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Data Processing Jobs in Ohio (NOW HIRING)

Participates in the data gathering, data processing and data mining of large and complex datasets. * Develops algorithms using advanced mathematical and statistical techniques like machine learning ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer - Manager

Columbus, OH · On-site

$99K - $232K/yr

Within our Technology Consulting practice, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for ...

Data Engineer - Manager

Cincinnati, OH · On-site

$99K - $232K/yr

Within our Technology Consulting practice, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for ...

Data Engineer - Manager

Cleveland, OH · On-site

$99K - $232K/yr

Within our Technology Consulting practice, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for ...

Data Solutions Engineer

Cincinnati, OH · On-site

$91K - $156K/yr

Build and optimize data pipelines to support data extraction, transformation, and loading (ETL) processes using technologies such as Databricks, Snowflake, and Informatica IDMC. Develop automation ...

Data Solutions Engineer

Cincinnati, OH · On-site +1

$91K - $156K/yr

Build and optimize data pipelines to support data extraction, transformation, and loading (ETL) processes using technologies such as Databricks, Snowflake, and Informatica IDMC. Develop automation ...

Responsibilities - Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis - Developing and maintaining data pipelines, integration, and ...

Responsibilities - Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis - Developing and maintaining data pipelines, integration, and ...

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Showing results 1-20

Data Processing information

See Ohio salary details

$11

$19

$33

How much do data processing jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for data processing in Ohio is $19.27, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $21.25 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Processing position, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the typical daily responsibilities of someone working in Data Processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What is a Data Processing job?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

Is AI replacing data entry jobs?

AI is automating many data entry tasks by using machine learning and optical character recognition, which can increase efficiency and reduce manual labor. However, data processing jobs still require human oversight for complex or unstructured data, and roles involving data validation, analysis, and management remain essential. Professionals in data processing should develop skills in AI tools and data management to stay relevant.

What is the highest paying job in data?

In data-related fields, roles such as Data Science Director, Chief Data Officer, or Senior Data Architect tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with extensive experience and relevant certifications.
What are the most commonly searched types of Data Processing jobs in Ohio? The most popular types of Data Processing jobs in Ohio are:
What cities in Ohio are hiring for Data Processing jobs? Cities in Ohio with the most Data Processing job openings:
Sr. Manager Global Master Data Management

Sr. Manager Global Master Data Management

Vertiv Co

Westerville, OH

Other

Posted 13 days ago


Vertiv rating

6.9

Company rating: 6.9 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

317th of 427 rated machine equipment manufacturers


Job description

Senior Manager, Master Data Management - Item Domain

Functional Title: Senior Manager, Master Data Management - Item Domain
Position Level: Senior Manager
Reports To: Senior Director of MDM
Employment Type: Full-Time
Location: Westerville, OH (On-site, 5 days/week)

Position Overview

The Senior Manager, Master Data Management - Item Domain is responsible for leading the global strategy, operations, and governance of item master data across all regions and business functions. This role will own the item domain end-to-end - from establishing a centralized item master repository and globalizing lifecycle management processes, to driving data quality, de-duplication, and cross-regional harmonization in a highly complex environment.

Today, item master data processes are largely regional, performed by different business units across geographies with limited standardization. No centralized master repository exists, and significant operational inconsistencies persist across regions. This role will lead the transformation from a fragmented, regionally-driven model to a globally governed, harmonized item data capability - while respecting regional nuances and business-specific requirements.

This role will collaborate with item domain leadership - including the domain leader (business) and MDM leader (IT) - to establish the framework and strategy around four key dimensions: data, process, application improvements, and organizational change management. The Senior Manager will then create and execute a roadmap that drives changes across all four dimensions, ensuring a holistic approach to improving the business user experience, driving efficiency, and enabling globalization. Execution will involve close collaboration with system and business SMEs to implement the use cases defined in the roadmap.

The Senior Manager will lead a team of data stewards, business analysts, and report analysts, and will collaborate closely with item domain leader and data owners across multiple business units to define business rules, data standards, and quality requirements. This role also partner with the global process owner for item lifecycle management to drive operational efficiency and consistency.

Key Responsibilities Domain Strategy & Globalization

  • 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

Data Quality & Standards

  • 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

Item Master Enhancements and Project Delivery

  • 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

Team Leadership & Development

  • 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

Stakeholder Collaboration & Governance

  • 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

Required Qualifications Experience

  • 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

Domain & Technical Skills

  • 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

Leadership & Communication

  • 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 Qualifications

  • 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)
     

Core Competencies

  • Global mindset: Designs processes that scale globally while respecting regional realities
  • Domain ownership: Takes full accountability for the health, quality, and usability of item master data
  • Stakeholder influence: Aligns diverse business functions around common data standards and practices
  • Operational transformation: Converts fragmented, regional processes into governed, scalable operations
  • Team building: Develops high-performing teams capable of supporting enterprise-scale data operations
  • Execution discipline: Delivers measurable improvements in data quality, consistency, and completeness
  • Holistic transformation: Drives change across data, process, applications, and organizational change management to deliver end-to-end business improvement

The successful candidate will embrace Vertiv's Core Principles & Behaviors to help execute our Strategic Priorities.

 OUR CORE PRINCIPLES: Safety. Integrity. Respect. Teamwork. Inclusion.

 OUR STRATEGIC PRIORITIES

  • High-Performance Culture
  • Customer Focus
  • Operational Excellence
  • Innovation
  • Financial Strength

 VERTIV BEHAVIORS

  • Own it
  • Act with urgency
  • Foster a customer-first mindset
  • Think big and execute
  • Lead by example
  • Drive continuous improvement
  • Learn and seek out development
  • Promote transparent & open communication

 About Vertiv

Vertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to enable its customers' vital applications to run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today's data centers, communication networks and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extend from the cloud to the edge of the network. Headquartered in Westerville, Ohio, USA, Vertiv employs around 34,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more.

 Work Authorization

No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.

 Equal Opportunity Employer 

Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email tohelp.join@vertiv.com.

 #LI-RB1

Work Authorization

No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.

Equal Opportunity Employer

We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability.

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