Head of Data Governance

Enterprise Governance & Controls

Define and own the firmwide data governance strategy — policies, standards, operating models, and accountability structures — across Financial Advisory and Asset Management lines of business.

Architect and enforce enterprise-grade data controls spanning data quality, access, lineage, lifecycle management, and classification, with clear escalation paths and issue remediation workflows.

Design and operate a governance operating model that integrates with first- and second-line risk frameworks, including three-lines-of-defense alignment.

Provide regular reporting to senior management and the Board (as appropriate) on data quality metrics, governance effectiveness, open issues, and remediation status.

Technical Architecture & Hands-On Execution

Lead the design of the firm’s enterprise data architecture governance layer — covering data platform standards, canonical data models, metadata management, data lineage, and master data management.

Actively engage in technical design reviews for data infrastructure, AI/ML pipelines, and analytics platforms to ensure governance is embedded at the architectural level, not bolted on after the fact.

Define and enforce data classification schemes, sensitivity labeling, and data handling standards that are operationally grounded and technically implementable.

Partner with Data Engineering and Platform Engineering to embed governance controls within data pipelines, data lakes, warehouses, and cloud infrastructure (AWS, Azure, or GCP).

Evaluate and own the firm’s data governance toolchain — including data catalogs, data quality engines, lineage tools, and observability platforms — with hands-on involvement in selection, configuration, and adoption.

Security, Privacy & Risk Controls

Partner with Information Security to define and enforce data security controls, including role-based and attribute-based access, data masking, tokenization, and encryption standards across data environments.

Own the governance of sensitive and regulated data categories — including client data, MNPI, personally identifiable information, and proprietary financial data — ensuring controls meet regulatory and internal policy requirements.

Ensure data governance practices support regulatory reporting obligations, auditability, records retention, and supervisory expectations across relevant jurisdictions (SEC, FINRA, GDPR, CCPA, and others as applicable).

Act as a key control owner in technology and operational risk frameworks; support internal audit, regulatory examinations, and external reviews with clear, auditable evidence of governance discipline.

Collaborate with Legal, Compliance, and Privacy teams to keep governance standards current with evolving regulatory requirements and enforcement trends.

Leadership & Stakeholder Influence

Build, mentor, and lead a high-performing data governance and stewardship organization; attract and develop talent with both technical depth and business acumen.

Serve as the firm’s senior voice on data governance with C-suite, business line heads, and the Board — translating complex data risk into clear business and strategic terms.

Drive cross-LOB adoption of governance standards through influence, education, and accountability mechanisms rather than mandates alone.

Establish governance communities of practice across business units to embed data stewardship into day-to-day operations.