Senior Data Mesh Product Manager

GRABTAXI HOLDINGS PTE. LTD.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

GrabFlex benefits

Parental leave

Birthday leave

LASA volunteering leave

Grabber Assistance Programme

Flexible hours

Job summary

Grab's Data Platform team is building the data foundation that powers Grab's business in Singapore. This Data Product Manager role is onsite at Grab's headquarters, reporting to the Head of Product, Data and AI Platforms.

You will steer the Data Mesh, define core data models, and drive adoption of data tools across engineers, analysts and ML teams. You will set standards for data products, own data quality, governance, and the data catalog while enabling teams to work smarter and faster with

Qualifications

• 6+ years in technical product management, including 2+ owning data platforms.
• Data Mesh or shared enterprise data models across teams.
• Strong understanding of data architecture, governance and security in data platforms.

Responsibilities

• Own the strategy and roadmap for Grab's data mesh and data throughput.
• Own data model definitions and how they map to physical data.
• Make modeled data products default for analysis and training Grab's AI models.
• Own data quality testing with tiered tests for critical data.
• Decide what data Grab cannot afford to get wrong and set contracts for changes.
• Ensure data mesh security with proper access control and classification.
• Own the data catalog, lineage and business context behind each table.
• Build in the open and analyze through our agents.

Skills

Product Management

Data Mesh

Data Architecture

Data Contracts

Governance & Security

AI & Agents

Influence

Tools

Kafka

Spark

Flink

Iceberg

Trino

DataHub

Job description

Grab's Data Platform team is building the data foundation that powers Grab's business in Singapore. This Data Product Manager role is onsite at Grab's headquarters, reporting to the Head of Product, Data and AI Platforms.

You will steer the Data Mesh, define core data models, and drive adoption of data tools across engineers, analysts and ML teams. You will set standards for data products, own data quality, governance, and the data catalog while enabling teams to work smarter and faster with