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Remote Enterprise Data Management Jobs (NOW HIRING)

DivIHN

Senior Data Manger (Remote)

$68.75 - $92/hr

Senior Data Manager (Remote) Location: Remote Duration: 12 Months Work Arrangement * Remote ... Key Responsibilities • Lead enterprise-wide data governance and data management activities for ...

Axiom Path

Enterprise Data Architect #3599143

Portland, OR · On-site +1

$150K - $173K/yr

Remote work may require approval and is most likely to be considered only for exceptionally aligned ... enterprise data management platform. * Design end-to-end data architecture across ingestion ...

Wipfli Advisory LLC

Enterprise Data Architect

CDMP - Certified Data Management Professional (DAMA International). * Microsoft Certified: Azure ... Visit his LinkedIn page to connect! #LI-REMOTE #LI-BD1 Additional Details Additional Details:

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How much do remote enterprise data management jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for remote enterprise data management in the United States is $71.92, according to ZipRecruiter salary data. Most workers in this role earn between $62.50 and $82.45 per hour, depending on experience, location, and employer.

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.

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 are the key skills and qualifications needed to thrive as a Remote Enterprise Data Management professional, and why are they important?

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.

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.
More about Remote Enterprise Data Management jobs
What cities are hiring for Remote Enterprise Data Management jobs? Cities with the most Remote Enterprise Data Management job openings:
What are the most commonly searched types of Enterprise Data Management jobs? The most popular types of Enterprise Data Management jobs are:
What states have the most Remote Enterprise Data Management jobs? States with the most job openings for Remote Enterprise Data Management jobs include:
What job categories do people searching Remote Enterprise Data Management jobs look for? The top searched job categories for Remote Enterprise Data Management jobs are:
Remote Enterprise Data Management jobs near you
Infographic showing various Remote Enterprise Data Management job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 59% Full Time, 35% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $149,587 per year, or $71.9 per hour.

Senior Data Manger (Remote)

DivIHN

Remote

$68.75 - $92/hr

Full-time

Posted 20 days ago

Job description

For further inquiries regarding the following opportunity, please contact our Talent Specialist, Abdul at (224) 507-1295 or Saravanakumar at (224) 507-1183
Title: Senior Data Manager (Remote)
Location: Remote
Duration: 12 Months
Work Arrangement
  • Remote engagement with required onsite attendance in Springfield, IL during the first week of the project.
  • Remaining duration of the contract may be performed remotely.

Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered
Job Description:
Position Summary
• Our client is seeking an experienced Senior Data Manager to lead the data governance, architecture oversight, migration strategy, and enterprise data quality initiatives for the Data Modernization Program supporting ALI and GIMS modernization efforts.
• This role will provide strategic leadership across data architecture, governance, security, migration planning, and cloud data management while coordinating with business stakeholders, architects, developers, and implementation partners.
• The ideal candidate will possess strong expertise in Azure cloud data ecosystems, enterprise data governance, master data management, and large-scale modernization programs.
Key Responsibilities
• Lead enterprise-wide data governance and data management activities for the CMS Data Modernization initiative.
• Define and oversee Azure cloud data architecture standards including Azure Data Lake Storage (ADLS), Azure SQL, Dataverse, and related Azure services.
• Establish and manage enterprise data governance frameworks including metadata management, lineage, classification, RBAC, ABAC, and Key Vault security standards.
• Design and govern multizone data lake architecture models (Bronze/Silver/Gold) supporting analytics and operational workloads, including Data Lake / Lakehouse / Enterprise Data Warehouse (EDW) architecture patterns.
• Serve as technical lead for ingestion contracts, defining standards, schemas, validation rules, and interface governance across upstream and downstream systems.
• Provide architectural governance and authorship of Architecture Decision Records (ADRs), ensuring consistent platform technology decisions across the program.
• Perform Dataverse schema review and governance to ensure alignment with enterprise data models and integration standards.
• Coordinate master data management (MDM) and data cleanup activities across implementation teams, business SMEs, and technical stakeholders.
• Develop data quality, validation, profiling, reconciliation, and reporting standards.
• Oversee end-to-end data migration planning, governance, cutover readiness, and validation processes.
• Ensure compliance with SSN/PII protection standards including encryption, masking, tokenization, and audit controls.
• Partner with application teams supporting Dynamics 365 and Power Platform integrations.
• Establish data usage monitoring, metering, and governance reporting processes.
• Coordinate activities across analysts, developers, architects, SMEs, and business stakeholders.
• Provide executive-level reporting, risk management, and strategic guidance to leadership.
Required Qualifications
• 7+ years of experience in enterprise data management, cloud data architecture, or data modernization initiatives.
• Strong expertise with Azure cloud data technologies including ADLS, Azure SQL, Dataverse, and Azure governance tools.
• Experience implementing enterprise data governance and metadata management frameworks.
• Deep understanding of data lake architecture, ETL/ELT processes, and migration governance.
• Experience with Azure Purview, RBAC, ABAC, Key Vault, and cloud security controls.
• Strong understanding of SSN/PII protection and compliance requirements.
• Experience supporting Dynamics 365 and Power Platform data integrations.
• Excellent communication, stakeholder management, and leadership skills.
• Experience leading cross-functional teams in large modernization programs.
Preferred Qualifications
• Experience working within public sector or government environments.
• Azure certifications related to Data Engineering or Cloud Architecture.
• Experience supporting large-scale enterprise modernization programs.

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