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Data Management Jobs (NOW HIRING)

Director, Data Management

Waltham, MA ยท Hybrid

$205K - $230K/yr

This role provides strategic and operational leadership for Clinical Data Management activities supporting the company's clinical development portfolio. This position is responsible for ensuring the ...

Ensure that end-to-end Data Management activities are conducted in accordance with high ethical and quality standards, all applicable GCP regulations and company procedures * Provide oversight of all ...

Data Management, Manager As a member of Global data strategy team, the Manager Data Management, Commercial Patient Data reports into the Director, Patient Data Management. This position will manage ...

Providing Data Management (DM) support to the VECTR IPT team. Developing, implementing, and maintaining data governance policies and procedures to ensure data quality, consistency, and security.

Own and lead the firm's data quality and master data management program across designated data domains. * Establish, enforce, and continuously improve data quality standards, KPIs, and SLAs (e.g ...

Data Management Specialist

Ridgecrest, CA ยท On-site

$70K - $80K/yr

Providing Data Management (DM) support to the VECTR IPT team. Developing, implementing, and maintaining data governance policies and procedures to ensure data quality, consistency, and security.

Data Management Specialist

Ridgecrest, CA ยท On-site

$70K - $80K/yr

Providing Data Management (DM) support to the VECTR IPT team. Developing, implementing, and maintaining data governance policies and procedures to ensure data quality, consistency, and security.

The Data Management Specialist also serves as the PMO Information Architect responsible for organizing, governing, and continuously improving the departments digital workspace and knowledge ...

RIT Solutions, Inc. is seeking a Data Management Analyst who will provide data domain aligned support for a business area, ensuring the quality and accuracy of data. The role includes applying data ...

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DATA Management information

See salary details

$31K

$97.1K

$172K

How much do data management jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data management in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 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 cities are hiring for Data Management jobs?

Cities with the most Data Management job openings:

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

The most popular types of Data Management jobs are:

What states have the most Data Management jobs?

States with the most job openings for Data Management jobs include:

Infographic showing various Data Management job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Data Management Specialist

Birmingham, AL โ€ข On-site

Contractor

Re-posted 9 days ago


Job description

Data Management Specialist 2
Contract- 3 Years
Location- Birmingham, AL
Client- SOuthern Company
Job Summary

We are seeking a Data Management Specialist to support and enhance our engineering data management systems. The successful candidate will oversee Autodesk Vault administration, ensure smooth integration with AutoCAD and Civil 3D, and serve as a liaison between engineering, IT, and CAD design teams. This role requires a detail-oriented professional with strong technical knowledge of Vault environments, CAD file structures, and workflow processes.


Key Responsibilities
  • Act as primary liaison between the Autodesk Vault database team and Civil 3D subject matter experts.

  • Manage, maintain, and troubleshoot the Autodesk Vault database, including file check-in/check-out issues and version control conflicts.

  • Configure and manage Vault user accounts, roles, and permissions to maintain secure and efficient data access.

  • Develop, implement, and enforce workflow processes and lifecycle management for CAD file storage and version control.

  • Support seamless integration of AutoCAD, Civil 3D, and Vault to improve design workflows and collaboration.

  • Partner with engineers, CAD designers, and IT staff to promote best practices in engineering data management.

  • Lead or assist in Vault upgrades, patching, testing, and system performance improvements.

  • Provide training and onboarding for new Vault users, including standards, workflows, and troubleshooting.

  • Maintain internal documentation of procedures, issues, and resolutions to build a robust knowledge base.

  • Support project collaboration through structured data management and occasional in-office meetings.

  • Initial onboarding will be in-office for a few weeks to learn systems, meet the team, and establish processes.


Qualifications
  • Education: Associate or Bachelor’s degree in Civil Engineering Technology, Computer Science, Information Systems, or a related field (or equivalent work experience).

  • Experience:

    • 3–5 years of hands-on experience with Autodesk Vault and AutoCAD is required.

    • Experience with Civil 3D is a plus.

  • Technical Knowledge:

    • Strong understanding of engineering data management, CAD file structures, and version control principles.

    • Familiarity with Windows Server environments and SQL databases is a plus.

  • Skills:

    • Highly organized, task-oriented, and detail-driven.

    • Strong written and verbal communication skills.

    • Self-starter, capable of working independently and resolving issues proactively.


Preferred Attributes
  • Previous experience implementing CAD/Vault best practices in an engineering or utility environment.

  • Ability to coordinate across multiple teams to solve technical issues.

  • Strong analytical skills for diagnosing data integrity, performance, and workflow challenges.