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# strategic and execution-oriented Head of Data Governance

- **Company:** Tradeweb Markets LLC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $175,000.0 - $240,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Systems, Data Governance, Data Security, Information Technology, Data Lineage, Collibra, Data Management
- **Published:** September 24, 2026
- **Apply:** https://www.thejobnetwork.com/job/head-data-governance-509977064

## About the Role

* Bachelor's or Master's degree in Information Systems, Computer Science, Data Management, Business, Finance, or a related field, or equivalent professional experience.
 * 12+ years of experience in data governance, data management, or data risk within financial services or trading platforms.
 * Strong background in capital markets, electronic trading, or fintech environments.
 * Deep understanding of data governance frameworks, operating models, regulatory requirements and tools (e.g. Collibra)
 * Demonstrated success building or transforming enterprise data governance programs.
 * Exceptional stakeholder management skills; ability to influence senior leaders and obtain buy-in.
 * Proven ability to lead cross-functional initiatives in complex organizations and drive pragmatic solutions.
 * Demonstrated leadership in executing and scaling governance frameworks, with strong communication and team management capabilities.

## Description

Tradeweb is seeking a senior, strategic and execution-oriented Head of Data Governance to build, enhance and oversee our Data Governance framework. This individual will establish a Data Governance function and partner with senior stakeholders across functions to drive oversight of:

 * Data Ownership
 * Data Quality
 * Data Lineage
 * Data Security
 * Data Privacy, * Establish Data Governance frameworks, including roles, responsibilities, policies, standards and oversight forums.
 * Define data ownership models across business domains; ensure key data roles are identified and individuals are trained on expected roles and responsibilities (e.g. Data Owners, Data Stewards).
 * Establish enterprise data quality standards, metrics, and monitoring capabilities; ensure consistent adoption across the Firm.
 * Define and enforce data standards for AI use cases, ensuring consistency, quality, lineage and appropriate controls across AI applications.
 * Embed a Data Risk & Control framework in partnership with Operational/Data Risk functions to identify, assess and mitigate data-related risks, including formal review and approval of risk acceptances.
 * Provide governance and oversight of data supporting regulatory reporting, ensuring data lineage, traceability, accuracy and completeness in line with regulatory expectations.
 * Define and track governance KPIs/KRIs, with regular reporting and escalation to senior stakeholders.
 * Evaluate, select and provide oversight of data governance tooling and platforms (e.g. catalog, lineage, quality), ensuring alignment with enterprise architecture and scalability.