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Master Data Governance Jobs in Wisconsin (NOW HIRING)

htna

Master Data Analyst

Milwaukee, WI

Master Data Governance & Stewardship * Support and coordinate North America master data governance activities across key domains (e.g., Customer, Product, Vendor, Material, Location). * Partner with ...

Quanex

Manager, Data Governance

Rice Lake, WI

Govern master and reference data within ERP platforms, including SAP and Oracle * Define and maintain the enterprise data governance framework, including policies, standards, and operating procedures

htna

Enterprise Data Reporting Manager

Milwaukee, WI · On-site

The Manager, Enterprise Data & Reporting leads a team of analysts and developers responsible for enterprise business intelligence, master data governance, and data quality across North America.

trane technologies

Data Governance Analyst

La Crosse, WI · On-site

Bachelor's or Master's degree in Analytics, Data Science, Library & Information Science, Computer Science, or a related field * 3+ years of professional experience in analytics, data governance, data ...

Pwc

Data Governance- Manager

Milwaukee, WI · On-site

$99K - $232K/yr

... Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this ...

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How much do master data governance jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for master data governance in Wisconsin is $55.29, according to ZipRecruiter salary data. Most workers in this role earn between $41.01 and $67.69 per hour, depending on experience, location, and employer.

What is Master Data Governance?

Master Data Governance refers to the processes, policies, standards, and tools used to ensure the accuracy, consistency, and security of an organization's critical data—often called 'master data.' This includes information about customers, products, suppliers, and other key business entities. Effective master data governance helps organizations avoid data duplication, inconsistencies, and errors, resulting in improved decision-making and operational efficiency. It typically involves collaboration across business units and relies on both technology and strong data stewardship practices.

Will AI replace data governance?

AI can automate certain data governance tasks such as data quality monitoring and policy enforcement, but it cannot fully replace the role of a Master Data Governance professional. Human oversight is essential for setting policies, ensuring compliance, and managing complex data issues that require judgment and contextual understanding.

What does master data governance mean?

Master Data Governance (MDG) is a set of policies, processes, and standards used by data governance professionals to ensure the accuracy, consistency, and security of an organization's critical data assets. It involves defining data ownership, establishing data quality rules, and implementing tools to monitor and maintain data integrity across systems. Effective MDG supports better decision-making and regulatory compliance.

What are the typical daily responsibilities of a professional working in Master Data Governance?

Professionals in Master Data Governance are responsible for maintaining data quality, ensuring compliance with data standards, and coordinating data-related processes across departments. On a daily basis, you may review data entries for accuracy, develop and enforce governance policies, collaborate with IT and business teams to resolve data issues, and support data integration projects. This role often involves monitoring data workflows, preparing reports for stakeholders, and training end-users on data management best practices.

What is the difference between Master Data Governance vs Data Analyst?

AspectMaster Data GovernanceData Analyst
CredentialsData management certifications, knowledge of data governance frameworksStatistics, data analysis, and visualization skills, often with a degree in related fields
Work EnvironmentCollaborative, policy-driven, cross-departmental teamsAnalytical, project-focused, often in business or IT teams
Industry UsageUsed across industries for data quality and complianceUsed for data insights, reporting, and decision-making

Master Data Governance focuses on establishing policies and standards for managing critical data assets, ensuring data quality and compliance. Data Analysts interpret and analyze data to support business decisions. While both roles work with data, Master Data Governance emphasizes data integrity and policy, whereas Data Analysts focus on data insights and reporting.

What are the key skills and qualifications needed to thrive as a Master Data Governance professional, and why are they important?

To thrive as a Master Data Governance professional, you need expertise in data management, data quality principles, and a strong understanding of master data domains, often supported by a degree in information systems or related fields. Familiarity with data governance frameworks, data management tools (like Informatica or SAP MDG), and relevant certifications such as CDMP is typical. Strong analytical thinking, communication, and stakeholder management skills help you collaborate across business units and drive data governance initiatives. These capabilities are crucial for ensuring data consistency, compliance, and supporting effective business decision-making.

Is data governance a good career?

Data governance is a valuable career path that involves managing data quality, compliance, and security within organizations. It requires skills in data management tools, policies, and collaboration across teams, and offers opportunities for advancement in data-driven industries.

Is MDM a good career?

Master Data Management (MDM) is a valuable career path within data governance and data management fields. It involves working with data quality, data integration, and tools like SAP, Informatica, or Collibra, often requiring certifications and strong analytical skills. MDM professionals are in demand as organizations prioritize accurate and consistent data for decision-making.
What are popular job titles related to Master Data Governance jobs in Wisconsin? For Master Data Governance jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Master Data Governance jobs in Wisconsin look for? The top searched job categories for Master Data Governance jobs in Wisconsin are:
Master Data Governance jobs near you
Infographic showing various Master Data Governance job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $115,005 per year, or $55.3 per hour.

Master Data Analyst

htna

Milwaukee, WI

Other

Posted 6 days ago

Job description

Job Summary:
The Master Data Analyst is responsible for supporting and coordinating North America master data governance activities to ensure high-quality, consistent, and trusted data across systems and platforms. This role partners closely with business data stewards, functional teams, IT, and reporting teams to define, maintain, and improve master data attributes, processes, and data quality.

The Master Data Analyst plays a critical role in ERP master data execution, governance compliance, and reporting design enablement for both ERP and Business Intelligence (BI) solutions. 

This will be achieved while maintaining HellermannTyton's Quality and EHS certifications by supporting all corporate policies, procedures, work instructions, and required documentation.

Essential Functions:
Master Data Governance & Stewardship

  • Support and coordinate North America master data governance activities across key domains (e.g., Customer, Product, Vendor, Material, Location).
  • Partner with business data stewards to maintain master data standards, ownership, and accountability.
  • Facilitate governance workflows related to master data creation, change, approval, and retirement.
  • Ensure adherence to master data policies, naming standards, hierarchies, and reference data definitions.

Master Data Maintenance & Quality

  • Work with business and functional teams to define, validate, and maintain master data attributes and business rules.
  • Monitor and analyze master data quality, identifying issues related to completeness, accuracy, consistency, and timeliness.
  • Support data quality remediation efforts, root cause analysis, and continuous improvement initiatives.
  • Assist in defining and tracking data quality metrics and KPIs.

ERP Master Data Support

  • Support master data activities within the ERP environment (e.g., customer, product, vendor, pricing, organizational structures).
  • Collaborate with ERP functional teams to ensure master data supports business processes and operational needs.
  • Assist during ERP implementations, enhancements, and upgrades, including data migration, validation, and reconciliation.
  • Document master data-related processes, roles, and controls.

Reporting & Analytics Enablement

  • Partner with reporting and analytics teams to ensure master data is fit-for-purpose for ERP reporting and BI solutions.
  • Support the design of master data structures, hierarchies, and attributes that enable consistent reporting and analytics.
  • Collaborate in aligning ERP master data with BI semantic models, dimensions, and reference data.

Cross-Functional Collaboration

  • Act as a liaison between business, IT, ERP, and BI teams on master data-related topics.
  • Support change management and communication related to master data standards and governance processes.
  • Contribute to master data documentation, training materials, and user guidance.

Success in this role will require

  • Data governance and stewardship mindset
  • Strong attention to detail and data accuracy
  • Ability to translate business needs into data attributes and standards
  • Comfortable operating between business and technical teams
  • Process-oriented with a continuous improvement focus

What You'll Bring

  • Bachelor’s degree in information systems, Business Administration, Data Analytics, Supply Chain, or a related field.
  • 3+ years of experience in master data management, data governance, or ERP data support.
  • Working knowledge of ERP systems (e.g., SAP, Oracle, JDE).
  • Experience working with business data stewards and cross-functional teams.
  • Strong understanding of master data concepts, including attributes, hierarchies, reference data, and data quality.
  • Experience supporting reporting and analytics initiatives (ERP reporting and/or BI tools).
  • Strong analytical, organizational, and problem-solving skills.
  • Excellent written and verbal communication skills.

Preferred / Nice-to-Have Qualifications

  • Experience supporting master data during ERP transformations or migrations.
  • Familiarity with data governance frameworks and operating models.
  • Experience with BI tools such as Power BI, Tableau, or similar platforms.
  • Exposure to data quality tools, MDM platforms, or data catalog tools.
  • Experience in manufacturing, distribution, or supply chain environments.
  • Understanding of dimensional modeling concepts (facts, dimensions) for analytics.

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