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Metadata Analyst Jobs in Wisconsin (NOW HIRING)

Develop and maintain accuracy of equipment metadata by regularly collecting and inputting ... Works with corporate EAM Business Analysts to roll out new functionality, standard object coding ...

Data Architect

Racine, WI · On-site

$67/hr

Establish architectural principles for data quality, security, governance, metadata management, and master data management. * Lead the architecture and design of enterprise reporting and analytics ...

SalesForce Architect

Milwaukee, WI

$68 - $84.25/hr

Experience in analyzing and reviewing technical architecture and coming up with architecture ... using Metadata API, Change Set and Ant. * Best Practices understanding on Coding Standards ...

... analytic maturity. Provides expert-level leadership across conceptual, logical, and physical ... metadata and data flow documentation. Ensures data models adhere to healthcare security and ...

... using Metadata API, ChangeSet, and Ant. * Best Practices understanding on Coding Standards ... Analytical skills * Experience and desire to work in a Global delivery environment Qualifications

Showing results 41-60

Metadata Analyst information

See Wisconsin salary details

$31.3K

$73.9K

$131.2K

How much do metadata analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for metadata analyst in Wisconsin is $73,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $87,800.00 per year, depending on experience, location, and employer.

What is a metadata analyst?

A Metadata Analyst is responsible for organizing, managing, and maintaining metadata—structured information about data—within an organization. They ensure that data assets are accurately categorized, labeled, and accessible, improving searchability and data governance. Their role often involves working with databases, content management systems, and metadata standards to enhance data quality and consistency. Additionally, they collaborate with IT, data management, and business teams to ensure metadata aligns with organizational goals.

What are some typical challenges a metadata analyst might face in their daily work?

Metadata Analysts often encounter challenges such as managing large volumes of diverse data, ensuring metadata consistency across multiple systems, and navigating evolving data privacy regulations. Staying current with industry standards and adapting metadata frameworks to support new business needs can also be demanding. Working closely with IT, data governance, and business teams, Metadata Analysts must balance competing priorities and address data quality issues proactively. Overcoming these challenges helps enhance data findability, compliance, and overall organizational efficiency.

What are the key skills and qualifications needed to thrive as a metadata analyst, and why are they important?

To thrive as a Metadata Analyst, a solid understanding of data management, database concepts, metadata standards, and a degree in information science, library science, or a related field is key. Familiarity with metadata management tools, data cataloging platforms, and systems like SQL, XML, and DAM (Digital Asset Management) systems, as well as certifications such as Certified Data Management Professional (CDMP), are often beneficial. Strong attention to detail, analytical thinking, and effective communication are essential soft skills that help with collaborating across departments. These combined skills ensure data is accurately organized, discoverable, and valuable for organizational decision-making and compliance.

What does a metadata analyst do?

A metadata analyst is responsible for organizing, managing, and ensuring the accuracy of metadata, which is data that describes other data. They often work with data management tools, perform quality checks, and develop standards to improve data retrieval and usability within organizations.
What are the most commonly searched types of Metadata Analyst jobs in Wisconsin? The most popular types of Metadata Analyst jobs in Wisconsin are:
What are popular job titles related to Metadata Analyst jobs in Wisconsin? For Metadata Analyst jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Metadata Analyst jobs in Wisconsin look for? The top searched job categories for Metadata Analyst jobs in Wisconsin are:
Infographic showing various Metadata Analyst job openings in Wisconsin as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 9% Part Time, 1% Temporary, and 6% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $73,946 per year, or $35.6 per hour.

VP of Enterprise Data, Analytics & AI

TIDI Products

Neenah, WI • On-site, Remote

Full-time

Re-posted 25 days ago


Job description

We are hiring a VP of Enterprise Data Analytics and AI!!

The Vice President of Enterprise Data, Analytics & AI is responsible for building TIDI's enterprise data foundation and advancing the analytics and AI capabilities it enables. This leader owns enterprise data strategy, governance, architecture, business intelligence, advanced analytics, data science, and the Databricks analytics platform.

The role will ensure internal and external data are trusted, connected, secure, and reusable so TIDI can move from retrospective reporting to predictive insight, intelligent automation, machine learning, and future AI-enabled decision support. In partnership with Technology Services, this leader will establish the integration and MCP frameworks that allow approved AI models, agents, applications, and workflows to access governed enterprise data.

This role is focused on data, platforms, analytics, and AI data foundations.

This position can work remotely with in the US, but must be willing to come into any of our locations, as needed.
ESSENTIAL DUTIES AND RESPONSIBILITIES:

Execute TIDI's enterprise data, analytics, and AI data-foundation strategy and multi-year roadmap.
Lead the Business Intelligence team and build capabilities across data engineering, advanced analytics, data science, and machine learning.
Establish, scale, and govern the enterprise data and analytics platform in Databricks.
Design an AI-ready architecture for structured and unstructured data, including reusable data products, semantic models, metadata, lineage, and business context.
Establish standards for data quality, master data, governance, security, privacy, access, retention, observability, and regulatory compliance.
Ensure data is prepared, governed, and accessible for reporting, predictive models, AI agents, retrieval, and automated workflows.
Partner with Technology Services to implement MCP and other secure integration patterns connecting enterprise data, systems, analytical tools, models, and workflows.
Relentlessly identify, evaluate, acquire, and integrate external data assets that improve market, customer, clinical, commercial, operational, and competitive decision-making.
Build a portfolio of high-value analytics, data science, machine learning, and AI use cases tied to measurable business outcomes.
Automate recurring data preparation, reporting, analysis, insight generation, and decision-support processes.
Establish model and analytical governance, including validation, explainability, monitoring, performance, lifecycle management, and human oversight.
Partner with business leaders to translate strategic questions into trusted data products, models, insights, and decisions.
Define and monitor value, adoption, data quality, platform reliability, speed to insight, model performance, and reuse of analytical assets.
Build, energize, and retain a high-performing, AI-enabled team that uses modern tools to increase speed, quality, and capacity.
Manage data providers, technology partners, consultants, contracts, licenses, budgets, and platform investments.

CORE VALUES & GUIDING PRINCIPLES:

Understands internal and external customers
Assure a safe work environment
Encourage individual development
Demonstrates teamwork and flexibility/adaptability
Demonstrates honesty
Keep our commitments
Think systemically and ensure constancy of purpose
Lead with humility and respect every individual
Focus on process, embrace scientific thinking, flow and pull value, assure quality at the source and seek perfection

EDUCATION & EXPERIENCE:

Advanced degree in a relevant technical field.
12+ years of leadership experience across technology, engineering, digital product delivery, or AI-enabled transformation.
Proven ability to lead cross-functional teams in delivering enterprise technology solutions.
Experience using AI, automation, and modern engineering practices to improve business and delivery outcomes.

QUALIFICATIONS:

Strong knowledge of agile delivery, software engineering, release management, quality practices, and governance.
Executive-level communication skills and the ability to influence senior stakeholders.
Track record of building high-performing teams and delivering results in complex, regulated environments.
Experience with ERP-connected operations, quality systems, and responsible AI practices.
Strong financial and vendor management acumen.
About TIDI Products...
TIDI Products is a market leading manufacturing of disposable infection prevention products and patient safety products, headquartered in Neenah, WI. We have manufacturing and distribution facilities in Neenah, WI, Newport News, VA, Norristown, PA, Littlestown, PA, United Kingdom and, Tijuana, MX and office space in Lincolnshire, IL. TIDI provides best in class products and service to major healthcare products distributors and users worldwide.


We Support Care Givers and Protect Patients!!
Disability Accommodation
For individuals with disabilities that need additional assistance at any point in the application and interview process, please email WIHR@tidiproducts.com or call 920-751-4300 x 4044.
Equal Opportunity Employer
TIDI Products is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, family.