Enterprise AI & Data Product Manager

Randstad Singapore; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

Randstad Singapore seeks a Data Product Manager to own end-to-end data, reporting, and AI/ML product strategy for a global enterprise. You will lead cross-functional teams, translate business needs into technical features, and drive adoption and value tracking across data platforms.

Reporting to the Head of SAP based in Europe, you will shape roadmaps, manage prioritization, and ensure system health while aligning with security and privacy policies across the organization.

Qualifications

• 7+ years of managing technical data products, BI platforms, or AI/ML solutions.
• Industry background in manufacturing, engineering, FMCG is a plus.

Responsibilities

• Define and execute strategic product roadmaps for enterprise data, reporting, and AI/ML solutions.
• Engage with cross-functional stakeholders to gather business needs and translate them into technical features.
• Direct delivery teams through feature prioritization, backlog management, and resource alignment.
• Partner with Data Operations to track solution performance, resolve operational issues, and maintain system health.
• Establish post-deployment adoption metrics to evaluate business value, usage, and opportunities for continuous iteration.
• Lead change management, end-user training, and compliance alignment across security, privacy, and architecture frameworks.

Skills

Data products

Product management

AI

Python

Machine learning

Data science

Data analysis

NLP

PySpark

7+ years experience

Education

7+ years experience in data products

Job description

Randstad Singapore seeks a Data Product Manager to own end-to-end data, reporting, and AI/ML product strategy for a global enterprise. You will lead cross-functional teams, translate business needs into technical features, and drive adoption and value tracking across data platforms.

Reporting to the Head of SAP based in Europe, you will shape roadmaps, manage prioritization, and ensure system health while aligning with security and privacy policies across the organization.