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Metadata Manager Jobs in Wisconsin (NOW HIRING)

Kiongroup

Senior AI Context Engineer

Wauwatosa, WI · Hybrid

$134K - $179K/yr

Implement metadata management capabilities including cataloging, lineage, observability, and automated data quality checks. * Apply DataOps principles including CI/CD, automated testing, and ...

Kiongroup

Senior AI Context Engineer

Wauwatosa, WI · Hybrid

$134K - $179K/yr

Implement metadata management capabilities including cataloging, lineage, observability, and automated data quality checks. * Apply DataOps principles including CI/CD, automated testing, and ...

Wisconsin

Data Governance Program Manager

Madison, WI · On-site +1

FAIR data principles and metadata standards * Data integration and entity resolution/data linkage ... Biomedical and clinical research data management, Multimodal data environments including clinical ...

ABC Supply Co.

Data Architect (954)

Beloit, WI · On-site

$62.25 - $80.25/hr

Metadata, Taxonomy, and Lineage Architecture * AI-Ready Data Foundations You will serve as the enterprise steward for data architecture and information management, partnering with value streams to ...

Tiger Analytics

WI · On-site

Drive end-to-end solution architecture across cloud data platforms, including data lakes, lakehouses, enterprise data warehouses, streaming platforms, metadata management, governance, and analytics ...

Tiger Analytics

WI · On-site

$180 - $240/hr

Drive end-to-end solution architecture across cloud data platforms, including data lakes, lakehouses, enterprise data warehouses, streaming platforms, metadata management, governance, and analytics ...

Associated Bank - Corp

Knowledge Engineer

Milwaukee, WI · On-site

... metadata management, lineage, and data quality initiatives. * Neo4j Certified Professional certification. * SnowPro Advanced certification. Why You'll Love Working Here At Associated Bank, you'll ...

Princeton IT Services

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

Familiarity with data governance, metadata management, and data quality practices * Excellent communication and stakeholder management skills Preferred Qualifications * Experience with large-scale ...

慨正橡扯

WI · On-site

$140 - $210/hr

Apply strong knowledge of data governance concepts including data ownership, data quality, lineage, metadata, control design, and issue management * Influence senior stakeholders and build alignment ...

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All JobsMetadata JobsMetadata Manager JobsMetadata Manager Jobs in Wisconsin

Metadata Manager information

See Wisconsin salary details

$27.8K

$82.4K

$138.8K

How much do metadata manager jobs pay per year?

As of Aug 4, 2026, the average yearly pay for metadata manager in Wisconsin is $82,440.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $117,600.00 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 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.
What are the most commonly searched types of Metadata jobs in Wisconsin? The most popular types of Metadata jobs in Wisconsin are:
What are popular job titles related to Metadata Manager jobs in Wisconsin? For Metadata Manager jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Metadata Manager jobs in Wisconsin look for? The top searched job categories for Metadata Manager jobs in Wisconsin are:
What cities in Wisconsin are hiring for Metadata Manager jobs? Cities in Wisconsin with the most Metadata Manager job openings:
Metadata Manager jobs near you
Infographic showing various Metadata Manager job openings in Wisconsin as of July 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, 17% Hybrid, and 33% Remote job distribution, with an average salary of $82,440 per year, or $39.6 per hour.

Senior AI Context Engineer

Kiongroup

Wauwatosa, WI • Hybrid

$134K - $179K/yr

Other

Re-posted 14 days ago

Job description

We are seeking a highly experienced Semantic Context Data & AI Engineer to help evolve our Enterprise Data Platform into an AI-native, context-aware ecosystem. This role focuses on engineering semantic layers, certified KPI frameworks, metadata systems, and AI-ready data abstractions that enable trusted analytics and reliable AI consumption.
This is a hands-on senior/principal-level engineering role requiring deep expertise in cloud data engineering, semantic modeling, and AI-oriented data platform design. The ideal candidate combines strong technical execution skills with architectural thinking and cross-functional collaboration.We offer:
  • Career Development
  • Competitive Compensation and Benefits
  • Pay Transparency
  • Global Opportunities

Learn More Here:https://www.dematic.com/en-us/about/careers/what-we-offer

Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

The base pay range for this role is estimated to be $134,250.00 - $179,000.00 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge and skills.

Tasks and Qualifications:

This is What You Will do in This Role:

  • Design and implement enterprise semantic models and certified KPI layers to ensure trusted, reusable business metrics.
  • Build AI-safe data abstraction layers that prevent metric recomputation and ensure consistency across analytics and AI use cases.
  • Develop and enforce data contracts, metadata standards, and semantic governance frameworks across domains.
  • Engineer scalable batch and real-time streaming data pipelines in a modern cloud environment (GCP preferred).
  • Collaborate with AI/ML teams to design reliable grounding strategies for AI applications and agents.
  • Implement metadata management capabilities including cataloging, lineage, observability, and automated data quality checks.
  • Apply DataOps principles including CI/CD, automated testing, and deployment automation for data products.
  • Support domain-oriented and microservices-based data architecture patterns.
  • Mentor engineers and promote best practices in semantic modeling, governance, and AI-ready platform design.

What We are Looking For:

  • 10-15+ years of experience in enterprise-scale cloud data engineering and distributed systems.
  • Strong hands-on experience building modern data platforms in GCP (BigQuery, Dataform, Pub/Sub, Composer/Airflow, Cloud Run).
  • Deep expertise in SQL, Python, and data modeling (dimensional modeling, lakehouse architectures).
  • Experience with open-source tech stack such as Iceberg, Trino, Kubernetes, Docker etc.
  • Hands-on experience with metadata management, lineage tracking, observability, and data quality frameworks.
  • Experience building both batch and real-time streaming data systems.
  • Strong understanding of semantic modeling, business metric governance, and AI consumption patterns.

What Will Set You Apart:

  • Experience with Data Mesh or domain-driven data architecture.
  • Exposure to AI/LLM integration patterns including Retrieval-Augmented Generation (RAG).
  • Supply chain background

Location & Authorization:This is a hybrid role requiring proximity to one of our U.S. offices (Atlanta GA, Grand Rapids MI, Milwaukee WI).Applicants must be authorized to work in the U.S. without the need for current or future sponsorship.

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