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Data Management Jobs in Spring, TX (NOW HIRING)

Enterprise Data Management * Lead the enterprise Master Data Management strategy and execution across key business domains including wells, assets, facilities, production, land, finance, vendors, and ...

The Data Management Coordinator (DMC) is responsible for all aspects of NASA's Aircraft Management Information System (NAMIS) administration and ensuring compliance with NAMIS requirements and inputs ...

The Data Management Coordinator (DMC) is responsible for all aspects of NASA's Aircraft Management Information System (NAMIS) administration and ensuring compliance with NAMIS requirements and inputs ...

The Data Management Coordinator (DMC) is responsible for all aspects of NASA's Aircraft Management Information System (NAMIS) administration and ensuring compliance with NAMIS requirements and inputs ...

Data Architect

Bellaire, TX ยท On-site

$57.25 - $73.75/hr

The Data Architect''''s role is to ensure high level of data quality across the enterprise through the creation and management of sound data management processes. This individual is responsible for ...

Data Architect

Houston, TX

$61 - $78.25/hr

The role requires an in-depth understanding of data management processes as well as extensive experience in data and document ingestion, and the development of Business Intelligence solutions. This ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed ...

Logistics Technician

Houston, TX ยท On-site

$15 - $20/hr

Join the dynamic and collaborative team at Katalyst Data Management (KDM)! KDM is seeking a Logistics Technician with great organizational skills. This is an exciting opportunity to play an integral ...

EnterpriseData Management * Lead the enterprise Master Data Management strategy and execution across key business domains including wells, assets, facilities, production, land, finance, vendors, and ...

Project Coordinator

Houston, TX ยท On-site

$60K - $65K/yr

Help define, implement, and promote project, process, and data standards. * Engage in regular and periodic reviews with the project team and clients. * Promote knowledge management and innovation ...

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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 Jul 13, 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 regardless of age. Many professionals successfully transition into data analysis later in their careers by gaining relevant skills and experience.

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.

Is data management a good skill?

Data management is a valuable skill for data management professionals, as it involves organizing, storing, and maintaining data to ensure accuracy and accessibility. Proficiency with database tools, data governance, and data quality standards enhances job performance and career prospects in this field.

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 and Excel, and knowledge of data governance and security practices. Attention to detail, problem-solving abilities, and familiarity with data modeling and cleaning are also important. Certifications such as Certified Data Management Professional (CDMP) can enhance qualifications.

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, and data quality tools, requiring skills in SQL, data modeling, and sometimes certifications like CDMP or DAMA-DMBOK. The role supports organizations in making informed decisions and complying with data regulations.

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:
Infographic showing various Data Management job openings in Spring, TX as of July 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $86,448 per year, or $41.6 per hour.
Data Governance Manager

Data Governance Manager

Crescent Energy

Houston, TX โ€ข On-site

Full-time

Posted 7 days ago


Job description

Crescent is a differentiated U.S. energy company committed to delivering value through a disciplined, returns-driven growth through acquisition strategy and consistent return of capital. Our long-life, balanced portfolio combines stable cash flows from low-decline production with a deep, high-quality development inventory.
Crescent is a top three producer (by gross operated production) in the Eagle Ford basin. Crescent's leadership is an experienced team of investment, financial and industry professionals that combines proven investment and operating expertise. For more than a decade, Crescent and our predecessors have executed on a consistent strategy focused on cash flow, risk management and returns. Through disciplined and accretive investments, we have successfully tripled the size of our company since going public in December 2021 while maintaining a strong balance sheet.
The Data Governance Manager is responsible for establishing, operationalizing, and continuously improving the organization's enterprise data governance and application data management capabilities. This role will lead the development of governance processes, data stewardship practices, data quality initiatives, and master data programs that ensure trusted, consistent, and business-aligned data across the enterprise.
This position serves as the bridge between business and technology teams, partnering closely with Operations, Engineering, Land, Finance, Regulatory, HSE, and IT to define and govern critical data assets. The Manager will be responsible for implementing governance frameworks, maintaining enterprise data standards, overseeing data quality management, and ensuring the integrity of master and reference data domains including wells, facilities, assets, vendors, customers, employees, and financial hierarchies.
With deep understanding of upstream oil and gas data domains and enterprise data management practices, this role will play a critical part in accelerating the company's journey toward becoming a data-driven, technology-enabled enterprise. This position aligns closely with the enterprise data strategy and governance objectives established by the Director of Data & Analytics.
Key Responsibilities:
Enterprise Data Management
  • Lead the enterprise Master Data Management strategy and execution across key business domains including wells, assets, facilities, production, land, finance, vendors, and employees.

  • Establish and maintain master data models, hierarchies, business definitions, ownership structures, and governance processes.

  • Partner with business stakeholders to define and maintain authoritative systems of record and systems of reference.

  • Develop and manage data matching, survivorship, deduplication, and record stewardship processes.

  • Define and enforce standards for master and reference data creation, maintenance, and retirement.

  • Support enterprise initiatives involving acquisitions, divestitures, and system integrations by ensuring consistent master data management practices.

  • Drive the creation of a trusted "single source of truth" for critical enterprise data domains.

Data Governance Program Leadership
  • Develop and operationalize an enterprise data governance framework including policies, standards, controls, stewardship models, and governance councils.

  • Facilitate governance committees and working groups to drive alignment across business units.

  • Define roles and responsibilities for data owners, stewards, custodians, and consumers.

  • Establish governance workflows for data issue resolution, policy enforcement, and exception management.

  • Create and maintain enterprise data standards, business glossaries, and metadata management processes.

  • Drive adoption of governance practices across both business and technology teams.

  • Promote data accountability and stewardship as core organizational capabilities.

Data Quality & Data Trust
  • Define and manage enterprise data quality strategies, metrics, scorecards, and continuous improvement initiatives.

  • Establish data quality monitoring processes for completeness, accuracy, consistency, validity, timeliness, and uniqueness.

  • Partner with Data Engineering, Analytics and Digital Enablement, and business teams to identify and remediate data quality issues.

  • Implement root-cause analysis processes to reduce recurring data issues.

  • Develop reporting and dashboards that provide visibility into data quality trends and governance effectiveness.

  • Establish data quality KPIs and governance performance measures.

Metadata, Catalog & Data Lifecycle Management
  • Lead the implementation and ongoing management of enterprise metadata, business glossary, and data catalog capabilities.

  • Maintain data lineage documentation across critical business processes and systems.

  • Partner with architecture and engineering teams to ensure metadata standards are embedded into the data platform.

  • Support information lifecycle management activities including classification, retention, archival, and disposition processes.

Business Partnership & Data Stewardship
  • Partner directly with business leaders and subject matter experts to define critical data elements, business rules, and governance priorities.

  • Build and lead a network of business data stewards across the organization.

  • Facilitate data governance training and awareness programs.

  • Support enterprise reporting, analytics, regulatory reporting, and operational decision-making through improved data quality and governance.

Compliance, Risk & Data Controls
  • Ensure governance processes support regulatory, financial, operational, and audit requirements.

  • Partner with Cybersecurity, Compliance, and Internal Audit teams to support data-related controls and risk management activities.

  • Assist in establishing data classification, privacy, and information protection standards.

  • Support audit activities involving data controls, data lineage, and governance processes.

  • Monitor adherence to governance policies and standards across the enterprise.

Leadership & Team Development
  • Lead and develop a team of data governance analysts, MDM specialists, and data stewards.

  • Foster a culture of accountability, collaboration, continuous improvement, and data ownership.

  • Establish clear goals, performance expectations, and development plans for team members.

  • Drive organizational adoption of governance and data management best practices.

Qualifications & Experience:
Education:
  • Bachelor's degree in Information Systems, Computer Science, Business, Engineering, Data Management, or a related field.

  • Master's degree is a strong plus.

  • Relevant certifications such as CDMP, PPDM or equivalent are preferred.

Experience:
  • 7+ years of experience in data governance, master data management, data quality, or enterprise data management.

  • 3+ years of leadership experience managing governance programs, MDM initiatives, or data management teams.

  • Industry experience in upstream oil and gas is strongly preferred.

  • Experience implementing enterprise data governance frameworks and stewardship programs.

  • Proven success leading cross-functional enterprise data initiatives.

  • Experience supporting cloud-based data platforms, preferably Snowflake or comparable environments.

Skills & Competencies:
  • Deep understanding of data governance frameworks, stewardship models, metadata management, and master data management principles.

  • Strong knowledge of oil and gas data domains including wells, facilities, production, land, reserves, finance, and HSE.

  • Experience with data catalog, lineage, metadata, and data quality tools.

  • Strong understanding of data modeling, business process management, and enterprise architecture concepts.

  • Ability to balance governance rigor with practical business outcomes.

  • Excellent stakeholder management and facilitation skills.

  • Strong communication and organizational change management capabilities.

  • Ability to influence business and technical leaders at all levels of the organization.

  • Strategic thinker with a pragmatic, business-aligned execution style.

Work Environment & Physical Requirements:
  • Primarily office-based with occasional travel to field offices and operational sites as needed.

  • Potential exposure to remote and high-risk environments, requiring adherence to safety protocols.

  • May involve walking, climbing, bending, or handling equipment during site visits.

  • Possible exposure to varying weather conditions (heat, cold, rain) while on-site at field offices.

  • Availability for emergency response and incident management, including after-hours support when required.

Crescent Energy is an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, gender/pregnancy, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status or any other legally protected status. Crescent Energy is also committed to compliance with all fair employment practices regarding citizenship and immigration status. If you require accommodation to complete the application process, please let us know by contacting recruitment@crescentenergyco.com.