A fast-growing, high-performing investment firm is seeking a Data Governance Lead to help architect the future of its data infrastructure. This is a pivotal opportunity to work at the intersection of data strategy, technology, and investment operations, influencing how information is sourced, secured, structured, and scaled across the enterprise.
Youll operate as a senior individual contributor and cross-functional leader shaping policy, defining architecture, and driving adoption of best-in-class data practices across the firm.
This position is ideal for a hands-on leader who thrives in a collaborative, entrepreneurial environment and has a passion for building future-ready data foundations.
What Youll Be Doing:
- Develop and roll out a robust governance framework that spans the entire data lifecyclefrom sourcing and validation to classification, stewardship, and compliance.
- Implement data audit, acquisition, and monitoring processes to ensure accuracy, consistency, and compliance with internal and external requirements.
- Partner with engineering and analytics teams to define and maintain clear standards for data structure, categorization, and lineage.
- Design and enforce permissioning policies that align with regulatory standards, operational needs, and cost-efficiency goals.
- Collaborate with data engineers to apply modern architectural principles (e.g., medallion architecture) to support scalable, reliable, and performant data pipelines.
- Maintain a central data catalog and user-friendly documentation that enables discoverability and drives adoption across technical and non-technical teams.
- Serve as a governance evangelist, aligning stakeholders across business and technology to a shared vision of high-integrity, high-impact data.
What Were Looking For:
- Degree in Computer Science, Finance, Information Systems, or a related field.
- Significant experience in data governance within financial services, preferably in asset management, hedge funds, or multi-asset environments.
- Strong working knowledge of buy-side operations (front, middle, and risk functions).
- Hands-on experience with cloud-native platforms (Azure, AWS) and modern data stacks (e.g., Databricks, Snowflake).
- Skilled in SQL, Python, and familiar with governance tools such as Collibra, Alation, or Informatica.
- Deep understanding of multi-asset class data, including equities, fixed income, derivatives, and alternatives.
- Strong communicator and collaborator with a problem-solving mindset and a passion for building scalable, future-ready data systems.
Please contact Jackie Panopio at +65 6950 0369 or [Confidential Information] for a confidential discussion.
EA License no: 16S8066 | Reg no.:R1332082
