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Metadata Manager Jobs in Minnesota (NOW HIRING)

Artius Solutions

Data Governance Lead

Minneapolis, MN · On-site

$105 - $112/hr

Experience with data stewardship, metadata management, and policy creation * Strong communication and stakeholder management skills * Experience working with cross-functional business and technical ...

Diversity Nexus

Senior Data Architect

Minneapolis, MN · On-site

$70.25 - $94/hr

Metadata Management: Design, support, and manage data dictionaries, metadata repositories, and common entities to ensure consistent use and definition of data. * Data Quality: Drive the standards for ...

Artius Solutions

Data Governance Lead

Minneapolis, MN · On-site

Experience with data stewardship, metadata management, and policy creation * Strong communication and stakeholder management skills * Experience working with cross-functional business and technical ...

Deloitte

Manager

Morristown, MN · On-site

... metadata management, semantic layers, and domain-driven data product strategies * Bachelor's degree * Ability to travel 50%, on average, based on the work you do and the clients and industries ...

Legrand AV, Inc.

MDM Lead Architect

Eden Prairie, MN · On-site

Strong knowledge of metadata management, MDM, and data quality processes * Experience with cloud data platforms (Azure preferred) Preferred Skills: * Hands-on experience with Stibo Systems MDM (or ...

Volto USA

Content Management Developer

Minneapolis, MN · On-site

$128K - $133K/yr

... HaveExperience with Adobe Experience Manager (AEM)Basic knowledge of HTML| CSS| or ... DAM) Metadata schemas, controlled vocabularies, taxonomies Folder structures, asset lifecycle ...

Argyle Infotech

Health Data Architect

Greenwald, MN · On-site

$64 - $82.50/hr

Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, MDM, Data Archival and Data Migration strategies using appropriate tools. * Hands-on experience with ET ...

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All JobsMetadata Manager JobsMetadata Manager Jobs in Minnesota

Metadata Manager information

See Minnesota salary details

$26.9K

$80K

$134.7K

How much do metadata manager jobs pay per year?

As of Jul 5, 2026, the average yearly pay for metadata manager in Minnesota is $79,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $114,100.00 per year, depending on experience, location, and employer.

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 is the best metadata manager?

A good metadata manager for a Metadata Manager role typically includes tools like Apache Atlas, Collibra, or Informatica, which help organize, govern, and maintain metadata across data systems. Proficiency in data governance, understanding of metadata standards, and experience with these platforms are essential for effective management.

What kind of jobs in media bring in $150,000 a year?

In media, high-paying roles such as senior media managers, media directors, or executive positions often earn $150,000 or more annually. These roles typically require extensive experience, strong leadership skills, and proficiency with industry tools like media planning software and data analysis. Compensation varies based on company size, location, and individual expertise.

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 does a metadata manager do?

A metadata manager is responsible for organizing, maintaining, and ensuring the accuracy of metadata, which is data that describes other data within an organization. They often work with data management tools, set standards for metadata quality, and collaborate with IT and data teams to improve data accessibility and consistency.

What jobs in the US pay 300,000 a year?

For a Metadata Manager, high salaries of $300,000 or more are uncommon and typically found in executive or senior-level roles within large organizations. Such compensation may be achieved through senior management positions, specialized expertise, or in industries like technology or finance, often requiring advanced skills, certifications, and extensive experience. Most roles in metadata management tend to have lower salary ranges, but top executives or consultants can reach or exceed this level.

What are Metadata Managers?

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.
What are the most commonly searched types of Metadata jobs in Minnesota? The most popular types of Metadata jobs in Minnesota are:
What are popular job titles related to Metadata Manager jobs in Minnesota? For Metadata Manager jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Metadata Manager jobs in Minnesota look for? The top searched job categories for Metadata Manager jobs in Minnesota are:
What cities in Minnesota are hiring for Metadata Manager jobs? Cities in Minnesota with the most Metadata Manager job openings:
Metadata Manager jobs near you
Infographic showing various Metadata Manager job openings in Minnesota as of June 2026, with employment types broken down into 2% As Needed, 7% Full Time, 81% Part Time, 2% Temporary, 7% Contract, and 1% Nights. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $79,995 per year, or $38.5 per hour.
Senior Artificial Intelligence Data Engineer

Senior Artificial Intelligence Data Engineer

Vizient

Minneapolis, MN

$110K - $150K/yr

Full-time

Posted 25 days ago

Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary

In this role, you will help build and enhance a modern, AI-ready data enablement platform that supports cross-domain analytics, governed data products, and reusable engineering patterns across the enterprise. You will enable data producers and analytics teams through guided pathways, reusable accelerators, metadata-driven frameworks, CI/CD patterns, Databricks Asset Bundles, dbt transformation standards, Unity Catalog governance, and Starburst/Trino analytical access. You will focus on helping teams create trusted, governed, reusable, and AI-ready derivative data products that support analytics, reporting, GenAI, semantic search, and emerging agentic platform use cases. As a hands-on senior individual contributor, you will combine platform engineering, data transformation, governance, and enablement to drive scalable and repeatable data product delivery across the organization.

Responsibilities

  • Build and support scalable data engineering solutions using Azure Databricks, PySpark, SQL, Delta Lake, Azure Data Factory, dbt, and Unity Catalog.
  • Improve metadata-driven Azure Data Factory and Databricks patterns for orchestration, configuration, monitoring, restartability, and operational support.
  • Develop reusable accelerators including CI/CD templates, Databricks Asset Bundle patterns, deployment automation, environment configuration, and data product onboarding templates.
  • Design, develop, and support dbt models, macros, tests, documentation, and transformation standards for governed analytical data products.
  • Provide guidance on appropriate technology selection and implementation patterns across dbt, Databricks notebooks and workflows, Delta Live Tables, Spark, and Starburst/Trino.
  • Support cross-domain analytics initiatives by transforming source-refined data into trusted, reusable, business-aligned derivative data products.
  • Leverage Unity Catalog to establish and support governed catalogs, schemas, tables, lineage, access controls, naming standards, and certification practices.
  • Support Starburst/Trino as an analytical and federated query layer for governed enterprise data consumption.
  • Apply Azure DevOps, Git, CI/CD, and Infrastructure as Code (IaC) practices to create repeatable, testable, and environment-aware platform delivery processes.
  • Troubleshoot and resolve production issues related to orchestration, transformations, data quality, access management, query performance, deployments, and operational workflows.
  • Collaborate with data engineering, analytics, platform, governance, and business teams to establish reusable, scalable, and supportable data engineering patterns.
  • Contribute to the evolution of enterprise data engineering standards, governance practices, observability capabilities, and AI-ready data product frameworks.

Qualifications

  • Relevant degree preferred.
  • 5 or more years of hands-on data engineering experience building production-grade data platforms, pipelines, or analytical data products required.
  • Strong experience with Azure Databricks, PySpark, Spark SQL, Delta Lake, Azure Data Factory, SQL, and dbt required.
  • Experience with Azure DevOps, Git, pull request workflows, CI/CD pipelines, and release management practices required.
  • Working knowledge of lakehouse architecture, metadata management, data governance, lineage, access control, and operational support required.
  • Demonstrated ability to function as a senior individual contributor with strong ownership, technical judgment, and cross-functional collaboration skills required.
  • Experience supporting enterprise-scale analytical platforms and governed data product delivery preferred.
  • Experience with Unity Catalog, Starburst/Trino, Pulumi or other Infrastructure as Code tools, Databricks Asset Bundles, Apache Iceberg concepts, and AKS/Kubernetes-based platform operations preferred.
  • Experience building reusable frameworks, accelerators, templates, or platform capabilities for engineering teams preferred.
  • Experience preparing governed structured data for AI/ML, GenAI, Retrieval-Augmented Generation (RAG), semantic search, copilots, or agentic workflows preferred.
  • Experience within healthcare, analytics, supply chain, finance, or other regulated enterprise environments preferred.
  • Strong problem-solving, communication, and collaboration skills with the ability to influence technical direction and establish best practices preferred.
  • You must be authorized to work in the United States without sponsorship.

#LI-JB1

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

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