We are looking for a proactive Data Governance Lead to establish and manage robust governance practices across a leading investment organization for greenfield projects. The role will ensure data is accurate, secure, and consistently managed, supporting key teams across research, risk, operations, and trading.

QUALIFICATIONS:

• Bachelor’s or Master’s degree in Finance, Computer Science, Data Management, or a related field.
• Hands-on experience in data governance, data quality, or data management within investment or financial services environments.
• Understanding of financial data, multi-asset class workflows, and risk operations.
• Familiarity with modern data platforms (e.g., Snowflake, Databricks, Azure) and governance tools (e.g., Collibra, Alation, Informatica).
• Strong ability to communicate complex data concepts to both technical and non-technical stakeholders.
• Highly organized, detail-oriented, and solution-focused mindset.
  If this outstanding opportunity sounds like your next career move, please submit through “Apply Now” or send your resume in Word format toCharlie Kimatresume.sg@pinpointasia.comand putData Governance Lead - Elite Buy-side Firmin the subject header.
  Data provided is for recruitment purposes only.

KEY RESPONSIBILITIES:

• Design and implement a company-wide data governance framework, covering data discovery, sourcing, access, and stewardship.
• Define and oversee processes for acquiring new datasets, including quality checks, compliance reviews, and documentation.
• Collaborate with data and engineering teams to enforce standards for data classification, normalization, and metadata management.
• Manage access controls and permissions for sensitive data, ensuring security and appropriate usage.
• Support data architecture initiatives to create structured, reusable, and reliable data pipelines.
• Monitor data quality, completeness, and lineage, proactively addressing issues.
• Act as the bridge between business teams and data teams, embedding governance requirements into daily workflows.
• Maintain a central data catalog and documentation to enable transparency and reusability.
• Promote data governance awareness and best practices across teams.