Data Product Manager, Risk & ML Platform

Monee; Singapore; Sur place; SGD 70 000 - 110 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Cross-functional teams

Analytical thinking

Stakeholder management

Communication

Formation

Bachelor's degree

Description du poste

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