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Senior Master Data Management Jobs (NOW HIRING)

Stellar IT Group

Master Data Manager

Saint Louis, MO · On-site

Responsibilites Master Data Management * Oversee the establishment and maintenance of master data management policies and procedures. * Develop and enforce data standards, ensuring data integrity and ...

Kiongroup

Master Data

Grand Rapids, MI

As part of our master data team, you will support the implementation of data management strategies so that data is understood, self-describing, locatable and usable from the start. In addition, you ...

Kion Group AG

Master Data

Grand Rapids, MI · On-site

As part of our master data team, you will support the implementation of data management strategies so that data is understood, self-describing, locatable and usable from the start. In addition, you ...

Kiongroup

Master Data

Grand Rapids, MI

As part of our master data team, you will support the implementation of data management strategies so that data is understood, self-describing, locatable and usable from the start. In addition, you ...

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How much do senior master data management jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for senior master data management in the United States is $56.62, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $67.31 per hour, depending on experience, location, and employer.

What is a senior master data management professional?

A Senior Master Data Management (MDM) professional is responsible for overseeing an organization's critical data assets, ensuring their accuracy, consistency, and security across different business systems. They lead MDM strategies, implement data governance policies, and coordinate with various departments to maintain high-quality data. Additionally, they often manage data integration projects, resolve data discrepancies, and support decision-making through reliable data management practices. Their role is crucial in enabling organizations to leverage data effectively for business success.

How does a senior master data management professional typically collaborate with cross-functional teams to ensure data consistency across an organization?

A Senior Master Data Management (MDM) professional frequently works with teams such as IT, business operations, compliance, and analytics to align data standards and governance practices. They lead initiatives to harmonize data definitions, resolve discrepancies, and implement data quality controls, ensuring that all business units use consistent and accurate information. Regular meetings, workshops, and data stewardship programs are common tools they use to facilitate collaboration and address any data-related challenges. This cross-functional engagement is essential for maintaining trust in the organization's data assets and supporting strategic decision-making.

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

To thrive as a Senior Master Data Management professional, you need deep expertise in data governance, data modeling, and data integration, often supported by a bachelor’s or master’s degree in information systems or related fields. Proficiency with MDM platforms (such as Informatica, SAP MDG, or Oracle MDM), data quality tools, and knowledge of data privacy regulations is crucial. Strong analytical thinking, project management, and effective communication skills help drive cross-functional collaboration and change management. These skills ensure high-quality, consistent data that supports strategic decision-making and operational efficiency across the organization.

What is the difference between Senior Master Data Management vs Data Analyst?

AspectSenior Master Data ManagementData Analyst
CredentialsBachelor's/Master's in IT, Data Management, or related fields; certifications like CDMPBachelor's in Data Science, Statistics, or related fields; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting environments
Industry UsageUsed across industries for data governance and qualityUsed across industries for data analysis and reporting

The main difference is that Senior Master Data Management focuses on overseeing data governance, quality, and consistency at an enterprise level, while Data Analysts primarily analyze data to generate insights and support decision-making. Both roles require strong data skills but serve different functions within organizations.

What cities are hiring for Senior Master Data Management jobs?

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What are the most commonly searched types of Master Data Management jobs?

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What states have the most Senior Master Data Management jobs?

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Senior Master Data Management jobs near you
Infographic showing various Senior Master Data Management job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $117,762 per year, or $56.6 per hour.

Senior Consultant - Master Data Online (MDO)

Bakersfield, CA • On-site

Elfonze Technologies
See more jobs at Elfonze Technologiesexternal

$53 - $72.50/hr

Other

Posted 2 days ago

New

Job description

SENIOR CONSULTANT – MASTER DATA GOVERNANCE

NUMBER OF POSITIONS - 2

We are seeking an experienced Senior Consultant to join our Master Data Online (MDO) practice, supporting the design and delivery of enterprise data governance solutions on SAP. The successful candidate will bring deep SAP ERP experiene, a strong background in data governance and master data management (MDG or equivalent), and hands‑on exposure to Asset and Material data domains. This is a client‑facing role spanning requirement gathering, governance design, and close collaboration with technical build teams to deliver configured and custom solutions.

Key Responsibilities:
  • Lead and support requirement gathering workshops with client stakeholders to define business rules, data standards, and governance workflows for master data (Asset and/or Material domains).
  • Translate business requirements into functional designs for data governance processes, validation rules, and approval workflows within MDO.
  • Partner with Build teams to define technical requirements and support the development of custom RFCs, function modules, and enhancements needed to operationalize governance rules in SAP.
  • Design and validate data quality rules, classification structures, and master data models aligned to industry standards and client‑specific requirements.
  • Support configuration and testing of governance workflows, ensuring alignment between business rules and system behavior.
  • Act as a liaison between business stakeholders and technical teams throughout the project lifecycle, from design through go‑live and stabilization.
  • Contribute to solution documentation, functional specifications, and test scripts to support project delivery and knowledge transfer.
  • Provide subject matter guidance on SAP master data structures, data governance best practices, and related tools and processes.
  • Participate in the sales cycle by supporting product demonstrations and contributing to the preparation of Statements of Work (SOW) for prospective clients.
Required Experience & Qualifications:
  • 10+ years of overall experience working with SAP ERP systems.
  • Minimum of 2 data governance projects involving SAP Master Data Governance (MDG) or related master data management products.
  • Demonstrated experience implementing data governance projects for SAP, including business rule definition, workflow design, and data quality frameworks.
  • Strong functional experience in the Asset domain (e.g., SAP Plant Maintenance) and/or Material domain (e.g., Material Master, MRP, Purchasing).
  • Proven experience leading or actively participating in requirement gathering sessions with business stakeholders.
  • Experience collaborating with technical/build teams on custom development, including RFCs, function modules, or other SAP enhancements supporting governance workflows.
  • Solid understanding of master data lifecycle management, data classification, and data quality validation principles.
  • Strong communication and stakeholder management skills, with the ability to work effectively across business and technical audiences.
What We Offer
  • The opportunity to work on high-impact data governance and digital transformation projects for global clients.
  • A collaborative environment with exposure to leading master data management technologies and practices.
  • Career growth within a specialist consulting practice focused on asset and master data solutions.
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