Head of Payments Analytics & AI Strategy

gp network asia pte. ltd.; Singapore; On-site; SGD 150,000 - 190,000; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

GrabFlex benefits

Parental leave

Birthday leave

LASA volunteering leave

Grabber Assistance Programme

FlexWork hours

Job summary

Grab Singapore seeks a seasoned analytics leader to drive data-driven decision making across the Payments Tech ecosystem. You will lead analytics teams, partnering with Product, Engineering, Design, and Data Science to define data requirements and deliver actionable insights for key product decisions.

The role emphasizes evaluating new business ideas, designing experiments, building advanced models, and embedding AI-enabled workflows to accelerate decision making.

Qualifications

• 8+ years in Analytics, Product/Business Analytics, or Data Strategy roles.
• Master's degree in a quantitative field.
• Advanced proficiency in SQL and Power BI.
• Big Data technologies (Spark, PySpark) and experience running controlled experiments.
• Proven track record influencing product decisions and leveraging AI tools.

Responsibilities

• Lead analytics teams across Payments Tech to drive data-informed decisions.
• Collaborate with Product, Business, Engineering, Design, and Data Science to define data requirements and metrics.
• Evaluate feasibility of new business ideas and provide actionable recommendations.
• Develop and deploy advanced statistical models and anomaly detection to monitor product metrics.
• Foster data-driven culture and coach analysts in modern analytics techniques.

Skills

Analytics leadership

SQL proficiency

Power BI

Big Data (Spark/PySpark)

Experimentation

AI tools familiarity

Data-driven decision making

Education

Master's degree in quantitative discipline

Tools

Spark / PySpark

Power BI

Job description

Grab Singapore seeks a seasoned analytics leader to drive data-driven decision making across the Payments Tech ecosystem. You will lead analytics teams, partnering with Product, Engineering, Design, and Data Science to define data requirements and deliver actionable insights for key product decisions.

The role emphasizes evaluating new business ideas, designing experiments, building advanced models, and embedding AI-enabled workflows to accelerate decision making.