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Enterprise Data Governance Jobs (NOW HIRING)

Wimmer Solutions

Data Governance Analyst

Renton, WA · On-site

Job Summary We are seeking a Data Governance Analyst to help drive enterprise data governance initiatives across the organization. This role will partner with data owners, data stewards, and ...

HEB

Manager, Data Governance (Austin)

Austin, TX · On-site

$155K/yr

Responsibilities As a Data Governance Manager, you will lead a team responsible for advancing enterprise data governance, data stewardship, and data quality practices that enable trusted, secure ...

HEB

Manager, Data Governance (Austin)

Austin, TX

Responsibilities As a Data Governance Manager, you will lead a team responsible for advancing enterprise data governance, data stewardship, and data quality practices that enable trusted, secure ...

Crescent Energy

Data Governance Manager

Houston, TX · On-site

Enterprise Data Management * Lead the enterprise Master Data Management strategy and execution ... Data Governance Program Leadership * Develop and operationalize an enterprise data governance ...

Ventura Foods

Principal Data Governance Lead

Irvine, CA · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Principal Data Governance Lead serves as the IT delivery owner for enterprise data governance, partnering with the Business Data Governance partner to establish governance policies and standards ...

Ventura Foods

Principal Data Governance Lead

Irvine, CA · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Principal Data Governance Lead serves as the IT delivery owner for enterprise data governance, partnering with the Business Data Governance partner to establish governance policies and standards ...

Ventura Foods

Principal Data Governance Lead

Irvine, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Principal Data Governance Lead serves as the IT delivery owner for enterprise data governance, partnering with the Business Data Governance partner to establish governance policies and standards ...

Artius Solutions

Data Governance Lead

Minneapolis, MN · On-site

$105 - $112/hr

Minneapolis, MN Job Summary We are seeking a hands-on Data Governance Lead to help define and implement an enterprise-wide data governance framework. This role will focus on governance strategy ...

Mayvin

Senior Data Governance Analyst

Arlington, VA · On-site

$110K - $130K/yr

Facilitate development and execution of enterprise data governance strategies while advising senior executives on data policy, risk, and modernization priorities * Develop and support frameworks for ...

Ventura Foods

Principal Data Governance Lead

Irvine, CA · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Principal Data Governance Lead serves as the IT delivery owner for enterprise data governance, partnering with the Business Data Governance partner to establish governance policies and standards ...

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Enterprise Data Governance information

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How much do enterprise data governance jobs pay per hour?

As of Aug 18, 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 are the key skills and qualifications needed to thrive as an enterprise data governance professional?

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.

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.

Is enterprise data governance a good career?

Enterprise Data Governance is a growing field that involves managing data quality, compliance, and security within organizations. It requires skills in data management tools, understanding regulatory requirements, and often offers opportunities for advancement and specialization. The role is considered stable and in demand as organizations increasingly prioritize data-driven decision-making.
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:

Enterprise Data Governance jobs near you
Infographic showing various Enterprise Data Governance job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $113,939 per year, or $54.8 per hour.

Data Quality Lead | Data Governance / Product Owner

Shimento, Inc.

Charlotte, NC • On-site

Other

Posted 7 days ago

Job description

Job Title: Data Quality Product Owner (Enterprise Data Governance)

Location: Charlotte, NC

Experience: 7-10+ Years

Job Summary

We are seeking an experienced Data Quality Product Owner / Data Quality Expert to lead the enterprise Data Quality capability as part of our Data Governance organization. This role will work closely with the Enterprise Data Governance Leader, Tooling team, Data Strategy team, Data Stewards, Business Owners, and Technology teams to establish, operationalize, and continuously improve enterprise-wide data quality practices.

The ideal candidate will have deep expertise in Data Quality frameworks, rule definition, stewardship enablement, and enterprise data quality adoption, along with hands-on experience configuring data quality rules and driving product enhancements. Experience with Alation Data Quality is highly preferred.

Key Responsibilities

•           Lead the enterprise Data Quality product roadmap and execution in partnership with Data Governance and Data Strategy leadership.

•           Define enterprise Data Quality standards, policies, scorecards, best practices, KPIs, and monitoring processes.

•           Drive enterprise adoption of Data Quality capabilities through training, coaching, communication, and change management initiatives.

•           Develop and deliver presentations for Data Stewards, Data Owners, and business users on Data Quality best practices and governance processes.

•           Partner with Technology, Engineering, and Platform teams to prioritize, configure, test, and implement Data Quality requirements into technical capabilities, features, enhancements, and integrations within the product backlog.

•           Monitor Data Quality metrics, trends, and issue resolution, providing actionable insights to leadership.

•           Facilitate governance forums to review Data Quality performance, exceptions, and continuous improvement opportunities.

•           Collaborate with enterprise architecture and data platform teams to embed Data Quality controls into data pipelines and operational processes.

•           Establish repeatable processes for Data Quality issue management, root cause analysis, and remediation tracking.

•           Stay current with industry best practices and recommend improvements to enterprise Data Quality capabilities.

Required Qualifications

  • Bachelor’s degree in computer science, Information Systems, Data Management, or related field.
  • 10+ years of experience in Data Management, Data Governance, Data Quality, or Data Strategy.
  • Strong communications skillset and confidence interacting with stakeholders as a Data Quality Subject Matter Expert
  • Strong expertise in designing and implementing enterprise Data Quality frameworks.
  • Implementation of key Data Quality dimensions including Accuracy, Completeness, Consistency, Timeliness, Validity, and Uniqueness
  • Hands-on experience creating and configuring Data Quality rules and validations.
  • Experience working with Data Governance operating models, Data Stewards, Data Owners, and Governance Councils.
  • Proven experience driving enterprise adoption, stakeholder engagement, training, and organizational change management.
  • Strong understanding of metadata management, business glossary, data lineage, and Critical Data Elements (CDEs).
  • Experience working in Agile environments as a Product Owner or Product Manager.
  • Excellent communication, facilitation, and stakeholder management skills.
  • Strong analytical and problem-solving capabilities.

 

Preferred Qualifications

  • Hands-on experience with Alation Data Quality and the broader Alation platform.
  • Experience with enterprise Data Governance tools such as Collibra, Ataccama, Informatica IDMC, Microsoft Purview
  • Experience working with cloud data platforms such as Snowflake, AWS, or Google Cloud.
  • Familiarity with SQL and data profiling techniques.
  • Experience in highly regulated industries such as Financial Services, Banking, Healthcare, or Insurance.

 

What Success Looks Like

  • Subject Matter Expert as the product owner for Data Quality, from strategy, requirements, procedures, and best practices to technical implementation, tooling capabilities, and agentic execution
  • Enterprise-wide adoption of Data Quality practices and governance processes.
  • Enterprise Data Governance Strategy incorporates data quality best practices concurrent with enterprise maturity
  • Increased engagement and effectiveness of Data Quality Rules created by Data Stewards and Data Owners.
  • Successful implementation of prioritized Data Quality product enhancements.
  • Well-defined, measurable, and sustainable Data Quality operating model.
  • Strong collaboration between Business, Data Governance, and Technology teams.

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