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Head Of Data Governance Jobs (NOW HIRING)

Lazard, Inc.

Head of Data Governance

Manhattan, NY · On-site

We are seeking an exceptional Head of Data Governance to serve as the firm's authority on enterprise data governance. Reporting to the Head of AI and Data, you will architect and lead a firmwide ...

Tradeweb Markets

Head of Data Governance

New York, NY · Hybrid

... 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 ...

New

Alquemy

Head of Data

Princeton, NJ

Head of Data Location: New York City, NY | Princeton, NJ | Hartford, CT Employment Type: Full-Time ... You'll work across business and technology teams to establish data governance frameworks, drive ...

Lnw

Head of Data

Las Vegas, NV · On-site

Position Summary The Head of Data is a critical, highly visible leadership role at the heart of ... Governance must drive measurable adherence and behavior change, not just policy documentation.

Incubator Lab

Head of Data

Miami, FL · Remote

$15K - $18K/mo

Position Summary The Head of Data owns the organization's overarching data strategy, foundational platforms, governance frameworks, and the analytics-to-AI value chain. Reporting directly to the ...

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How much do head of data governance jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for head of data governance in the United States is $54.78, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $67.07 per hour, depending on experience, location, and employer.

What are some common challenges faced by a Head of Data Governance, and how can they be addressed?

A Head of Data Governance often encounters challenges such as ensuring enterprise-wide data quality, gaining stakeholder buy-in, and navigating complex regulatory requirements. Overcoming these hurdles typically involves establishing clear data ownership, implementing robust data stewardship processes, and fostering a culture of accountability throughout the organization. Collaboration with IT, legal, compliance, and business teams is essential to develop effective policies and drive consistent data practices. Regular training and transparent communication can also help align teams and promote the importance of sound data governance.

What are the key skills and qualifications needed to thrive as a Head of Data Governance, and why are they important?

To thrive as a Head of Data Governance, you need expertise in data management, data privacy regulations, and information architecture, often supported by a degree in computer science or related fields. Familiarity with data governance frameworks, data cataloging tools, and certifications such as CDMP (Certified Data Management Professional) are typically required. Strong leadership, stakeholder management, and communication skills are essential for driving organizational alignment and change. These competencies ensure effective data stewardship, regulatory compliance, and maximize the value of enterprise data assets.

What is the difference between Head Of Data Governance vs Data Governance Manager?

AspectHead Of Data GovernanceData Governance Manager
ResponsibilitiesStrategic oversight, policy development, and overall data governance frameworkImplementing policies, managing teams, and ensuring compliance at operational level
Required CredentialsTypically requires extensive experience, certifications like CDMP or DAMA, and leadership skillsOften requires similar certifications and experience but focuses more on execution and team management
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningOperational, team management, project execution within data governance teams

The Head Of Data Governance focuses on strategic leadership and policy setting, while the Data Governance Manager handles day-to-day implementation and team management. Both roles require relevant certifications and experience, but differ mainly in scope and level of responsibility.

What does a Head of Data Governance do?

A Head of Data Governance is responsible for establishing and overseeing policies, procedures, and standards to ensure the effective management, quality, security, and privacy of an organization's data assets. They work closely with various departments to ensure data is accurate, consistent, and used in compliance with regulations. This role typically involves leading a team, developing data governance frameworks, and driving initiatives to improve data literacy and accountability across the company.
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Head Of Data Governance jobs near you
Infographic showing various Head Of Data Governance job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,939 per year, or $54.8 per hour.
Head of Data Governance

Head of Data Governance

Lazard, Inc.

Manhattan, NY • On-site

Full-time

Posted 11 days ago

Job description


Lazard is one of the world's preeminent financial advisory and asset management firms. Our people and culture make the difference. While global in presence and reach, ours is a close, collaborative community of just over 3,000 professionals. Lazard is a place of continuous knowledge sharing, skill development and relationship building, where professionals grow and succeed together. Our entrepreneurial culture, flat structure and embrace of individual differences, allow creative ideas, original concepts, and unique perspectives to drive our business forward - and for careers to take flight.
AI is the central pillar of Lazard's 2030 Growth Strategy. Our ambition is to become the leading AI-enabled independent Financial Services firm. This is to say we are interested in AI beyond the scope of operational efficiency. We see AI and Contextual Alpha as two primary factors underpinning our future success and better outcomes for our clients.
We are seeking an exceptional Head of Data Governance to serve as the firm's authority on enterprise data governance. Reporting to the Head of AI and Data, you will architect and lead a firmwide governance framework that treats data as a trusted, well-governed strategic asset across Lazard's Financial Advisory and Asset Management businesses. This is a hands-on leadership role requiring deep technical fluency, proven experience operating across multiple lines of business in a regulated financial services environment, and the credibility to drive enterprise-wide accountability at the most senior levels.
The ideal candidate has served as a head of data governance, or equivalent, at a bank, asset manager, broker-dealer, or similarly complex financial institution, and brings a track record of designing and enforcing enterprise controls, security controls, and technical data architecture across diverse business lines with differing data needs, regulatory profiles, and risk tolerances.
We'll trust you to:
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
  • Establish data ownership and stewardship accountability at the business line and function level, with governance structures that scale across a multi-LOB organization
  • 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

You'll need to have:
  • 12+ years of experience in data governance, data management, or related disciplines in financial services, with at least 5 years in a senior leadership capacity (e.g., Head of Data Governance, Chief Data Officer, VP/MD-level data governance lead)
  • Proven track record operating at a financial services firm with multiple lines of business (e.g., investment banking, asset management, lending, trading, or insurance), with direct experience navigating different data domains, regulatory regimes, and business unit priorities
  • Deep expertise in enterprise data governance frameworks, methodologies, and operating models (e.g., DCAM, DAMA-DMBOK, or equivalent) including hands-on design and implementation experience, not just advisory oversight
  • Direct experience designing and enforcing enterprise controls and data security controls, including access governance, data classification, sensitive data management, and integration with information security frameworks
  • Demonstrated technical depth: ability to engage credibly with data engineers, architects, and platform teams on data modeling, pipeline design, cloud data infrastructure, and governance tooling
  • Hands-on experience with data governance and data quality tooling
  • Familiarity with cloud data platforms (AWS, Azure, or GCP) and modern data stack architecture (data lakehouses, medallion architecture, data mesh, or similar)
  • Strong working knowledge of relevant financial services regulatory requirements: SEC, FINRA, GDPR, CCPA, BCBS 239, and data-related expectations from prudential regulators
  • Experience supporting or leading responses to internal audit, regulatory exams, and third-party reviews as a control owner
  • Undergraduate degree or higher in Computer Science, Engineering, Data Science, Mathematics, or a quantitative technical field

It's a bonus to have:
  • Experience governing data for AI and machine learning systems, including model data lineage, training data governance, and AI risk frameworks
  • Background in quantitative finance, financial data models, or securities data (market data, reference data, portfolio data)
  • Relevant certifications: CDMP, CIPPE, CISM, or equivalent
  • Experience at a global firm with cross-border data flows and multi-jurisdictional regulatory obligations

What We Offer
We strive to enhance the total health and well-being of our employees through comprehensive, competitive benefits. Our goal is to offer a highly individualized employee experience that enables you to balance your commitments to career, family, and community.
We expect the base salary range for this role to be approximately $200,000-$275,000 USD. Various factors contribute to determining actual base compensation, including years of relevant experience, career tenure, qualifications, level of education, certifications, and relevant skills. Base salary is one component of Lazard's compensation package, which also includes comprehensive benefits and may include incentive compensation.
Does this sound like you?
Apply! We'll get in touch on the next steps.
Representation at Lazard
Lazard is an intellectual capital business committed to delivering the best advice and solutions to clients. We believe that a workforce comprised of people who represent a wide array of backgrounds, experiences, and perspectives creates a rich variety of thought that empowers us to challenge conventional wisdom, solve problems creatively, and make better decisions.
Lazard was built on the premise that a multicultural firm can best serve a global clientele. As a global firm that has grown organically from local roots in different countries, we have a deep tradition of respecting and appreciating individual differences. Doing so has been core to our success for over 175 years. We are committed to sustaining an environment where every colleague is supported in their professional pursuits, can maximize their individual potential, and contribute to our collective success.

Apply