning.
• Translate business needs into product requirements with stakeholders.
• Define roadmaps, prioritise initiatives, and drive end-to-end delivery with engineering.
• Improve workflows for feature development, model deployment, and risk integration.
• Identify opportunities to improve usability, automation, and efficiency.
• Explore AI applications to streamline feature generation and platform config.
• Gather user feedback and monitor adoption to continuously improve platform capabilities.

Skills

Cross-functional teams

Analytical thinking

Stakeholder management

Communication

Education

Bachelor's degree

Job description

Experienced (Individual Contributor) Singapore

About Monee

Monee is a leading digital payments and financial services provider in Southeast Asia, with a growing presence in Latin America. Its mission is to better the lives of individuals and businesses in the region with financial services through technology.

Monee delivers a comprehensive range of digital financial products and services, including mobile wallets, payment processing, credit, banking, and insurtech. By leveraging technology and strategic partnerships, Monee aims to drive greater digital financial inclusion, convenience, and accessibility for individuals and small businesses across Southeast Asia and Latin America.

Monee is part of Sea Limited, a global technology company.

About the Team

We are looking for a Data Product Manager to build and enhance internal data and machine learning platforms that power risk decisioning.

You will work closely with Risk, Data Science, Data Engineering, and Engineering teams to improve how data features and machine learning models are developed, managed, deployed, and integrated into risk decisioning workflows. You may also contribute to backend capabilities of our risk platform and explore AI-driven solutions to improve product capabilities and operational efficiency.

Job Description

• Drive the development and enhancement of internal platforms for feature engineering, model management, and risk decisioning.
• Work with business and technical stakeholders to understand needs, identify pain points, and translate them into product requirements.
• Define product roadmaps, prioritise initiatives, and drive end-to-end delivery in collaboration with engineering teams.
• Improve workflows for feature development, model deployment, and integration with risk decisioning systems.
• Identify opportunities to improve platform usability, automation, and operational efficiency.
• Explore AI applications to streamline feature generation, platform configuration, and other data and risk workflows.
• Gather user feedback, monitor product adoption, and continuously improve platform capabilities.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related field.
• Minimum 1 year of experience in Product Management, Business Analysis, or a related role involving technical products or internal platforms.
• Experience working with cross-functional teams to define requirements and deliver technical products or platform capabilities.
• Strong analytical and problem-solving skills, with the ability to translate business and technical needs into actionable product requirements.
• Good understanding of data workflows, machine learning, backend systems, or platform products.
• Strong communication, stakeholder management, and project coordination skills.
• Proactive, adaptable, and comfortable working with complex technical topics and multiple stakeholders.

Preferred Qualifications

• Experience with data platforms, machine learning platforms, feature engineering, or MLOps.
• Experience in fintech, financial services, credit risk, or other data-intensive environments.
• Experience applying AI or LLMs to product development, workflow automation, or operational efficiency.