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Enterprise Data Governance Jobs (NOW HIRING)

This role will drive development of the enterprise data governance program, with accountability for Critical Data Elements (CDEs), data quality, metadata management, data lineage, regulatory ...

This role will drive development of the enterprise data governance program, with accountability for Critical Data Elements (CDEs), data quality, metadata management, data lineage, regulatory ...

This role will drive development of the enterprise data governance program, with accountability for Critical Data Elements (CDEs), data quality, metadata management, data lineage, regulatory ...

This role will drive development of the enterprise data governance program, with accountability for Critical Data Elements (CDEs), data quality, metadata management, data lineage, regulatory ...

Data Governance

Pasadena, CA · On-site

$115K/yr

This role will drive development of the enterprise data governance program, with accountability for Critical Data Elements (CDEs), data quality, metadata management, data lineage, regulatory ...

Support the implementation and ongoing maturation of the bank's enterprise data governance framework, including policies, standards, procedures, and operating models. * Partner with business and ...

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Enterprise Data Governance information

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How much do enterprise data governance jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for enterprise 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 is enterprise data governance?

Enterprise data governance refers to the set of processes, policies, and standards that organizations implement to ensure the effective management, quality, security, and availability of their data across the enterprise. It involves defining who can take what actions with what data, and under what circumstances, to ensure data integrity and compliance with regulations. Effective data governance helps organizations maximize the value of their data assets while minimizing risks related to data privacy, security, and misuse.

What is the role of enterprise data governance?

Enterprise data governance is a framework that ensures data is accurate, consistent, and secure across an organization. It involves establishing policies, standards, and responsibilities to manage data quality, compliance, and lifecycle management, often utilizing tools like data catalogs and metadata management. Data governance professionals work to enable trusted data for decision-making and regulatory adherence.

Is data governance high paying?

Data governance roles, including Enterprise Data Governance positions, tend to offer competitive salaries due to their importance in managing data quality, compliance, and security. Salaries vary based on experience, certifications, and location, but they are generally above average compared to other IT roles. Advanced skills in data management tools and regulatory knowledge can further increase earning potential.

What are the 4 pillars of DAG?

In the context of enterprise data governance, the four pillars of Data Governance (DAG) typically include data quality, data management, data policies, and data compliance. These pillars help ensure data is accurate, secure, and used responsibly across an organization. Professionals in data governance focus on establishing frameworks and tools to support these core areas.

Will AI replace data governance?

AI can automate certain data governance tasks such as data classification and monitoring, but it cannot fully replace the role of data governance professionals. Data governance requires human oversight to establish policies, ensure compliance, and interpret complex data issues, making the role essential even as AI tools are integrated. Data governance specialists need skills in data management, compliance, and tools like data catalogs and metadata management systems.

What is the difference between Enterprise Data Governance vs Data Analyst?

AspectEnterprise Data GovernanceData Analyst
CredentialsCertifications in data management, data governance, or related fieldsDegree in statistics, data science, or related fields; certifications like Microsoft Excel or Tableau
Work EnvironmentOrganizational, policy-driven, cross-departmentalData-focused, analytical, often project-based
Employer & Industry UsageUsed across industries to establish data policies and standardsUsed in various industries for data analysis and reporting

Enterprise Data Governance focuses on establishing policies, standards, and oversight for data management across an organization, ensuring data quality and compliance. Data Analysts primarily analyze data to generate insights, reports, and support decision-making. While Data Governance sets the framework, Data Analysts operate within it to interpret data and provide actionable insights.

What are the key skills and qualifications needed to thrive as an Enterprise Data Governance professional, and why are they important?

To thrive as an Enterprise Data Governance professional, you need expertise in data management principles, regulatory compliance, and data quality frameworks, often supported by a degree in information management or a related field. Familiarity with data governance tools (such as Collibra or Informatica), metadata management systems, and relevant certifications like CDMP is highly beneficial. Strong analytical thinking, stakeholder communication, and project management skills set top performers apart. These abilities are crucial to ensuring that data is accurate, secure, and effectively utilized to support organizational strategy and compliance.

What are typical challenges faced by professionals working in Enterprise Data Governance roles?

Professionals in Enterprise Data Governance often encounter challenges such as aligning data management practices across diverse business units, ensuring data quality and consistency, and driving compliance with evolving regulatory requirements. Balancing the need for robust data controls with business agility can also be complex, as can fostering a data-driven culture within large organizations. Strong collaboration with IT, legal, compliance, and business teams is essential to address these challenges and implement effective governance frameworks.
More about Enterprise Data Governance jobs
What states have the most Enterprise Data Governance jobs? States with the most job openings for Enterprise Data Governance jobs include:
What job categories do people searching Enterprise Data Governance jobs look for? The top searched job categories for Enterprise Data Governance jobs are:
Infographic showing various Enterprise Data Governance job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, 1% Part Time, and 3% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $113,939 per year, or $54.8 per hour.
Enterprise Data Governance Lead

Enterprise Data Governance Lead

Mitchell Martin

Columbus, OH

Other

Posted 17 days ago


Job description

Enterprise Data Governance Lead

Join our team in Columbus, OH as a Contract Enterprise Data Governance Lead. In this role, you'll be responsible for building and scaling data governance and stewardship capabilities. You'll work closely with cross-functional teams to ensure compliance and effective data management across the organization.

Key Responsibilities

  • Lead the development and execution of data governance strategies and processes.
  • Coordinate data stewardship activities and manage key governance initiatives.
  • Partner with stakeholders to embed governance practices into daily operations.
  • Conduct training sessions to promote governance tools and practices.
  • Monitor and report on governance KPIs and initiative progress.

Qualifications

Bachelor's Degree with 7 years of experience in data governance or related roles. Experience in a federated, matrixed, or enterprise-scale operating model. Proven ability to influence outcomes without formal authority. Hands-on experience with enterprise data governance platforms. Strong stakeholder management and mentoring skills.

Core Technologies

Data Governance Platforms | Metadata Management | Data Stewardship Tools