1

Master Data Jobs in Ohio (NOW HIRING)

Minimum 7+ years of experience in SAP master data management with a focus on Vendor Master. * Deep knowledge of SAP Finance modules (FI-AP) and their integration with Procurement (MM). * Proven track ...

Showing results 21-40

Master Data information

See Ohio salary details

$18

$42

$72

How much do master data jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for master data in Ohio is $42.16, according to ZipRecruiter salary data. Most workers in this role earn between $29.04 and $52.55 per hour, depending on experience, location, and employer.

What is a master data professional?

Master Data professionals are specialists who manage, maintain, and ensure the accuracy of an organization's core data assets, such as customer, product, supplier, and employee information. They play a vital role in establishing data standards, improving data quality, and supporting business processes by keeping key data consistent and reliable across systems. Their work helps organizations make better decisions, comply with regulations, and operate efficiently.

What are some common challenges faced by professionals in master data roles, and how can they be effectively managed?

One common challenge in Master Data roles is ensuring data consistency and accuracy across multiple systems and departments. Data discrepancies can arise due to varying data entry standards or system integrations, making it essential to implement robust data governance processes. Collaboration with IT, business analysts, and end users is often required to establish clear data ownership, standardization practices, and validation routines. Regular audits and continuous communication across teams help maintain high data quality and prevent errors from propagating throughout the organization.

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

To thrive as a Master Data Specialist, you need strong analytical skills, attention to detail, and a background in data management or information systems, often supported by a relevant degree. Familiarity with ERP systems like SAP or Oracle, data governance frameworks, and certifications such as CDMP are typically valued. Excellent communication, problem-solving, and organizational skills help you collaborate effectively and resolve data issues. These skills ensure accurate, consistent, and reliable data, which is critical for organizational decision-making and operational efficiency.

What is the difference between Master Data vs Data Analyst?

AspectMaster DataData Analyst
Required CredentialsBachelor's degree in Business, IT, or related fields; certifications like CDMP are commonBachelor's degree in Statistics, Mathematics, or related fields; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting environments
Employer & Industry UsageUsed across industries for maintaining consistent core dataUsed across industries for insights, reporting, and decision-making

Master Data professionals focus on maintaining and managing the core data that supports business operations, ensuring data accuracy and consistency. Data Analysts interpret and analyze data to generate insights and support decision-making. While both roles work with data, Master Data roles are more data governance-oriented, whereas Data Analysts focus on data analysis and reporting.

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

The most popular types of Master Data jobs in Ohio are:

What cities in Ohio are hiring for Master Data jobs?

Cities in Ohio with the most Master Data job openings:

Infographic showing various Master Data job openings in Ohio as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $87,699 per year, or $42.2 per hour.

Sr. Manager Global Master Data Management

Vertiv

Westerville, OH • On-site

Full-time

Re-posted 22 days ago


Vertiv rating

6.8

Company rating: 6.8 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

367th of 490 rated machine equipment manufacturers


Job description

Job Summary:
Vertiv is a leading provider of hardware, software, analytics, and services for data centers and communication networks. The Senior Manager, Master Data Management — Item Domain will lead the global strategy and operations of item master data, driving improvements and harmonization across regions while managing a team of data professionals.
Responsibilities:
• Define and execute the global item domain strategy, including roadmap for centralization, harmonization, and governance
• Lead the globalization of item lifecycle management processes while accommodating regional nuances
• Drive cross-regional harmonization to eliminate operational inconsistencies in item data management
• Establish the item master repository as the authoritative source for item golden records across the enterprise
• Create and execute a roadmap that drives improvements across four dimensions: data, process, applications, and organizational change management
• Collaborate with item domain leadership (domain leader: business; MDM leader: IT) to establish the framework and strategy for the item domain
• Partner with system and business SMEs to implement use cases defined in the roadmap
• Address all aspects of the business user experience to drive efficiency and globalization
• Collaborate with item domain data owners to define business rules, data standards, and data quality requirements
• Drive item data de-duplication and ensure consistent data quality across all systems
• Define and monitor item attribution completeness requirements across business units (engineering, sales, legal, finance, accounting, marketing)
• Establish data quality metrics and reporting to track progress and identify areas requiring remediation
• Lead data certification processes to ensure accuracy and reliability of item master data
• Oversee item assignment to product hierarchy and ensure alignment across business functions
• Manage item lifecycle processes including creation, modification, classification, and retirement
• Perform and oversee data model changes, bulk data processing, and data migrations
• Drive BOM (Bill of Materials) data integrity and alignment with item master records
• Ensure item data supports downstream operational and analytical needs across all consuming systems
• Drive data projects within the item domain from initiation through delivery
• Lead large-scale data migrations and onboarding of new systems and organizations to the item master
• Coordinate with the MDM engineering team on platform capabilities needed for item domain initiatives
• Ensure project deliverables meet quality standards and align with the broader MDM roadmap
• Lead and manage a team of resources including data stewards, business analysts, and report analysts
• Set team priorities, manage workload, and ensure delivery against program milestones
• Hire, develop, and retain talent to build a high-performing global item data team
• Foster a culture of accountability, data ownership, and continuous improvement
• Scale the team's capabilities to support global operations beyond the current North America scope
• Maintain and report on operational and data quality KPIs
• Partner with item domain data owners across all regions and business functions collaborating with engineering, sales, legal, finance, accounting, marketing, and operations on domain-specific requirements
• Work with the Data Governance Council to establish governance structures for the item domain
• Engage IT and platform teams to ensure technical solutions support item domain business requirements
• Drive alignment and consensus across stakeholders with competing priorities and regional perspectives
Qualifications:
Required:
• Minimum 10 years of experience in master data management, data governance, or data operations
• Proven track record of leading data domain teams and managing cross-functional stakeholders
• Experience creating and executing roadmaps that span data, process, application, and organizational change management dimensions
• Demonstrated ability to drive holistic business transformation beyond just data — including process redesign, application improvements, and change management
• Demonstrated ability to build and scale teams in complex, multi-country environments
• Experience with large-scale data migrations, bulk data processing, and data model changes
• Proven ability to drive cross-regional harmonization and standardization initiatives
• Deep understanding of item master data including item lifecycle, BOMs, item classification, and product hierarchy
• Experience defining business rules, data standards, and data quality requirements with business stakeholders
• Proficiency in data quality management — profiling, monitoring, remediation, and reporting
• Working knowledge of SQL and ability to understand data flows across systems
• Experience with at least one MDM platform or data management tool
• Understanding of data governance frameworks and stewardship operating models
• Proven ability to lead and develop teams of data stewards, analysts, and specialists
• Strong stakeholder management skills across diverse business functions and regions
• Ability to influence without direct authority and drive consensus among competing priorities
• Excellent written and verbal communication skills for both technical and business audiences
• Experience operating as a domain process owner with accountability for end-to-end outcomes
Preferred:
• Multi-domain MDM experience (customer, supplier, contact, item)
• Manufacturing industry experience across multiple countries and regions
• Experience establishing a master data repository where none previously existed
• Familiarity with product lifecycle management (PLM) and ERP integration with item master
• Experience with data governance council participation and domain governance setup
• Knowledge of global data privacy regulations and compliance requirements
• Experience working with offshore vendor partners on large-scale data initiatives
• Certification in data management or governance (e.g., CDMP, DGSP)
Company:
Vertiv designs, builds and services critical infrastructure that enables vital applications for data centers and industrial facilities. Founded in 2016, the company is headquartered in Westerville, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Vertiv employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom