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Data Management Jobs in Spring, TX (NOW HIRING)

INEOS Belgium

Data Management Lead

Houston, TX · On-site

Compensation Grade ONS-USD-35 We are seeking a strategic and forward-thinking Data Management Lead to play a pivotal role in shaping and advancing our data capabilities. This is a hands‑on ...

INEOS

Data Management Lead

Houston, TX · On-site

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 ...

Ineos

Data Management Lead

Houston, TX · On-site

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 ...

Bray Architects

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 ...

Katalyst Data Management

AI/ML Engineer

Houston, TX · On-site

$109K - $131K/yr

Join the dynamic and collaborative team at Katalyst Data Management (KDM)! KDM is seeking an AI/ML Engineer to support the operation, optimization, and reliability of the infrastructure powering our ...

Aetos Systems

Facility Data Manager

Houston, TX · On-site

Lead facility data management practices, standards, and lifecycle governance, ensuring alignment with organizational, federal, and regulatory requirements. * Architect and oversee data governance ...

Aetos Systems

Facility Data Manager

Houston, TX

Lead facility data management practices, standards, and lifecycle governance, ensuring alignment with organizational, federal, and regulatory requirements. * Architect and oversee data governance ...

Aetos Systems

Facility Data Manager

Houston, TX · On-site

Lead facility data management practices, standards, and lifecycle governance, ensuring alignment with organizational, federal, and regulatory requirements. * Architect and oversee data governance ...

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All JobsData Management JobsData Management Jobs in Spring, TX

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 Sep 12, 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 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 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 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 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 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 policies, and data quality tools, requiring skills in data analysis, SQL, and sometimes certifications like CDMP or DAMA-DMBOK. The role supports organizations in making informed decisions and complying with data regulations.

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, attention to detail, and the ability to organize large datasets are also essential. Certifications such as Certified Data Management Professional (CDMP) can enhance job prospects.
More about Data Management jobs

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 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 jobs near you
Infographic showing various Data Management job openings in Spring, TX as of September 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $86,448 per year, or $41.6 per hour.

Data Management Lead

Houston, TX • On-site

INEOS Belgium
See more jobs at INEOS Belgiumexternal

Other

Posted 11 days ago

Key responsibilities

  • Develop and execute a comprehensive data management practice, including the operating model, governance framework, delivery roadmap, standards, controls, and resourcing plan.

  • Design and implement scalable, secure, and maintainable data architectures using Snowflake, Microsoft Azure, Power BI, and related tools.

  • Lead data and analytics projects from conception through execution, ensuring timely delivery and alignment with business objectives.

Job description

We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions.

Our people make all the difference in our success.

Compensation Grade

ONS-USD-35

We are seeking a strategic and forward-thinking Data Management Lead to play a pivotal role in shaping and advancing our data capabilities. This is a hands‑on leadership role that combines technical credibility with strong managerial, governance, and delivery capability. 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 leading planned data engineering, analytics, and AI resources as the team grows. This role will ensure that trusted, well‑governed data products are available to support upstream asset management, operations, production surveillance, planning, financial analysis, and executive reporting. The ideal candidate will bring 10+ years of experience in data architecture, data engineering, or a related role, with a focus on the upstream oil and gas sector.

Primary Job Responsibilities
  • Develop and execute a comprehensive data management practice, including the operating model, governance framework, delivery roadmap, standards, controls, and resourcing plan.
  • Define clear roles, responsibilities, decision rights, and ways of working for data management across the business, IT, and future data team members.
  • Foster a collaborative, business-focused team culture that values transparency, data quality, continuous improvement, and disciplined delivery.
  • Develop practical standards, reusable delivery patterns, and documentation to enable consistent execution across the team.
  • Drive innovation by staying current with industry trends and integrating new technologies and methodologies into the data strategy.
  • Design and implement scalable, secure, and maintainable data architectures using Snowflake, Microsoft Azure, Power BI, and related tools
  • Develop and manage data models, schemas, pipelines, integrations, curated datasets, and semantic layers that support business intelligence, analytics, and future AI use cases.
  • Ensure data integrity, security, and compliance with industry regulations and company policies.
  • Oversee the deployment and optimization of Microsoft Azure cloud services for data storage, processing, and management.
  • Utilize Power BI to create and maintain interactive dashboards and reports that provide actionable insights to stakeholders.
  • Collaborate with IT and other departments to ensure seamless integration and performance of data tools and platforms.
  • Work with IT and cybersecurity resources to ensure data access and integrations are secure, supportable, and consistent with company standards
  • Establish and maintain practical data governance processes covering data ownership, stewardship, business definitions, data quality, access controls, change control, and issue escalation.
  • Implement data quality frameworks, monitoring practices, and remediation workflows to improve accuracy, completeness, timeliness, and reliability of critical dataset.
  • Address and resolve data-related issues and provide ongoing support for data management best practices.
  • Work closely with business leaders, internal users, analysts, and other stakeholders to understand data needs and translate them into technical solutions with a governed delivery roadmap.
  • Communicate complex data concepts and architectural designs, trade‑offs, risks, and delivery progress effectively to both technical and non‑technical audiences.
  • Recruit, onboard, mentor, and lead data engineering, analytics engineering, and AI resources as the data management team grows.
  • Providing day‑to‑day prioritization, coaching, workload management, and performance feedback for team members and supporting contractors or vendors.
  • Manage relationships with external vendors and partners as needed to support data initiatives.
  • Lead data and analytics projects from conception through execution, ensuring timely delivery and alignment with business objectives, clear scope, practical timelines, and sustainable support arrangements.
  • Manage budgets, resources, priorities and vendor support effectively to achieve project goals and maintain business confidence in the data management practice.
Education & Experience
  • Bachelor of Science degree in Data Science, Computer Science, Engineering Information Systems or related
  • Minimum of 10 years’ experience in data management, data architecture, data engineering, analytics or a related role, with a focus on the upstream oil and gas sector.
  • Proven experience with Snowflake, Microsoft Azure, and Power BI.
  • Demonstrated experience establishing, leading, or materially improving data management, data engineering, or analytics function.
  • Prior team leadership or direct management experience, including coaching, prioritization, workload management, and performance feedback.
  • Strong data governance experience, including data ownership, stewardship, business definitions, data quality, access controls, and change management.
  • Exceptional problem‑solving abilities and a strategic mindset.
  • Strong communication skills, with the ability to articulate technical concepts to diverse audiences.
  • Application Deadline:
  • Application Deadline: August 23, 2026
  • Please note that applications received after the deadline will not be considered. Only resumes of candidates being considered will be acknowledged.
  • Location Houston, TX, United States
  • Type Full-time
  • Posted 05 August 2026
  • Requisition ID REQ-2878
Job Details
  • Location Houston, TX, United States
  • Discipline IT
  • Type Full-time
  • Business INEOS Energy
  • Posted 05 August 2026
  • Requisition ID REQ-2878
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