ZipRecruiter

Log In

1

Metadata Manager Jobs in Minnesota (NOW HIRING)

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 ...

trane technologies

Senior Data Modeler

Minneapolis, MN · On-site

Drive metadata management practices to ensure consistent interpretation of data across systems. * Collaborate with governance stewards and domain owners to ensure metric definition alignment, data ...

next page

Showing results 1-20

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 Jun 14, 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.

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 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 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $79,995 per year, or $38.5 per hour.
Director, Data & Information Architecture

Director, Data & Information Architecture

Pivot Bio

Minnetonka, MN • On-site

$165K - $206K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

About Pivot Bio
Fueled by an innovative drive and a deep understanding of the soil microbiome, Pivot Bio is pioneering game-changing advances in agriculture. Our products harness naturally occurring microbes to provide nutrients to crops, helping farmers improve yields while reducing environmental impact.
Pivot Bio is seeking a Director, Data & Information Architecture to define and steward the enterprise information backbone connecting Product Innovation, Agronomy, Manufacturing, Commercial, and Digital products. This role is responsible for establishing canonical data models, domain boundaries, data contracts, lineage standards, and governance patterns that enable trustworthy, decision-grade data across the enterprise. Unlike traditional platform-focused data architecture roles, this position is centered on information architecture: designing durable semantic models, traceability frameworks, and evidence systems that support product performance analysis, scientific discovery, operational execution, and AI-enabled decision making.
What Success Looks Like
  • Define canonical enterprise data models spanning R&D, Agronomy, Manufacturing, Commercial, and Digital domains.
  • Establish domain ownership, data contracts, lineage, and reconciliation standards.
  • Design logical and physical Lakehouse models supporting Silver and Gold layers.
  • Create traceable, reproducible evidence systems capable of supporting scientific and commercial decision making.
  • Provide a phased architecture roadmap for modernization and migration of existing data assets.
  • Enable trustworthy AI and analytics through strong semantic foundations.

Key Responsibilities
  • Own enterprise information architecture strategy and standards.
  • Design canonical models, master data relationships, and cross-domain integration patterns.
  • Define semantic standards for observations, results, recommendations, outcomes, and evidence.
  • Lead logical and physical data modeling efforts within Databricks Lakehouse.
  • Establish metadata, lineage, versioning, and traceability frameworks.
  • Partner with Product, Engineering, Data Science, Manufacturing, and Commercial teams to translate business requirements into durable data models.
  • Review architecture designs and validate implementations through hands-on modeling, SQL analysis, and proof-of-concept work.
  • Drive data governance practices focused on quality, stewardship, reproducibility, and trust.

Preferred Experience
  • 10+ years in Data Architecture, Information Architecture, or Enterprise Data Modeling.
  • Deep expertise in conceptual, logical, and physical data modeling.
  • Experience with canonical modeling, Data Vault, metadata management, MDM, and lineage.
  • Hands-on experience with Databricks, Snowflake, or modern Lakehouse platforms.
  • Strong SQL skills and ability to validate models directly against data.
  • Experience in regulated, scientific, manufacturing, healthcare, life sciences, or evidence-sensitive environments preferred.
  • Demonstrated ability to balance governance rigor with pragmatic execution.

What We Are Not Looking For
This role is not primarily a cloud infrastructure architect, integration engineer, or BI/reporting architect position. Success requires deep information architecture capability, including semantic modeling, domain design, lineage, traceability, and enterprise data stewardship.
Must be authorized to work in the United States.
What We Offer:
  • Incentive Bonus Plan
  • Competitive package in a disruptive startup
  • Stock options
  • Health/Dental/Vision insurance with employer-paid premiums
  • Life, Short-Term and Long-Term Disability policies
  • Employee Assistance Program with free referrals and discounts
  • 401(k) plan, 3% Match
  • Commuter benefits
  • Annual Training & Development support
  • Flexible vacation policy with a generous holiday schedule
  • Exciting opportunity to work with a talented and fun team

#LI-Onsite
Hiring Compensation Range
$165,000-$206,000 USD

Apply