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Data Management Jobs in Texas (NOW HIRING)

Requirements * 10+ years of experience in data management, data architecture, data governance, or related disciplines * 7+ years of leadership experience managing cross-functional teams including ...

Data Management Manager - Enterprise Platforms Location: Dallas, TX (Onsite/Hybrid) Job Type: 6-Month Contract (Potential Extension/Conversion) About the Role: We're seeking a strategic and hands-on ...

Data Management Manager Location: Dallas, TX Duration: 6+ Month Contract About the Role We are seeking an experienced Data Management Manager to lead a large-scale data organization responsible for ...

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Data Management Specialist

Dallas, TX ยท On-site

$70K - $92K/yr

Data Management Specialist Location: Onsite, Dallas, TX Position Summary The Data Management Specialist supports the Client's National Customer Service Improvement Project (CSIP) by ensuring the ...

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The position is accountable for defining the operating model for data management, establishing data governance and quality standards, partnering with IT on secure and scalable platform access, and ...

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Requirements * 10+ years of experience in data management, data architecture, data governance, or related disciplines * 7+ years of leadership experience managing cross-functional teams including ...

The Reference Data Management Project Lead will help enable data-driven decision-making and operational efficiency. We ask that you have a strong blend of data management expertise, governance ...

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 ...

The Reference Data Management Project Lead will help enable data-driven decision-making and operational efficiency. We ask that you have a strong blend of data management expertise, governance ...

They are seeking a highly skilled Senior Director of Data Management to lead cross-functional teams in advancing data quality, governance, and strategy to support business operations and analytics.

They are seeking an experienced Director of Master Data Management to lead enterprise-wide MDM initiatives, focusing on Customer and Supplier domains while driving strategic data initiatives that ...

The Reference Data Management Project Lead will help enable data-driven decision-making and operational efficiency. We ask that you have a strong blend of data management expertise, governance ...

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Data Management information

See Texas salary details

$28.9K

$90.5K

$160.2K

How much do data management jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data management in Texas is $90,505.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $116,900.00 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.

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?

Data management professionals need strong analytical skills, attention to detail, and proficiency with database tools such as SQL and Excel. Knowledge of data governance, data quality, and familiarity with data management software are also important for effective data organization and security.

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 Texas? The most popular types of Data Management jobs in Texas are:
What cities in Texas are hiring for Data Management jobs? Cities in Texas with the most Data Management job openings:
Infographic showing various Data Management job openings in Texas as of August 2026, with employment types broken down into 82% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $90,505 per year, or $43.5 per hour.

Manager, Data Management

Genius Road, LLC

Dallas, TX โ€ข On-site

Other

Posted 11 days ago


Job description

Manager, Data Management

Contract Position: 12 months + potential extension

Location: Dallas, TX (Local candidates only - Hybrid schedule)


We are seeking an experienced Manager, Data Management to lead a cross-functional team responsible for enterprise data architecture, governance, and modernization initiatives. This role will oversee Operational Data Stores (ODS), Historical Data Stores, and the evolution to modern Data Lake/Lakehouse platforms while ensuring reliable, secure, and scalable data solutions. The ideal candidate combines strong leadership capabilities with expertise in data management, governance, MDM, and enterprise data transformation.

Requirements

  • 10+ years of experience in data management, data architecture, data governance, or related disciplines
  • 7+ years of leadership experience managing cross-functional teams including Data Architects, Data Analysts, Business Analysts, Logical DBAs, Project Managers, and MDM professionals
  • Strong experience managing enterprise database platforms supporting operational and analytical environments
  • Proven experience implementing Master Data Management (MDM) programs and enterprise data governance initiatives
  • Knowledge of data management, data integration, and MDM tools; experience with Ab Initio is a plus
  • Experience building high-performing teams, managing capacity planning, workload balancing, and resource allocation
  • Experience delivering enterprise data modernization, migration, and cloud transformation initiatives
  • Strong understanding of data quality, metadata management, data lineage, retention policies, and compliance requirements
  • Experience with modern data platforms such as Databricks, Snowflake, Azure Synapse, or similar technologies
  • Familiarity with Data Lake/Lakehouse architectures, including Medallion Architecture concepts
  • Experience with data virtualization platforms such as Denodo is preferred
  • Knowledge of ETL/ELT processes, data ingestion, streaming technologies (Kafka, Spark Streaming), and distributed data architectures
  • Experience working within DevOps, DataOps, or agile delivery environments
  • Excellent communication, stakeholder management, leadership, and problem-solving skills

Responsibilities

  • Lead, mentor, and develop a cross-functional data team while fostering accountability, collaboration, and continuous improvement
  • Manage enterprise data management functions supporting ODS, Historical Data Stores, and Data Lake initiatives
  • Establish and enforce data governance policies, architecture standards, metadata practices, data lineage, and compliance requirements
  • Drive improvements in data quality, availability, and MDM capabilities across enterprise platforms
  • Support Data Architects by removing blockers, establishing standards, and promoting consistent architecture practices
  • Partner with technology, enterprise architecture, engineering, and business leaders to align data strategy with organizational priorities
  • Support implementation of modern Data Lake/Lakehouse platforms and migration from legacy environments while maintaining governance and architecture continuity
  • Manage delivery timelines, resources, risks, and stakeholder communications across concurrent data initiatives

Genius Road, LLC is proud to be a Certified Women s Business Enterprise, an Equal Opportunity Employer and values diversity. All employment is decided on the basis of qualifications, merit and business need.