Data Governance Lead

DYMON ASIA CAPITAL (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 120,000 - 150,000; Full time

Job summary

A leading financial services firm in Singapore is seeking a Data Governance Lead to architect and implement a data governance framework tailored for multi-asset investment management. The ideal candidate must have a degree in a relevant field and proven experience in data governance, with technical fluency in SQL and Python among others. This role offers a unique opportunity to shape data standards that drive decision-making across the firm.

Qualifications

• Proven experience in data governance within asset management or hedge funds.
• Deep understanding of buy‑side workflows — front office, risk, middle office.
• Hands-on experience with multi‑asset class data.

Responsibilities

• Architect and implement a data governance framework.
• Establish rigorous data acquisition and audit processes.
• Define normalization, classification, and metadata protocols.

Skills

Data governance

SQL

Python

Cloud-native tools (Azure)

Data management

Education

Degree in Finance, Data Management, Computer Science, or related field

Tools

Databricks

Azure

Snowflake

Collibra

Alation

Informatica

Job description

Data Governance Lead

We’re on a mission to build a world-class data platform that powers research, AI, risk, and execution across multi-asset workflows. To get there, we’re looking for a hands‑on Data Governance Lead who’s ready to roll up their sleeves and shape the standards, systems, and culture that will define how data flows, scales, and drives decisions across the firm.

Responsibilities

• Design the Blueprint: Architect and implement a future-proof data governance framework—from discovery and sourcing to permissioning and stewardship—tailored for a multi-asset alternative investment manager.
• Raise the Bar: Establish rigorous data acquisition and audit processes, ensuring every dataset meets compliance, quality, and business standards.
• Set the Standards: Collaborate with engineering to define normalization, classification, and metadata protocols across asset classes.
• Secure with Confidence: Lead sensitive data policy creation and enforce permissioning frameworks that balance access, control, and cost transparency.
• Drive Architecture Adoption: Partner with data engineers to embed medallion architecture principles across our data ecosystem.
• Champion Quality: Build systems that ensure data speed, completeness, and accuracy—automated, scalable, and trusted.
• Illuminate the Landscape: Maintain a standardized data catalogue and user documentation to unlock discovery, transparency, and usability.
• Advocate for governance principles across tech and business teams, making data integrity a shared mission.
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Qualifications

• A degree in Finance, Data Management, Computer Science, or a related field.
• Proven experience in data governance within asset management, hedge funds, or multi-asset financial services.
• Technical fluency in SQL (Structured Query Language), Python, and cloud-native tools (Azure).
• Deep understanding of buy‑side workflows—front office, risk, and middle office.
• Familiarity with multi‑asset class data (equities, fixed income, derivatives, alternatives).
• Hands‑on experience with modern data platforms (Databricks, Azure, Snowflake) and governance tools (Collibra, Alation, Informatica).
• A sharp, organized mind with a bias for action and a love for solving complex problems.