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Information Management information

See Ohio salary details

$42.8K

$97.2K

$148.3K

How much do information management jobs pay per year?

As of Aug 21, 2026, the average yearly pay for information management in Ohio is $97,176.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $110,800.00 per year, depending on experience, location, and employer.

What is information management?

Information Management refers to the processes and systems used to collect, store, organize, and distribute information within an organization. It involves ensuring that data is accurate, accessible, secure, and used effectively to support decision-making. Professionals in this field work with both digital and physical information, implementing policies and technologies to manage the information lifecycle. Effective information management helps organizations improve efficiency, comply with regulations, and gain competitive advantages.

What are the key skills and qualifications needed to thrive in information management?

To thrive in Information Management, you need a strong understanding of data governance, information architecture, and records management, often supported by a degree in information science or a related field. Familiarity with database management systems (DBMS), content management systems (CMS), and certifications like Certified Information Professional (CIP) are highly valued. Attention to detail, analytical thinking, and strong organizational skills help professionals excel in managing and securing large volumes of information. These skills ensure information is accurate, secure, accessible, and used effectively to support organizational decision-making.

How does an information management professional typically collaborate with other departments within an organization?

Information Management professionals play a key role in supporting various departments by ensuring data is organized, accessible, and secure. They often work closely with IT, compliance, operations, and business analytics teams to implement data governance policies, streamline information workflows, and maintain regulatory compliance. Regular cross-functional meetings and project-based collaborations are common, as these professionals facilitate the sharing and integration of information across the organization. Effective communication and understanding of each department's data needs are critical for success in this role.

What is the difference between Information Management vs Data Analyst?

AspectInformation ManagementData Analyst
Required CredentialsBachelor's degree in Information Systems, Business, or related fields; certifications like CDMPBachelor's degree in Statistics, Mathematics, or related fields; certifications like CAP or Microsoft Data Analyst
Work EnvironmentCorporate offices, data centers, IT departmentsBusiness settings, analytics teams, consulting firms
Employer & Industry UsageUsed across industries for managing organizational informationUsed in finance, marketing, healthcare for data analysis and reporting

Information Management focuses on organizing, storing, and maintaining data assets within organizations, ensuring data quality and accessibility. Data Analysts interpret and analyze data to generate insights and support decision-making. While both roles work with data, Information Management emphasizes data governance and infrastructure, whereas Data Analysts focus on data analysis and reporting.

What does information management do?

Information management involves organizing, storing, and maintaining data and information within an organization to ensure accessibility, accuracy, and security. Professionals in this field often use tools like databases and content management systems and may hold certifications such as Certified Information Professional (CIP). Their work supports decision-making, compliance, and efficient operations.

What jobs can you get with an information management degree?

An information management degree prepares individuals for roles such as data analyst, records manager, information systems manager, business analyst, and data administrator. These jobs typically involve managing data, information systems, and records, often requiring skills in database software, data analysis tools, and understanding of information governance. Employment can be found in sectors like healthcare, finance, government, and technology companies.

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

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

What are popular job titles related to Information Management jobs in Ohio?

For Information Management jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Information Management jobs in Ohio look for?

The top searched job categories for Information Management jobs in Ohio are:

Information Management jobs near you
Infographic showing various Information 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 $97,176 per year, or $46.7 per hour.

Information Management Architect (Full Time)

Next Level Business Services, Inc.

Milford, OH • On-site

Full-time

Re-posted 23 days ago

Job description

Job Description

Position Title: Information Management Architect

Location: Milford, OH 

Hire Type: Full Time Only  


Job Description:-

We are looking for self-motivated Information Management architects to drive innovations on technology interoperable platforms with major ETL and BI reporting tools for enterprise customers in diverse industry verticals. 

Responsibilities: 

Architect and implement solutions in the area of Enterprise data integration and management 

Build new solutions/offerings in area of Data Integration and BI 

Drive Proof of Concept (POC) and Proof of Technology(POT) evaluation on interoperable technology platforms 

Train and mentor developers towards solution development and POC/POT execution 

Support presales engineering activities for Data Management ETL based RFPs 

Support projects on technical issues/solutions 


Qualifications: Technical: Must have: 

Minimum 10 years' experience in Enterprise Data Management including Data governance, Master data management, data quality and metadata management. 

Proficient in Data warehousing concepts, operational data stores and associated data modelling 

Experience in major ETL and BI Reporting tools, database, data modeling, data management 

Should be able to prepare end to end Data Management and ETL strategy /roadmap definition and solution design in BI areas for clients 

Experience in configuration and development of real-time interface using CDC, XML & MQ 

Experience in architecting and designing data archival engagements (e.g. Data archival for retiring applications, on-going data archival/live archiving) 

Proven ability to mentor at both ETL Development and design levels. 

Clear understanding of the RDBMS for both SMP and MPP databases. 


Nice to have: 

Understanding/Experience in Big data analytics 

Sizing and estimating, capacity planning of ETL platforms 

Establish ETL guidelines/templates, best practices & standards 


Non-Technical: Must have: 

Work with different technical and business stakeholders as needed during the entire tenure of an Information Management engagement. 

Analytical and problem solving skills. 

Strong written and verbal communication skills. 

Ability to work effectively under pressure with constantly changing priorities and deadlines. 


Nice to have: 

Familiarity with project management and systems development life cycle processes, tools, concepts and methodologies is plus. 

Ability to work independently and as a team member. 



Thanks,

Ajay Singh


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