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Data Manager Jobs in Ohio (NOW HIRING)

Overview Configuration and Data Manager (Senior) LOCATION: Wright-Patterson AFB, OH JOB STATUS: Full-time CLEARANCE: SECRET TRAVEL: 0-10% Astrion has an exciting opportunity for a Configuration and ...

Overview Configuration and Data Manager (Senior) LOCATION: Wright-Patterson AFB, OH JOB STATUS: Full-time CLEARANCE: SECRET TRAVEL: 0-10% Astrion has an exciting opportunity for a Configuration and ...

Manager of Data Engineering

Columbus, OH · On-site

$140K - $160K/yr

Manager of Data Engineering Overview A leading enterprise organization is seeking a Manager, Data Engineering to lead a team responsible for delivering modern data solutions that support Finance and ...

We are seeking a Data Center Manager to lead our specialized technical operations. This critical role requires a professional with deep, hands-on data center experience. You must understand complex ...

Showing results 41-60

Data Manager information

See Ohio salary details

$29.5K

$92.4K

$163.5K

How much do data manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data manager in Ohio is $92,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $119,300.00 per year, depending on experience, location, and employer.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

Are data managers in demand?

Data managers are in high demand across various industries due to the increasing reliance on data-driven decision making. They typically require strong skills in database management, data analysis, and familiarity with tools like SQL and data visualization software, making their roles essential for organizations managing large data sets.

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

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

How does a data manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.

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

The most popular types of Data jobs in Ohio are:

What are popular job titles related to Data Manager jobs in Ohio?

For Data Manager jobs in Ohio, the most frequently searched job titles are:

What cities in Ohio are hiring for Data Manager jobs?

Cities in Ohio with the most Data Manager job openings:

Infographic showing various Data Manager job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $92,355 per year, or $44.4 per hour.

Sr. Manager Global Master Data Management

Vertiv

Westerville, OH • On-site

Full-time

Re-posted 21 days ago


Vertiv rating

6.8

Company rating: 6.8 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

366th of 489 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.

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