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Data Management Jobs in Alabama (NOW HIRING)

Na Oiwi Kane

Data Management Analyst

Huntsville, AL

$120K - $135K/yr

Overview Tactica Solutions, LLC is seeking a highly skilled and detail-oriented Data Management Analyst to support a Systems Engineering & Technical Assistance (SETA) contract for the U.S. Army Space ...

Tactica Solutions

Data Management Analyst

Huntsville, AL · On-site

$120K - $135K/yr

OverviewTactica Solutions, LLC is seeking a highly skilled and detail-oriented Data Management Analyst to support a Systems Engineering & Technical Assistance (SETA) contract for the U.S. Army Space ...

SMX

Data Management Specialist II (5047)

Huntsville, AL · On-site

SMX is looking for a highly motivated Data Management Specialist to support our government client in Huntsville, AL. Essential Duties & Responsibilities * Work closely with team members and customers ...

SMX

Data Management Specialist II (5047)

Huntsville, AL · On-site

$48K - $80K/yr

SMX is looking for a highly motivated Data Management Specialist to support our government client in Huntsville, AL. Essential Duties & Responsibilities * Work closely with team members and customers ...

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All JobsData Management JobsData Management Jobs in Alabama

Data Management information

See Alabama salary details

$28.1K

$88.1K

$155.9K

How much do data management jobs pay per year?

As of Jun 11, 2026, the average yearly pay for data management in Alabama is $88,051.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,800.00 and $113,800.00 per year, depending on experience, location, and employer.

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills such as data analysis, programming, and statistical knowledge, which can be acquired through training or certification programs at any age. Many professionals successfully transition into data analysis later in their careers by developing relevant skills and gaining experience with tools like Excel, SQL, and Python.

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 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 such as Excel, Tableau, or specialized platforms, along with attention to detail and problem-solving abilities, are also important for success in this field.

What can you do with data management?

Data management involves organizing, storing, and maintaining data to ensure its accuracy, security, and accessibility. Professionals in this field use tools like databases and data governance practices to support decision-making, compliance, and efficient operations within organizations.

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 tools, data governance policies, and data quality standards to support business operations and decision-making.

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 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.

More about Data Management jobs
What are the most commonly searched types of Data Management jobs in Alabama? The most popular types of Data Management jobs in Alabama are:
What are popular job titles related to Data Management jobs in Alabama? For Data Management jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Data Management jobs in Alabama look for? The top searched job categories for Data Management jobs in Alabama are:
What cities in Alabama are hiring for Data Management jobs? Cities in Alabama with the most Data Management job openings:
Data Management jobs near you
Infographic showing various Data Management job openings in Alabama as of June 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $88,051 per year, or $42.3 per hour.

Data Management Specialist

4pconsultinginc

Birmingham, AL • On-site

Contractor

Posted 20 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.