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Remote Enterprise Data Management Jobs in Ohio (NOW HIRING)

Data Strategist

Continental, OH · Remote

$115K - $125K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Minimum ten (10) years of experience in enterprise data management or analytics. * Demonstrated ...

... Enterprise Data Modeler. * Experience with data governance and data management approaches ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

... Erwin Enterprise Data Modeler. Experience with data governance and data management approaches ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

... Enterprise Data Modeler. * Experience with data governance and data management approaches ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Remote Enterprise Data Management information

What is remote enterprise data management?

Remote Enterprise Data Management refers to the processes and tools used to organize, store, govern, and analyze large volumes of business data from a remote location. Professionals in this field ensure that data is accurate, secure, and accessible to authorized users, even when working from different locations. They use specialized software and cloud-based solutions to manage data assets, enforce data governance policies, and support business decision-making. The role often requires collaboration with IT, analytics, and business teams to implement best practices for data handling and compliance.

What are the key skills and qualifications needed to thrive as a remote enterprise data management professional?

To thrive as a Remote Enterprise Data Management professional, you need expertise in data governance, data modeling, and database management, often supported by a degree in computer science or information systems. Familiarity with data management platforms (like Informatica, Collibra, or Talend), cloud databases (such as AWS, Azure, or Google Cloud), and relevant certifications (e.g., CDMP) is typically required. Strong analytical thinking, attention to detail, and effective remote communication skills help ensure smooth collaboration and data integrity. These competencies are vital to maintaining organizational data quality, security, and accessibility in a distributed work environment.

How does a remote enterprise data management professional typically collaborate with cross-functional teams to ensure data consistency across the organization?

Remote Enterprise Data Management professionals often work closely with IT, business analysts, and data governance teams through virtual meetings, collaborative platforms, and shared documentation. They are responsible for establishing data standards, coordinating data integration efforts, and ensuring that data definitions and quality controls are consistent across departments. Regular communication and project management tools are essential for aligning stakeholders and resolving data discrepancies, making strong collaboration skills vital for success in this remote role.

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

AspectRemote Enterprise Data ManagementRemote Data Analyst
Required CredentialsData management certifications, SQL, data governanceData analysis certifications, Excel, SQL, visualization tools
Work EnvironmentCross-departmental, strategic focus, data infrastructureBusiness units, reporting, data interpretation
Industry UsageIT, finance, healthcare, large enterprisesMarketing, finance, retail, various industries

Remote Enterprise Data Management involves overseeing data infrastructure, governance, and quality across an organization, focusing on strategic data assets. Remote Data Analysts primarily interpret data, create reports, and support decision-making. While both roles require data-related skills and certifications, Enterprise Data Management emphasizes data governance and infrastructure, whereas Data Analysts focus on data analysis and visualization.

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

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

What are popular job titles related to Remote Enterprise Data Management jobs in Ohio?

For Remote Enterprise Data Management jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Remote Enterprise Data Management jobs in Ohio look for?

The top searched job categories for Remote Enterprise Data Management jobs in Ohio are:

What cities in Ohio are hiring for Remote Enterprise Data Management jobs?

Cities in Ohio with the most Remote Enterprise Data Management job openings:

Data Strategist

A-TEK Inc.

Continental, OH • Remote

$115K - $125K/yr

Full-time

Re-posted 22 days ago


Job description

A-TEK is seeking a Data Strategist to lead enterprise data strategy, governance, and analytics modernization efforts supporting DHS Health IT initiatives. This position will collaborate with business leaders, technical teams, and Government stakeholders to establish enterprise data standards, improve data quality, and maximize the value of organizational data assets. This is a remote position requiring all work be performed in the continental United States. US Citizenship is required for consideration for this position.

Essential Responsibilities

  • Develop enterprise data governance strategies and implementation roadmaps.
  • Establish data quality, metadata, master data, and data stewardship frameworks.
  • Define enterprise reporting and analytics strategies aligned with organizational objectives.
  • Collaborate with stakeholders to identify strategic data requirements.
  • Develop policies for data management, security, accessibility, and lifecycle management.
  • Support implementation of enterprise data governance tools and best practices.
  • Analyze current data architecture and recommend modernization initiatives.
  • Develop executive dashboards and performance measurement strategies.
  • Facilitate data governance working groups and stakeholder workshops.
  • Coordinate with data engineers, analysts, and business leaders to improve enterprise reporting capabilities.
  • Monitor data quality metrics and recommend corrective actions.
  • Support strategic planning and decision-making through data-driven insights.

Minimum Qualifications

  • Bachelor's degree in Information Systems, Data Science, Computer Science, or related discipline.
  • Minimum ten (10) years of experience in enterprise data management or analytics.
  • Demonstrated experience implementing data governance frameworks.
  • Experience developing enterprise data strategies and roadmaps.
  • Knowledge of data architecture, metadata management, and data quality principles.
  • Strong analytical, facilitation, and communication skills.
  • Ability to obtain and maintain DHS Public Trust suitability.

Preferred Qualifications

  • Master's degree in Data Science, Analytics, Information Management, or related discipline.
  • Experience supporting Federal healthcare organizations.
  • Familiarity with DAMA-DMBOK or DCAM frameworks.

Compensation

Expected Salary Range: $115,000-$125,000 annually. Actual compensation will be determined based on experience, qualifications, geographic location (if applicable), and final contract funding.

This position is expected to support a federal customer. Employment is contingent upon contract award and successful completion of any required background investigation or security requirements.