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Master Data Manager Jobs in Milwaukee, WI (NOW HIRING)

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.

Manufacturing Engineer - Master Data

Milwaukee, WI · On-site

$69K - $89K/yr

TheManufacturing Engineer - Master Data is responsible for establishing manufacturing and part ... This role requires refined project management skills, strong attention to detail, and the ability ...

We are seeking a leader with proven expertise in business intelligence, data analytics, master data management and master data governance, and technology innovation, combined with strong business ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data ...

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 ...

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Showing results 1-20

Master Data Manager information

See Milwaukee, WI salary details

$30.5K

$95.7K

$169.5K

How much do master data manager jobs pay per year?

As of Aug 26, 2026, the average yearly pay for master data manager in Milwaukee, WI is $95,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $123,600.00 per year, depending on experience, location, and employer.

What is a master data manager?

A Master Data Manager is a professional responsible for overseeing an organization’s critical business data, ensuring its accuracy, consistency, and security across various systems. They develop and implement policies and processes for managing master data, such as customer, product, or supplier information. Their role often involves data governance, quality control, and collaborating with different departments to maintain data integrity. Master Data Managers help organizations make informed decisions by providing reliable data and supporting compliance with regulatory requirements.

How does a master data manager typically collaborate with other departments to ensure data consistency across the organization?

A Master Data Manager works closely with teams such as IT, finance, operations, and sales to establish and enforce data governance policies. They facilitate regular communication to align data standards and resolve discrepancies, often leading cross-functional meetings to address data quality issues. By collaborating on data integration projects and implementing best practices, Master Data Managers ensure that all departments have access to accurate and consistent information, which is crucial for decision-making and operational efficiency.

What are the key skills and qualifications needed to thrive as a master data manager, and why are they important?

To thrive as a Master Data Manager, you need expertise in data governance, data quality management, and strong analytical skills, typically supported by a degree in information systems or a related field. Familiarity with master data management (MDM) platforms like Informatica or SAP MDG, and certifications in data management are highly beneficial. Exceptional communication, attention to detail, and project management abilities help you collaborate across departments and drive data initiatives. These skills ensure accurate, consistent, and reliable data that supports business decision-making and operational efficiency.

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

AspectMaster Data ManagerData Analyst
Required CredentialsBachelor's degree in Business, IT, or related field; certifications like CDMP or DAMABachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting departments
Employer & Industry UsageFinance, healthcare, retail, manufacturingMarketing, finance, consulting, technology

The Master Data Manager focuses on maintaining and governing core data assets across an organization, ensuring data accuracy and consistency. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require data-related skills, the Master Data Manager emphasizes data governance and management, whereas the Data Analyst emphasizes data analysis and reporting.

How much does a master data manager make?

The average salary for a master data manager in the United States ranges from $80,000 to $130,000 annually, depending on experience, industry, and location. Professionals with certifications in data management tools and strong analytical skills tend to earn higher salaries.
Infographic showing various Master Data Manager job openings in Milwaukee, WI as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $95,711 per year, or $46 per hour.

Enterprise Data Reporting Manager

Milwaukee, WI • On-site

Full-time

Re-posted 10 days ago


Job description

Job Summary:

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. Reporting to the Director of Operations Business Systems & Data Strategy, this role translates the organization's data and analytics strategy into day-to-day execution — managing people, priorities, and delivery across the BI development lifecycle, Master Data stewardship, and business partnership functions. This leader is accountable for ensuring that enterprise data is accurate, governed, accessible, and structured to support advanced analytics, AI, and automation initiatives. The Manager serves as the operational bridge between strategic data initiatives and the teams that execute them, driving quality, consistency, and continuous improvement across all data and reporting functions. 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:

Team Leadership & People Management

  • Lead, coach, and develop a team.
  • Set clear goals, priorities, and performance expectations aligned to organizational objectives and the enterprise data strategy.
  • Manage team capacity, workload balancing, and sprint planning to ensure timely delivery of data and reporting initiatives.
  • Foster a collaborative, continuous-learning culture focused on quality, accountability, and professional growth.
  • Conduct regular 1:1s, performance reviews, and career development conversations.

Business Intelligence & Reporting

  • Oversee the design, development, and delivery of enterprise dashboards, reports, and analytics solutions using Microsoft Fabric and Power BI.
  • Ensure BI solutions serve as trusted inputs for downstream AI, advanced analytics, BI, and automated decision-making use cases.
  • Partner with business stakeholders to prioritize reporting requirements and translate business needs into scalable BI solutions.
  • Drive adoption of standardized metrics, KPIs, and self-service analytics capabilities across the organization.
  • Establish and enforce development standards, naming conventions, documentation, and release management processes for BI artifacts.

Master Data Governance & Data Quality

  • Oversee North America Master Data governance activities across key domains.
  • Ensure data quality standards are defined, monitored, and continuously improved in partnership with business data stewards.
  • Support governance workflows for Master Data creation, change, approval, and retirement.
  • Drive data quality remediation efforts, root cause analysis, and KPI tracking to improve accuracy, completeness, and consistency.
  • Ensure master and transactional data structures support AI feature engineering, model training, and intelligent automation use cases
  • Partner with IT and ERP teams to align Master Data with system and reporting requirements.
  • Lead efforts to close data and information gaps by partnering with business stakeholders to identify, collect, validate, and enrich missing data attributes.

ERP & Platform Support

  • Support ERP transformation and enhancement initiatives (e.g., JDE to SAP S/4HANA migration) by ensuring data readiness, validation, and alignment with enterprise standards.
  • Coordinate team involvement in ERP data migration, testing, reconciliation, and go-live activities.
  • Align master data and reporting structures with ERP and Fabric platform evolution.

Cross-Functional Collaboration & Continuous Improvement

  • Collaborate with business leaders across operations, supply chain, finance, sales, and IT to understand evolving data and reporting needs.
  • Communicate technical concepts in business-friendly terms to non-technical stakeholders and leadership.
  • Drive continuous improvement in data processes, reporting workflows, and team operating practices.
  • Support change management and adoption of improved data practices across the enterprise.
  • Contribute to the enterprise BI and data governance roadmap in partnership with the Director.

Success in this role will require:

  • People Leadership & Team Development
  • Strategic Thinking with Hands-On Execution
  • Data Governance & Stewardship Mindset
  • Strong Business Acumen & Stakeholder Partnership
  • Analytical & Problem-Solving Orientation
  • Communication & Change Management
  • Enterprise-Scale Thinking (Standards, Reuse, Governance)
  • Continuous Improvement & Adaptability

What You'll Bring

Required

  • Bachelor’s degree in business, Information Systems, Data Analytics, Computer Science, or a related field.
  • 5+ years of progressive experience in business intelligence, data management, data governance, or analytics.
  • Demonstrated experience managing or coordinating cross-functional teams delivering BI, reporting, or data quality solutions.
  • Strong understanding of data governance principles, master data management, and data warehousing concepts.
  • Hands-on experience with Power BI and familiarity with modern analytics platforms.
  • Working knowledge of ERP systems (e.g., SAP, JDE, Oracle) and their data structures.
  • Excellent communication, stakeholder engagement, and leadership skills.

Preferred

  • At least 2 years in a people leadership or team lead role.
  • Experience with Microsoft Fabric, Lakehouse architecture, or medallion architecture patterns.
  • Experience supporting ERP transformation or migration projects (e.g., JDE to SAP S/4HANA).
  • Familiarity with data quality tools, MDM platforms (e.g., SAP MDG, Stibo STEP), or data catalog tools.
  • Background in manufacturing, distribution, or supply chain environments.
  • Experience with Agile/sprint-based delivery models for analytics teams.

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