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Hourly 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 ...

Data Management Specialist

Dallas, TX · 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 ...

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 ...

Kforce has a client in Findlay, TX that is seeking a Data Management & Reporting Analyst to support ... Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a ...

Manage all built contact lists * Consistently achieve or exceed monthly target(s) established by supervisor * Adhere to company policies and values * Work effectively in a collaborative work ...

Required : • 5+ years' experience in Master Data Management, data governance, data quality, and/or data architecture. • 2+ years' experience in the Insurance Industry • Experience managing full ...

Manage all built contact lists * Consistently achieve or exceed monthly target(s) established by supervisor * Adhere to company policies and values * Work effectively in a collaborative work ...

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Hourly Data Management information

Is data management in demand?

Data management is in high demand across many industries due to the increasing reliance on data-driven decision making. Professionals with skills in database tools, data governance, and analytics are sought after, and the role often requires familiarity with software like SQL, Excel, or data management platforms.

What is the difference between Hourly Data Management vs Data Analyst?

AspectHourly Data ManagementData Analyst
CredentialsBasic data handling certifications, data management coursesDegree in data science, statistics, or related fields
Work EnvironmentData entry, database maintenance, routine data tasksData interpretation, reporting, analysis projects
Employer & IndustryBusinesses needing data upkeep, IT firms, administrative rolesMarketing, finance, healthcare, and other sectors requiring insights

Hourly Data Management focuses on maintaining and updating data records, often involving routine tasks and database upkeep. Data Analysts interpret data to generate reports and insights, requiring more analytical skills and often higher education. While both roles work with data, their responsibilities and skill requirements differ significantly.

What are the most commonly searched types of Data Management jobs in Texas? The most popular types of Data Management jobs in Texas are:

Manager, Data Management

Genius Road, LLC

Dallas, TX • On-site

Other

Posted 16 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.