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Remote Data Management Jobs in Cleveland, OH (NOW HIRING)

Manage operations of the Data Warehouse, Middleware/Azure Enterprise Service Bus (ESB), Cognos, and ... If fully remote: must be willing to travel * This position will require the ability to work ...

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

Manage operations of the Data Warehouse, Middleware/Azure Enterprise Service Bus (ESB), Cognos, and ... If fully remote: must be willing to travel * This position will require the ability to work ...

Position is currently remote but may work at or visit a facility based on business need. This ... Participating in vendor management processes including resolving support issues, product road ...

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

This is a hands‑on role where you'll manage and evolve our ELT pipelines, Snowflake environment ... Ensure data reliability, consistency, and availability for downstream consumers * Support and ...

Position-Palantir Data Lead Location-Cleveland, OH (Remote) Role Summary * Build and deliver end-to ... Pipeline Builder, Code Repositories, Data Connection, Ontology Manager, Workshop. * Strong PySpark ...

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Remote Data Management information

See Cleveland, OH salary details

$10

$38

$77

How much do remote data management jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for remote data management in Cleveland, OH is $38.35, according to ZipRecruiter salary data. Most workers in this role earn between $19.56 and $53.95 per hour, depending on experience, location, and employer.

What is remote data management?

Remote Data Management refers to the practice of organizing, storing, securing, and analyzing data from a location outside of an organization's physical premises. Professionals in this field use cloud-based tools and remote access software to manage databases, ensure data integrity, and facilitate data sharing among distributed teams. This approach enables businesses to maintain their data infrastructure efficiently while supporting remote work and global collaboration. It also involves implementing protocols to ensure data security and compliance with relevant regulations.

What are remote jobs in data management?

Various types of remote data management jobs are available in healthcare and insurance, with titles like clinical data manager, analyst, and auditor. In these jobs, you manage a database and provide analysis of information related to clinical trials, medical payments, operational activities, and more. Your duties and responsibilities include generating reports, database administration, and providing support for coworkers throughout your organization, but your responsibilities can vary based on what kinds of data you store. Additionally, you work with your company’s leadership to address issues affecting the availability and use of data and proactively suggest strategies for improving efficiency and accuracy. In some roles, you also participate in project planning, resource allocation, and budgeting.

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

To thrive in Remote Data Management, you need strong analytical skills, attention to detail, and a solid understanding of database concepts, often supported by a degree in information systems or a related field. Proficiency with data management tools such as SQL, Microsoft Excel, and cloud-based platforms like AWS or Google Cloud, as well as knowledge of data privacy regulations, is typically required. Excellent communication, self-motivation, and time management are important soft skills for collaborating with distributed teams and managing tasks independently. These skills ensure accurate, secure, and efficient handling of data assets while maintaining productivity and compliance in a remote work environment.

What are some common challenges faced in remote data management, and how can they be addressed?

One common challenge in remote data management is ensuring data security and integrity while working outside a traditional office environment. Remote team members must follow strict protocols for data access and regularly update security measures to protect sensitive information. Additionally, effective communication and collaboration with cross-functional teams can be more difficult remotely, so utilizing project management and communication tools is vital. Establishing clear workflows and regular check-ins helps maintain data consistency and team alignment.

What is the difference between Remote Data Management vs Data Analyst?

AspectRemote Data ManagementData Analyst
CredentialsTypically requires a degree in IT, Computer Science, or related fields; certifications like Microsoft Certified Data Analyst or AWS Data AnalyticsRequires a degree in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst Associate or Tableau Desktop Specialist
Work EnvironmentPrimarily remote, working with databases, data warehouses, and cloud platformsRemote or on-site, analyzing data sets, creating reports, and visualizations
Industry UsageUsed across IT, finance, healthcare, and e-commerce sectorsCommon in finance, marketing, healthcare, and consulting industries

Remote Data Management and Data Analysts share overlapping skills in data handling and analytics, but differ mainly in focus. Remote Data Management emphasizes database administration and cloud platforms, while Data Analysts focus on interpreting data and creating insights. Both roles are vital in data-driven organizations and often collaborate to optimize data use.

What are the most commonly searched types of Data Management jobs in Cleveland, OH?

The most popular types of Data Management jobs in Cleveland, OH are:

What job categories do people searching Remote Data Management jobs in Cleveland, OH look for?

The top searched job categories for Remote Data Management jobs in Cleveland, OH are:

What cities near Cleveland, OH are hiring for Remote Data Management jobs?

Cities near Cleveland, OH with the most Remote Data Management job openings:

Infographic showing various Remote Data Management job openings in Cleveland, OH as of August 2026, with employment types broken down into 83% Full Time, 11% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $79,776 per year, or $38.4 per hour.

Sr. Data Governance Analyst

MM International

Cleveland, OH • Remote

Contractor

Re-posted 16 days ago


Job description

Job Name: Sr. Data Governance Analyst
Location: 100% Remote

Duration: 6-12 plus months


Experience Required:

  • Sr Analyst role with minimum 8+ years of experience in data management, technology risk, or cyber risk management.
  • Experience with second-line risk functions or data governance roles within financial services

Preferred Experience, Qualifications & Skills:

  • Strong familiarity with the Data Management Capability Assessment Model (DCAM) framework.
  • Deep understanding of data governance principles and regulatory expectations.
  • Strong analytical and critical thinking skills.
  • Excellent communication and stakeholder engagement abilities.
  • Experience working in cross-functional teams and managing competing priorities.
  • Certifications (any): Data Management Capability Assessment Model (DCAM), Cloud Data Management Capabilities (CDMC), Certified Information Systems Security Professional (CISSP), Governance, Risk and Compliance Certification (CGRC), Information Systems Management Professional (ISSMP), Certified Information Systems Auditor (CISA), Certified Information Security Manager (CISM), Certified in Risk and Information Systems Control (CRISC), Certified Data Privacy Solutions Engineer (CDPSE), Certified in the Governance of Enterprise IT (CGEIT)

 

Key Responsibilities: The contractor(s) will support ongoing Business-As-Usual (BAU) activities within the Data Governance and Risk Oversight function, including:

  1. Review and Challenge of First Line Data Governance Program Deliverables
    • Evaluate remediation plans and deliverables.
    • Provide independent challenge to ensure alignment with enterprise data governance standards and regulatory expectations.
  2. Issue Verification Related to Data Issues
    • Conduct verification activities for data-related issues to confirm effective remediation.
    • Collaborate with first-line teams to assess root cause analysis and sustainability of fixes.
  3. Risk and Control Evaluation
    • Assess data-related risks and evaluate the design and effectiveness of associated controls.
    • Support risk assessments and control testing activities as needed.
  4. Metric Calculation and Review
    • Assist in the calculation of key data risk and control metrics.
    • Review and challenge metric methodologies and results to ensure accuracy and relevance.