Head of Data

TLC Technology; Singapore; On-site; SGD 300,000 - 420,000; Full time

Job summary

TLC Technology is seeking a Head of Data and Analytics for a Singapore-based investment and asset manager. Lead the enterprise data platform, drive data engineering, and steer cloud-native data capabilities across AI/ML initiatives.

You will partner with investment, risk and operations teams, establishing governance and compliance while delivering a strategic data roadmap. Executive leadership role with high visibility and a competitive package awaits.

Qualifications

• 12+ years in technology, including 8+ in data engineering or cloud data architecture.
• 5+ years leading engineering teams and large-scale data programmes.
• Asset management, banking or capital markets experience, preferred.
• Strong expertise in Python, SQL, Spark, Kafka and AWS, Azure or GCP.
• Executive presence and a strategic, delivery-focused mindset.

Responsibilities

• Define and deliver the enterprise data strategy and roadmap.
• Build and lead a high-performing data engineering team.
• Own modern cloud data platforms, including lakehouse, warehouse and real-time capabilities.
• Partner with investment, risk and operations teams on trusted investment data and AI/ML initiatives.
• Lead data governance, quality and regulatory compliance.

Skills

Python

SQL

Spark

Kafka

AWS

Azure

GCP

Executive presence

Strategic mindset

Tools

Cloud platforms (AWS/Azure/GCP)

Spark tooling

Job description

Singapore | Large Investment and Asset Manager | Permanent

Our client, a large Singapore-headquartered investment and asset manager with a strong regional presence, is looking for a Head of Data and Analytics to lead its enterprise data platform and data engineering function.

The role

• Define and deliver the enterprise data strategy and roadmap.
• Build and lead a high-performing data engineering team.
• Own modern cloud data platforms, including lakehouse, warehouse and real-time capabilities.
• Partner with investment, risk and operations teams on trusted investment data and AI/ML initiatives.
• Lead data governance, quality and regulatory compliance.

The candidate

• 12+ years in technology, including 8+ in data engineering or cloud data architecture.
• 5+ years leading engineering teams and large-scale data programmes.
• Asset management, banking or capital markets experience, preferred.
• Strong expertise in Python, SQL, Spark, Kafka and AWS, Azure or GCP.
• Executive presence and a strategic, delivery-focused mindset.

What’s on offer

A senior leadership role with real ownership of the data agenda, high visibility and a competitive package.