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Metadata Manager Jobs in Milwaukee, WI (NOW HIRING)

... defect management. • Testing systems that capture, verify, and maintain field-generated metadata. Qualifications : Required : • Insurance domain knowledge is Most • Main Frame Background ...

Google Data Specialist

Milwaukee, WI · On-site

$70K - $196K/yr

Implement metadata management, data quality checks, and lineage tracking using GCP tools (Dataplex, IAM). * Follow best practices for security, identity management, and compliance. * Support ...

Data Architect

Racine, WI · On-site

$59.75 - $77/hr

... data management roadmap c) Establish processes for governing the identification, collection, and use of corporate data assets and metadata; take steps to assure metadata accuracy and validity d ...

This person will work closely with our SEO Manager to identify opportunities to increase our SEO ... metadata optimization and redirects * Work with technology teams to optimize site infrastructure ...

This person will work closely with our SEO Manager to identify opportunities to increase our SEO ... metadata optimization and redirects * Work with technology teams to optimize site infrastructure ...

This person will work closely with our SEO Manager to identify opportunities to increase our SEO ... metadata optimization and redirects * Work with technology teams to optimize site infrastructure ...

... Manage and administer metadata repository Work with development staff, business analysts, subject matter expert and conduct JAD sessions to identify and resolve business data requirements and/or data ...

Senior Software Engineer

Milwaukee, WI · On-site

$120K - $158K/yr

... metadata practices (Glue Data Catalog, Data Hub/Amundsen or equivalent). • Implement robust ... management (CloudWatch, Prometheus, Grafana, structured logging, tracing). • Excellent ...

Job Summary: Under the direction of the Regulatory and Quality Systems Manager, the Document ... metadata (document number, title, owner, revision, effective date, status). · Ensure current ...

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Metadata Manager information

See Milwaukee, WI salary details

$27.1K

$80.5K

$135.5K

How much do metadata manager jobs pay per year?

As of Jul 17, 2026, the average yearly pay for metadata manager in Milwaukee, WI is $80,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,300.00 and $114,800.00 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 popular job titles related to Metadata Manager jobs in Milwaukee, WI? For Metadata Manager jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Metadata Manager jobs in Milwaukee, WI look for? The top searched job categories for Metadata Manager jobs in Milwaukee, WI are:
Data Architect

$56.50 - $72.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Charter Manufacturing is a fourth-generation family-owned business where our will to grow drives us to do it better. Join the team and become part of our family!
Applicants must be authorized to work for ANY employer in the U.S. Charter Manufacturing is unable to sponsor for employment visas at this time.
This position is hybrid, 3 days a week in office in Mequon, WI.
Data Architect
Position Purpose / Mission
Help shape the future of data across a digitally evolving manufacturing enterprise.
As our Enterprise Data Architect, you will define and drive the data strategy that powers business intelligence, operational excellence, advanced analytics, automation, and emerging AI capabilities. This highly visible role sits at the intersection of business and technology, partnering closely with leaders across Digital, Operations, Supply Chain, and Finance to create scalable, trusted, and accessible data solutions.
You will architect modern data platforms and integration strategies that connect manufacturing systems, ERP platforms, cloud technologies, and analytical applications into a cohesive enterprise ecosystem. Through your leadership, the organization will gain the trusted data foundation needed to accelerate innovation, improve decision-making, and unlock the value of AI and data-driven transformation.
This is an exciting opportunity for a strategic thinker who enjoys solving complex challenges, influencing enterprise technology direction, and building the data capabilities that will shape the future of the business.
Why This Role Matters
  • Influence enterprise-wide data strategy and architecture decisions.
  • Drive modernization initiatives across cloud, analytics, and AI-enabled platforms.
  • Partner directly with business leaders to solve meaningful operational challenges.
  • Design scalable solutions that impact manufacturing, supply chain, finance, and customer-facing processes.
  • Establish the foundation for advanced analytics, automation, machine learning, and AI adoption.
  • Mentor and guide technical teams while promoting modern architecture best practices.

What You'll Bring
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related discipline; equivalent experience will also be considered.
  • 6+ years of experience in Data Architecture, Data Engineering, Data Integration, Analytics Architecture, or enterprise-scale data platform design.
  • Proven success designing enterprise data ecosystems that support both operational and analytical workloads.
  • Strong understanding of modern data modeling techniques, including normalized, dimensional, canonical, and domain-driven approaches.
  • Experience establishing governance practices that improve data quality, lineage, security, and trust.
  • Hands-on knowledge of cloud data technologies, data warehouses, data lakes, APIs, and integration frameworks.
  • Demonstrated ability to translate complex business requirements into scalable technical solutions.
  • Exceptional communication skills with the ability to influence stakeholders across both technical and non-technical audiences.
Preferred Qualifications
  • Experience within manufacturing, supply chain, industrial technology, or ERP-centric environments.
  • Oracle EBS experience preferred.
  • Experience with Azure Data Services, Snowflake, Databricks, PySpark, SQL, Python, Tableau, Power BI, Alteryx, Kafka, CDC, and event-driven architectures.
  • Exposure to AI/ML platforms, predictive analytics, Industrial IoT, and enterprise data governance programs.
  • Experience leading data modernization or digital transformation initiatives at scale.

Key Responsibilities
Enterprise Data Strategy & Architecture
  • Design and evolve enterprise data architecture that supports business growth, analytics, automation, and AI initiatives.
  • Establish scalable patterns for data ingestion, integration, storage, transformation, and consumption across hybrid cloud and on-premises environments.
  • Define architectural standards for APIs, ETL/ELT, streaming, CDC, event-driven solutions, and reusable data products.
Data Governance & Platform Excellence
  • Champion enterprise standards for data quality, lineage, metadata management, security, and compliance.
  • Develop trusted, governed data assets that improve consistency, reliability, and accessibility across the organization.
  • Guide the adoption of modern architecture principles and best practices across data teams.
Analytics, AI & Innovation
  • Enable advanced manufacturing and operational analytics, including predictive maintenance, supply chain visibility, operational intelligence, and AI-ready data solutions.
  • Partner with analytics, engineering, and business teams to accelerate self-service reporting, data science, and machine learning initiatives.
  • Help define the future-state architecture that supports emerging AI and automation capabilities.
Leadership & Collaboration
  • Facilitate architecture reviews and strategic planning sessions that align business objectives with technology solutions.
  • Collaborate with cross-functional teams to solve complex technical challenges and drive enterprise consistency.
  • Mentor technical professionals, share best practices, and foster a culture of innovation and continuous improvement.
  • Communicate architectural vision and recommendations effectively to executives, business leaders, and technical stakeholders.

What Makes This Opportunity Unique
This role offers a rare opportunity to influence enterprise strategy while remaining hands-on with modern data technologies. You'll help build the foundation for next-generation analytics and AI capabilities, partner with leaders across the organization, and play a critical role in the company's ongoing digital transformation journey.
The ideal candidate is energized by creating order from complexity, connecting technology to business outcomes, and building data ecosystems that drive meaningful impact.
We offer comprehensive health, dental, and vision benefits, along with a 401(k) plan that includes employer matching and profit sharing. Additionally, we offer company-paid life insurance, disability coverage, and paid time off (PTO).