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Data Management Jobs in Ohio (NOW HIRING)

$82K - $112K/yr

The Administrative and Data Management Assistant will function as an administrator and data manager in the field of risk analysis to support AFRL and the Risk Identification and Security ...

$44K - $55K/yr

*This is a contingent opportunity Security and Data Management Assistant K2 Group is searching for a Security and Data Management Assistant to support the Air Force Research Laboratory Sensors ...

$87.85 - $111.28/hr

... Daten * Implementierung eines gemeinsam mit der Quality‑Abteilung entwickelten GxP konformen Governance- und Qualitätsframeworks * Leitung des Datenmigrationsteils innerhalb der ...

2245 Data Engineer III

Cincinnati, OH

$109K - $132K/yr

Handle the design and construction of scalable management systems, ensure that all data systems meet company requirements, and also research new uses for data acquisition. Required to know and ...

This role plays a key part in coordinating data, resolving issues, and maintaining strong client ... Manage and validate client data feeds, run simulations, review results with clients, make program ...

Activities will include Configuration Management, Data Management, Technical Order Management, Engineering Data Management, and Deficiency Reporting. * Work collaboratively with prime contractors to ...

Activities will include Configuration Management, Data Management, Technical Order Management, Engineering Data Management, and Deficiency Reporting. * Work collaboratively with prime contractors to ...

Coordinating project timelines for all Data Management activities * Coordination of data transfers with the clinical database programmers, Project Manager andexternal recipients; * Coordinate system ...

Coordinating project timelines for all Data Management activities * Coordination of data transfers with the clinical database programmers, Project Manager and external recipients; * Coordinate system ...

Showing results 21-40

Data Management information

See Ohio salary details

$29.5K

$92.4K

$163.5K

How much do data management jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data management 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 data management?

Data management is the process of collecting, storing, organizing, and maintaining data in a secure and efficient manner. It ensures that data is accurate, available, and accessible to authorized users when needed. Good data management practices help organizations make informed decisions, comply with regulations, and protect sensitive information. It often involves the use of specialized software, policies, and procedures to handle data throughout its lifecycle.

What is a data management analyst?

A data management analyst is responsible for maintaining databases. In this position, your responsibilities are to keep an eye on how secure the data is and look for ways to increase user efficiency when accessing it. For example, you might move the database to an online cloud-based server to free up system resources. A data management analyst has to have a solid grasp of network technology, in addition to familiarity with database and spreadsheet software, to perform the duties of the job.

What are the key skills and qualifications needed to thrive in data management, and why are they important?

To excel in Data Management, you need a strong background in data analysis, database design, and data governance, often supported by a degree in computer science or information systems. Familiarity with database management systems (like SQL, Oracle), data visualization tools, and certifications such as Certified Data Management Professional (CDMP) are highly valued. Attention to detail, problem-solving, and strong organizational skills help professionals ensure data integrity and facilitate effective collaboration. These competencies are crucial for maintaining accurate, secure, and accessible data, which underpins informed business decision-making.

What are some common challenges faced by data management professionals in ensuring data quality and consistency across departments?

Data Management professionals often encounter challenges such as inconsistent data entry practices, siloed information systems, and varying data standards across departments. Addressing these issues typically involves implementing data governance frameworks, standardizing processes, and fostering collaboration between teams to ensure data integrity. Regular audits, cross-functional meetings, and the use of data quality tools are common strategies employed to maintain high standards and support organizational decision-making.

What is the difference between Data Management vs Data Analyst?

AspectData ManagementData Analyst
Primary FocusOrganizing, storing, and maintaining data integrityAnalyzing data to extract insights and support decision-making
Skills & CertificationsDatabase management, SQL, data governance certificationsStatistical analysis, Excel, data visualization tools
Work EnvironmentData warehouses, IT departments, enterprise systemsBusiness units, analytics teams, consulting firms
Industry UsageUsed across industries for data infrastructureUsed for reporting, forecasting, and strategic analysis

While Data Management focuses on maintaining and organizing data infrastructure, Data Analysts interpret this data to generate insights. Both roles are essential for effective data-driven decision-making but serve different functions within an organization.

What is data management as a job?

Data management as a job involves organizing, storing, and maintaining data to ensure its accuracy, security, and accessibility. Professionals in this field often work with database systems, data governance policies, and data quality tools, requiring skills in data analysis, SQL, and sometimes certifications like CDMP or DAMA-DMBOK. The role supports organizations in making informed decisions and complying with data regulations.

What skills are needed for data management jobs?

Data management jobs require strong analytical skills, proficiency in database tools like SQL, data modeling, and knowledge of data governance and security practices. Familiarity with data management software, attention to detail, and the ability to organize large datasets are also essential. Certifications such as Certified Data Management Professional (CDMP) can enhance job prospects.

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

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

What cities in Ohio are hiring for Data Management jobs?

Cities in Ohio with the most Data Management job openings:

Infographic showing various Data Management job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $92,355 per year, or $44.4 per hour.

Senior Application Architect - Test Data Management

Huntington Bancshares, Inc.

Columbus, OH • On-site

$125 - $175/hr

Other

Posted 5 days ago


Huntington National Bank rating

8.2

Company rating: 8.2 out of 10

Based on 171 frontline employees who took The Breakroom Quiz

50th of 171 rated banks


Job description

Description Job Summary

We are seeking an experienced Test Data Management Architect to design and implement enterprise TDM capabilities supporting unit, system, integration, and end-to-end testing. This role will define the architecture, technology, processes, and provisioning model for scalable, reusable test data solutions across delivery teams. The ideal candidate has strong expertise in application architecture, data management, QA frameworks, and financial systems, with experience integrating enterprise solutions, meeting regulatory requirements, and reducing delivery friction in a fast-paced environment.

Key Responsibilities
  • Define TDM architecture, standards, and patterns.
  • Design scalable solutions for synthetic data and test data pipelines.
  • Provide architectural and technical guidance to engineering teams and serve as a key advocate for developer adoption of enterprise Test Data Management (TDM) solutions.
  • Collaborate with Chief Data Architecture Office in support of data governance, stewardship, and metadata teams to drive appropriate controls balanced with software development utilization of test data.
  • Ensure consistency across teams and environments.
  • Align architecture with enterprise data and AI strategies.
  • Define and govern test data lifecycle (create, deliver, refresh, retire).
  • Design test data provisioning models and ensure consistent lifecycle and provisioning patterns across teams.
  • Define approach for reusable data patterns and referential integrity.

Basic Qualifications:

  • Bachelor's Degree
  • 7+ years of total related experience
Additional Key Qualifications
  • Experience:
    • 5+ years of strong technical design and solution leadership experience, with 3+ years of application architecture experience preferred.
    • Proven experience designing and implementing data-intensive applications in financial services or risk management domains.
    • Broad range of experience in QA frameworks, basic test methodology, test automation, test driven development, and technology project lifecycles.
    • Proven experience with test data compliance in banking or financial services and methods to safeguard data (e.g., synthetic data, masking, tokenization).
    • 5+ years Agile Scrum experience.
  • Technical Skills:
    • Expertise in software architecture principles, including microservices and event-driven architectures.
    • Strong knowledge of database technologies (e.g., SQL, Oracle, DB2) and data modeling techniques.
    • Understanding of CI/CD pipelines and DevOps practices.
    • Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
    • Familiarity with API design (REST, GraphQL) and integration tools (e.g., Kafka, MuleSoft, or similar).
  • Domain Knowledge:
    • Knowledge of financial services, banking regulations (e.g., KYC, AML, SOX), and global privacy laws (e.g., GDPR, CCPA).
    • Familiarity with data governance, data quality frameworks, and data lakes.
    • Familiarity with AI/ML for generating test and synthetic data.
  • Soft Skills:
    • Excellent problem-solving and analytical skills with a focus on delivering business value.
    • Strong communication skills to articulate complex technical concepts to non-technical stakeholders.
    • Proven ability to lead cross-functional teams and manage multiple priorities in a dynamic environment.
    • Ability to build strong partnerships and to work collaboratively with all business and IT areas.

Exempt Status: Yes (not eligible for overtime pay)

Workplace Type: Office

Our Approach to Office Workplace Type: Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

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