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Metadata Manager Jobs in Minnesota (NOW HIRING)

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · On-site

$108K - $146K/yr

Define policies for metadata management, classification, lineage, quality scoring, and stewardship * Enable enterprise governance across catalogs, glossaries, access patterns, and regulatory ...

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · Remote

$108K - $146K/yr

Define policies for metadata management, classification, lineage, quality scoring, and stewardship * Enable enterprise governance across catalogs, glossaries, access patterns, and regulatory ...

RELX

AI Data Analyst

Minneapolis, MN

This role focuses on data readiness, quality, metadata, and governance, helping teams understand how to structure, document, and manage their data so it can be safely and effectively used by AI ...

ITR Group

Digital Product Owner

Minneapolis, MN · On-site

Improve digital asset lifecycle management, including asset creation, approval, storage, governance, distribution, and archival. * Define metadata standards, taxonomy, tagging strategies, and search ...

Tactile Medical

Data Architect

Minneapolis, MN · On-site

$66.50 - $85.50/hr

... metadata management, and appropriate data access • Partner with business and technical stakeholders to translate data needs into scalable architectural solutions • Communicate complex ...

Purple Drive

Informatica EDC/MQ Administrator

Minneapolis, MN · On-site

$55.50 - $73/hr

Proficiency in managing metadata, workflows, and integration with other data management platforms. * Experience with performance tuning, troubleshooting, and production support . * Familiarity with ...

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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 Data Engineer

Senior Data Engineer

UnitedHealth Group

Eden Prairie, MN • On-site

$108K - $146K/yr

Full-time

Retirement

Posted 19 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

189th of 877 rated healthcare providers

Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
  • Data Architecture Strategy & Leadership
    • Define and own the end-to-end enterprise data architecture ensuring scalability, performance, integration, and long-term sustainability
    • Develop and maintain reference architectures, patterns, and standards for data modeling, storage, ingestion, processing, governance, and consumption
    • Align data platforms with business outcomes, regulatory requirements, cloud strategy, and modernization initiatives
    • Evaluate and recommend technologies across SQL/NoSQL databases, data lakes, lake houses, ETL/ELT tools, and compute engines based on enterprise fit
  • Data Modeling & Database Architecture
    • Lead the design of conceptual, logical, and physical data models to support OLTP, OLAP, streaming, and AI workloads. Architect robust database schemas, partition strategies, indexing policies, sharding methods, and storage optimizations
    • Define standards for naming, modeling conventions, normalization/denormalization, and lifecycle management of data assets
    • Provide expert guidance on SQL Server, SQL MI, Azure SQL, PostgreSQL, MongoDB, and other enterprise data platforms
  • Data Platform Design & Implementation
    • Architect and implement cloud-native, hybrid, and on-prem data platforms supporting ingestion, storage, processing, and analytics
    • Design lake house and warehouse environments using Databricks, Synapse, ADF, Delta Lake, and scalable compute layers
    • Build end-to-end data flows covering batch, streaming, ELT pipelines, metadata, lineage, and monitoring
    • Ensure data platforms meet performance, concurrency, high-availability, and disaster recovery requirements
  • Data Governance, Quality & Security
    • Define policies for metadata management, classification, lineage, quality scoring, and stewardship
    • Enable enterprise governance across catalogs, glossaries, access patterns, and regulatory compliance
    • Enforce security controls such as RBAC, encryption, auditing, masking, and network isolation
    • Establish data quality standards including validation rules, anomaly detection, and reconciliation workflows
  • DevOps, Automation & Infrastructure-as-Code
    • Implement infrastructure and data platform provisioning using Terraform/IaC for repeatable deployments
    • Build CI/CD pipelines (GitHub Actions, Azure DevOps) for data models, SQL objects, ETL workflows, and platform components
    • Support containerized workloads using Docker and Kubernetes/AKS
    • Automate environment setup, schema migrations, monitoring, and compliance checks
  • Observability, Performance & Reliability
    • Define performance benchmarks and baselines across storage, computer, SQL, and data movement
    • Optimize SQL/ETL workloads, reduce infrastructure costs, and tune pipelines for high throughput
    • Establish monitoring, alerting, anomaly detection, and reliability playbooks
    • Lead incident triage, RCA, and long-term remediation for platform stability
  • Cross-Functional Collaboration
    • Partner with Product, Engineering, Analytics, Security, and Cloud teams to align data strategy with business goals
    • Translate business requirements into scalable data solutions
    • Provide mentorship and technical leadership to data engineers, DBAs, and architects
  • Innovation & Continuous Improvement
    • Stay current with emerging trends in data modeling, platforms, storage formats, and distributed systems
    • Drive modernization initiatives such as lake house adoption, automation, and cloud-native architecture
    • Refine architecture based on usage insights and business evolution
  • Documentation & Knowledge Sharing
    • Maintain documentation of architectures, data flows, ER diagrams, standards, and decisions
    • Conduct reviews, design sessions, and best-practice workshops
    • Promote organization-wide literacy on governance, modeling, and quality

Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, or IT related field
  • 7+ years of experience in data modeling, database design, and data architecture patterns
  • 7+ years of experience with SQL Server, SQL MI, Azure SQL, PostgreSQL, MongoDB
  • 7+ years of experience in performance tuning, indexing, partitioning, and workload optimization
  • 7+ years of experience with Metadata, lineage, quality, RBAC, encryption, masking, compliance
  • 4+ years of experience with Azure Databricks, Synapse, ADF
  • 4+ years of experience with Terraform, GitHub Actions, DevOps, Kubernetes/AK

Preferred Qualifications:
  • Strong analytical, communication, and leadership skills

*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
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