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Metadata Manager Jobs in Texas (NOW HIRING)

Master Data Management Architect

Houston, TX · On-site

$60.75 - $78.25/hr

Establish and maintain metadata standards, hierarchies, taxonomies, and data models to support ... Manage full lifecycle delivery of MDM/PIM initiatives - from requirements gathering through design ...

Metadata, Catalog & Data Lifecycle Management * Lead the implementation and ongoing management of enterprise metadata, business glossary, and data catalog capabilities. * Maintain data lineage ...

Metadata, Catalog & Data Lifecycle Management * Lead the implementation and ongoing management of enterprise metadata, business glossary, and data catalog capabilities. * Maintain data lineage ...

We are seeking an experienced Manager, Data Engineering to lead end-to-end data management for a ... Define and enforce data quality, governance, metadata, and compliance standards. * Oversee data ...

Metadata Management: * Promote and manage the ongoing documentation of data assets, including maintaining data catalogues and dictionaries. * Education & Culture: * Foster a culture of data ...

Showing results 41-60

Metadata Manager information

See Texas salary details

$25.6K

$76.1K

$128.1K

How much do metadata manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for metadata manager in Texas is $76,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,600.00 and $108,500.00 per year, depending on experience, location, and employer.

What is a metadata manager?

Metadata Managers are professionals responsible for organizing, maintaining, and overseeing the metadata that describes data assets within an organization. Their role ensures that information about data—such as its source, format, ownership, and usage—is accurately recorded and easily accessible. This helps improve data governance, enables efficient data retrieval, and supports compliance with data regulations. Metadata Managers often collaborate with IT, data governance, and business teams to implement metadata standards and tools.

How does a metadata manager typically collaborate with other departments within an organization?

A Metadata Manager frequently works cross-functionally with departments such as IT, data governance, business intelligence, and compliance to ensure consistent data definitions and standards. This role involves facilitating communication between technical teams and business stakeholders to align data cataloging practices with organizational goals. Metadata Managers often lead training sessions, develop documentation, and help teams understand the importance of metadata quality, making collaboration and strong interpersonal skills key parts of the job.

What are the key skills and qualifications needed to thrive as a metadata manager, and why are they important?

To thrive as a Metadata Manager, you need strong expertise in data management, metadata standards, taxonomy, and information architecture, typically supported by a related degree in library science, information management, or computer science. Familiarity with metadata management tools (e.g., Collibra, Informatica), data catalog systems, and knowledge of data governance frameworks is essential. Attention to detail, analytical thinking, and effective communication are critical soft skills for collaborating with stakeholders and ensuring data quality. These skills and qualifications are crucial for organizing, standardizing, and maximizing the value of organizational data assets.

What is the difference between Metadata Manager vs Data Analyst?

AspectMetadata ManagerData Analyst
Required CredentialsBachelor's degree in Information Science, Data Management, or related field; certifications like CDMPBachelor's degree in Statistics, Data Science, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, data governance officesBusiness units, analytics teams, reporting departments
Employer & Industry UsageUsed in organizations with large data repositories, data governance, and compliance needsUsed across industries for data-driven decision making, reporting, and insights

While both roles involve working with data, a Metadata Manager focuses on organizing, maintaining, and ensuring the quality of metadata to improve data accessibility and governance. A Data Analyst interprets data to generate insights and support business decisions. Understanding these differences helps organizations assign the right roles for their data needs.

What are the most commonly searched types of Metadata jobs in Texas?

The most popular types of Metadata jobs in Texas are:

What are popular job titles related to Metadata Manager jobs in Texas?

For Metadata Manager jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Metadata Manager jobs in Texas look for?

The top searched job categories for Metadata Manager jobs in Texas are:

What cities in Texas are hiring for Metadata Manager jobs?

Cities in Texas with the most Metadata Manager job openings:

Infographic showing various Metadata Manager job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $76,094 per year, or $36.6 per hour.

Manager, Data Governance (Austin)

HEB Grocery Company, LP

Austin, TX • On-site

Other

Posted 4 days ago


Job description

Responsibilities
Job Description:
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, compliant, and highly usable data across the organization. You will build and develop high-performing teams while driving the implementation of data governance standards, data architecture alignment, and lifecycle management best practices.
You will partner closely with Product, Engineering, Data Science, Analytics, Security, Compliance, and Business stakeholders to ensure scalable data solutions support operational, analytical, and strict regulatory requirements. This role combines leadership, strategic oversight, and process design to establish enterprise data standards, reduce organizational process debt, and ensure data assets are securely managed as strategic business resources.
The ideal candidate is equally comfortable leading people, influencing strategy, standardizing governance frameworks, and driving initiatives that improve data trust, privacy, and compliance.
What is the work?
Leadership
  • Lead, coach, mentor, and develop a team of data stewards, governance analysts, and data modelers.

  • Foster a culture of accountability, continuous improvement, innovation, and customer-focused delivery.

  • Remove organizational roadblocks and enable teams to effectively execute strategic governance priorities.

  • Establish operational objectives, team roadmaps, work plans, and resource allocation strategies.

  • Drive organizational change through the adoption of standardized governance processes, artifacts, and roles.

  • Serve as a trusted advisor for data management, privacy, security, and architecture initiatives.

Data Governance Standards & Process
  • Define and implement enterprise data governance standards, policies, playbooks, and controls, actively working to reduce organizational process debt.

  • Partner with business and technology leaders to improve data quality, security, stewardship, metadata management, and lifecycle management practices.

  • Establish governance processes that support strict regulatory and compliance requirements including TDPSA, PII, PCI, HIPAA, and other applicable regulations.

  • Drive the adoption of data ownership, stewardship, and accountability across business domains.

  • Develop governance metrics, KPIs, scorecards, and dashboards to measure program effectiveness and data health.

  • Lead enterprise initiatives for data classification, consolidated access management (e.g., schema-level vs. table-level grants), auditing, and continuous monitoring.

  • Collaborate with Security, Compliance, and Privacy teams to identify data risks and implement robust remediation strategies.

Data Modeling & Architecture Alignment
  • Establish enterprise data modeling standards, governance methodologies, and best practices.

  • Lead the governance and oversight of conceptual and logical data models, ensuring alignment with business needs.

  • Provide observability into adherence to standards and progress.

Data Context Management
  • Promote consistent data definitions and comprehensive business glossaries across business domains.

  • Champion source-of-truth alignment, data reuse, and the systematic reduction of data duplication.

  • Oversee the publication and maintenance of enterprise data dictionaries and provide strict guidance to engineering teams on modeling standards.

  • Drive the governance aspects of modern data architecture patterns, including Data Warehouse, Data Lake, Data Mesh, and Master Data Management.

Governance Enablement & Quality Operations
  • Establish standards for data quality monitoring, metadata integration, and automated access controls.

  • Oversee the implementation and administration of enterprise data catalogs and unified governance platforms.

  • Influence enterprise-wide technology decisions to ensure tools natively support compliance and data lifecycle management requirements.

  • Provide observability into adherence to standards and progress.

Required Qualifications
  • Bachelor's degree in Information Systems, Business Administration, Data Management, or a related field. Equivalent experience considered.

  • 5+ years of experience in data governance, data management, data architecture, or data compliance.

  • 3+ years of people leadership experience managing data governance or analytical teams.

  • Strong experience implementing enterprise data governance frameworks, operating models, and data catalogs.

  • Deep understanding of data privacy, security, and compliance regulations (e.g., TDPSA, PCI-DSS, HIPAA).

  • Experience with data governance disciplines including:

  • Data Quality & Observability

  • Metadata Management & Business Glossaries

  • Data Stewardship & Ownership Models

  • Data Security & Access Management

  • Data Lifecycle Management

  • Familiarity with data modeling methodologies (Entity Relationship, Dimensional, Master Data Management).

  • Foundational SQL proficiency to query metadata, audit logs, or perform basic data quality profiling.

  • Proven ability to influence and negotiate with stakeholders across both technical engineering and business organizations.

Preferred Qualifications
  • Retail or large-scale enterprise experience.

  • Hands-on experience with modern unified governance platforms (e.g., Databricks Unity Catalog, Collibra, Alation, Microsoft Purview).

  • Experience migrating or consolidating data access permissions and roles across enterprise environments.

  • Knowledge of cloud-based data platforms in Azure, AWS, or Google Cloud Platform.

  • Advanced degree or certifications in Data Governance, Privacy (CIPP), or Data Management (CDMP).