Data Governance Lead

Overview
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.
You’ll 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 You’ll Be Doing
Develop and roll out a robust governance framework that spans the entire data lifecycle—from 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 We’re 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 or for a confidential discussion.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Information Services
Investment Management
Investment Banking
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