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Metadata Manager Jobs in Minneapolis, MN (NOW HIRING)

Boston Scientific

Data Product Manager

Maple Grove, MN · Hybrid

Ensure enterprise data assets are AI-ready by improving data quality, metadata, lineage, governance, master data management, and semantic consistency, including management of semantic models across ...

Boston Scientific

Data Product Manager

Maple Grove, MN · On-site

Ensure enterprise data assets are AI-ready by improving data quality, metadata, lineage, governance, master data management, and semantic consistency, including management of semantic models across ...

Boston Scientific

Data Product Manager

Maple Grove, MN · Hybrid

Ensure enterprise data assets are AI-ready by improving data quality, metadata, lineage, governance, master data management, and semantic consistency, including management of semantic models across ...

Medtronic

Information & Data Architect

Fridley, MN · On-site

$65.75 - $84.50/hr

Experience with data cataloging, metadata management, master data management (MDM), data stewardship, and data governance frameworks. * Familiarity with HIPAA, FDA software lifecycle processes ...

Medtronic

Information & Data Architect

Fridley, MN · On-site

$65.75 - $84.50/hr

Experience with data cataloging, metadata management, master data management (MDM), data stewardship, and data governance frameworks. * Familiarity with HIPAA, FDA software lifecycle processes ...

Medtronic

Information & Data Architect

Fridley, MN · On-site

$65.75 - $84.50/hr

Experience with data cataloging, metadata management, master data management (MDM), data stewardship, and data governance frameworks. * Familiarity with HIPAA, FDA software lifecycle processes ...

Federal Reserve Bank of Richmond

Data Architect

Minneapolis, MN · On-site +1

$66.50 - $85.50/hr

Experience with data catalog and metadata management platforms. * Familiarity with economic datasets or research data environments. * Experience supporting public data access or research-oriented ...

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Metadata Manager information

See Minneapolis, MN salary details

$28.7K

$85.3K

$143.5K

How much do metadata manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for metadata manager in Minneapolis, MN is $85,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,200.00 and $121,600.00 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 Minneapolis, MN?

The most popular types of Metadata jobs in Minneapolis, MN are:

What are popular job titles related to Metadata Manager jobs in Minneapolis, MN?

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

What job categories do people searching Metadata Manager jobs in Minneapolis, MN look for?

The top searched job categories for Metadata Manager jobs in Minneapolis, MN are:

Metadata Manager jobs near you
Infographic showing various Metadata Manager job openings in Minneapolis, MN as of August 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 73% In-person, 11% Hybrid, and 16% Remote job distribution, with an average salary of $85,263 per year, or $41 per hour.

Senior Healthcare Data Modeler

Techvilla Solutions

Mound, MN • On-site

Full-time

Posted 4 days ago

Job description

Primary Responsibilities
  • Design and implement enterprise data models and data architecture for large, complex healthcare systems.
  • Translate business and technical requirements into scalable data models and end-to-end data solutions.
  • Develop data strategies, roadmaps, and data management solutions supporting analytics and enterprise reporting.
  • Design normalized OLTP, OLAP, MDM, and dimensional models, including Star schemas, SCDs, role-playing dimensions, hierarchies, and data classification.
  • Develop and review complex SQL queries, stored procedures, DDL, DML, and DCL using ANSI standards.
  • Optimize SQL queries and analyze database performance.
  • Define and implement data quality, profiling, governance, security, metadata management, MDM, archival, and migration strategies.
  • Ensure compliance with healthcare data security and privacy requirements, including HIPAA, PHI, and PII.
  • Collaborate with Data Managers, Data Integration Leads, Data Engineers, and business stakeholders.
  • Provide technical leadership, problem-solving, presentations, and recommendations for complex data initiatives.
Required Skills & Qualifications
  • 8+ years of experience in Data Modeling, Data Architecture, or Data Management.
  • 5+ years of hands-on experience with Erwin Data Modeler.
  • 5+ years of experience working with healthcare data and healthcare information systems.
  • Strong experience with Medicaid, Medicare, and Commercial healthcare datasets; Medicaid experience is highly preferred.
  • 7+ years of advanced SQL experience, including complex queries, stored procedures, DDL, DML, DCL, and query optimization.
  • Strong expertise in OLTP, OLAP, MDM, and dimensional data modeling.
  • Experience with Star schemas, Slowly Changing Dimensions (SCD), role-playing dimensions, dimensional hierarchies, and data classification.
  • Strong knowledge of Data Governance, Data Quality, Data Profiling, Data Security, Metadata Management, MDM, Data Archival, and Data Migration.
  • Strong understanding of HIPAA, PHI, PII, and healthcare data privacy/security requirements.
  • Excellent problem-solving, communication, influencing, presentation, and stakeholder management skills.
  • Ability to work independently and take ownership of complex data initiatives.
Preferred Skills
  • Experience with Microsoft Azure data services, including Azure Data Lake Storage, Azure Data Factory, Microsoft Purview, and Azure Maps.
  • Experience with Snowflake.
  • Experience with Power BI or Tableau.
  • Experience designing and implementing large-scale healthcare data warehouse and analytics solutions.

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