APAC Data & Analytics Leader

Aon Corporation; Singapore; On-site; SGD 160,000 - 220,000; Full time

Job summary

A global consulting firm in Singapore is seeking a Head of Data & Analytics APAC to guide analytical capabilities and drive data-driven decision-making. The role requires leading a team to develop data strategies, manage data governance, and collaborate with stakeholders across business units. Ideal candidates have over 10 years in BI leadership, along with strong skills in data analysis, governance, and relationship management. This position provides opportunities for influencing automation and digitalization within data processes.

Benefits

Comprehensive benefits package

Flexible working style solutions

Global Wellbeing Days

Continuous learning culture

Qualifications

• 10+ years in a leadership role in BI, analytics or data analytics.
• Experience in financial services or insurance preferred.
• Strong skills in data quality and data warehousing.

Responsibilities

• Guide Aon’s analytical capabilities to drive decision-making.
• Manage team to deliver data and analytics capabilities.
• Establish governance models ensuring data quality and ethical management.
• Collaborate with senior stakeholders for analytics alignment.

Skills

Leadership in BI and analytics

Data analysis and visualization

Data governance and quality

SQL development

Data architecture design

Exceptional communication skills

Tools

SQL Server

Oracle

PowerBI

AWS S3

Snowflake

Azure Blob Storage

Job description

A global consulting firm in Singapore is seeking a Head of Data & Analytics APAC to guide analytical capabilities and drive data-driven decision-making. The role requires leading a team to develop data strategies, manage data governance, and collaborate with stakeholders across business units. Ideal candidates have over 10 years in BI leadership, along with strong skills in data analysis, governance, and relationship management. This position provides opportunities for influencing automation and digitalization within data processes.