Head of Enterprise Data & Analytics

Remote Full-time
Thornburg is a global investment firm delivering on strategy for institutions, financial professionals and investors worldwide. The privately held firm, founded in 1982, is an active, high-conviction manager of fixed income, equities, and multi-asset solutions.

As an independent firm, Thornburg can take on a wide range of opportunities, explore ideas thoroughly and work across strategies to deliver consistent risk-adjusted outperformance over the long term. The firm attracts free-thinking professionals who are eager to pursue investment outcomes beyond the confines of popular wisdom. From nimble operational capabilities to principles and actions fitting of a global citizen, Thornburg’s world-class investment platform and team are aligned on strategy to serve investors.

Job Summary

Thornburg Investment Management is seeking a Head of Enterprise Data & Analytics to build and lead a newly formed enterprise data function. This senior leader will establish firmwide data governance, data quality standards, and investment analytics methodology across all asset classes, ensuring trusted, consistent data for internal and external stakeholders.

This role combines deep investment data expertise with the ability to set strategy, influence across teams, and build scalable data capabilities.

Duties and Responsibilities
• Lead the firm’s enterprise data governance program, including data standards, ownership, quality controls, and authoritative data sources (“book of record”).
• Define and enforce data quality rules, lineage documentation, and certification standards for critical investment and business data.
• Own investment analytics, performance measurement, and attribution methodology, including firmwide GIPS compliance.
• Validate security-level analytics, pricing, classifications, and derived metrics; oversee monthly and quarterly performance processes.
• Serve as a subject matter expert for institutional investment data and analytics platforms and key system integrations.
• Partner with Investment, Risk, IT, Operations, Marketing, and Compliance to align data strategy with business needs
• Lead evaluation and ongoing management of data and analytics vendors, including quality, cost, and service standards.
• Develop and execute a multi-year enterprise data and analytics roadmap aligned with firm strategy.
• Build, mentor, and manage a small team of senior data and analytics professionals.

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