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Data Management Jobs in Spring, TX (NOW HIRING)

As the Director - Master Data management, you will be responsible for leading a regional, cross-functional team ensuring the integrity of Wesco Master Data and supporting processes. You will be ...

Master Data Management Architect

Houston, TX · On-site

$60.75 - $78.25/hr

This role plays a critical part in ensuring seamless data integration across ERP, CRM, and Engineering Data Management (PLM/EDM) systems, while defining and governing metadata standards, hierarchies ...

Master Data Management Architect

Houston, TX · On-site

$60.75 - $78.25/hr

This role plays a critical part in ensuring seamless data integration across ERP, CRM, and Engineering Data Management (PLM/EDM) systems, while defining and governing metadata standards, hierarchies ...

Data Management Engineer - OpenText

Houston, TX · On-site

$109K - $131K/yr

Work you'll do As a Data Management Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements. * Manage day-to-day ...

Responsible for evaluating new Data Management capabilities and technologies to drive business results and innovation to propel the organization's Data and Digital strategies * Accountable for ...

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Data Management information

See Spring, TX salary details

$27.6K

$86.4K

$153.1K

How much do data management jobs pay per year?

As of Jun 22, 2026, the average yearly pay for data management in Spring, TX is $86,448.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $111,700.00 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.

What are the most commonly searched types of Data Management jobs in Spring, TX? The most popular types of Data Management jobs in Spring, TX are:
What are popular job titles related to Data Management jobs in Spring, TX? For Data Management jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Management jobs in Spring, TX look for? The top searched job categories for Data Management jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Management jobs? Cities near Spring, TX with the most Data Management job openings:

Data management Specialist

Globalchannelmanagement

Houston, TX • On-site

$45 - $46/hr

Full-time

Posted 17 days ago


Job description

Data Management Specialist 3 needs 5 years

Data Management Specialist 3 requires:

  • Bachelor's degree in engineering, construction, or business or an equivalent combination
  • Pipelines, Compressors, Primavera P6
  • Project management
  • Thorough understanding of WBS and corresponding project estimate to help lead schedule planning efforts for projects
  • Advanced knowledge of planning side of all different phases (e.g. Permitting, Land, Survey and Construction) of pipelines and facilities construction projects identifying order of events

Data Management Specialist duties:

  • Leads baseline schedule creation and approval effort in collaboration with project team
  • Develops, maintains and manages project schedules for assigned major/tactical capital projects in collaboration with Project Team Members and Contractors.
  • Maintains project schedules including progress updates. Revises forecasts and evaluates impact of delays.
  • Communicates status of schedule and key risk areas to members of project management team