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Data Taxonomy Jobs in Spring, TX (NOW HIRING)

Master Data Management Architect

Houston, TX · On-site

$60.75 - $78.25/hr

Provide thought leadership in master data governance, taxonomy management, and data architecture best practices. * Train and mentor business data stewards, process owners, and technical teams.

Define and enforce the canonical product data model: required fields, naming conventions, variant attribute standards, and category taxonomy across all 300 brands * Create and maintain the master ...

Define and enforce the canonical product data model: required fields, naming conventions, variant attribute standards, and category taxonomy across all 300 brands * Create and maintain the master ...

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Document Control Clerk

Houston, TX · On-site

$28 - $35/hr

Executes Microsoft Teams site creation and folder population in accordance with the taxonomy ... Responsible for daily intake monitoring and Master Document Register / tracker data entry for ...

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Accountable for engineering taxonomy, engineering specific quality acceptance criteria, metadata ... Data Management systems. Conduct initial quality and completeness checks (format, required ...

Produce clear, audit ready documentation covering: o Risk register structure and data definitions o ... taxonomy 2. Risk Scoring and Prioritization Model o Documented likelihood and impact scales o ...

... data definitions o Risk scoring methodology o Governance workflows and decision authorities • ... taxonomy 2. Risk Scoring and Prioritization Model o Documented likelihood and impact scales o ...

... data definitions o Risk scoring methodology o Governance workflows and decision authorities • ... taxonomy 2. Risk Scoring and Prioritization Model o Documented likelihood and impact scales o ...

... ML models, and taxonomy management. UiPath Integration Service: * Orchestrate API-based ... data management. * Strong understanding of enterprise automation design patterns and solution ...

Business Process Analyst

Houston, TX · On-site

$58K - $78K/yr

Collaborate with legal, compliance, IT, and business units to manage data lifecycle and retention practices * Assist with the development and maintenance of records retention schedules and taxonomy

We are looking for a motivated, data-driven individual who can bring their technical knowledge to ... Ability to lead conversation around information architecture, taxonomy and URL structure Star ...

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Data Taxonomy information

What does a data taxonomy specialist do?

A data taxonomy specialist develops and maintains structured classifications of data within an organization to improve data organization, searchability, and governance. They analyze data assets, create standardized naming conventions, and often use tools like metadata management systems to ensure consistent data categorization across systems.

What are some typical challenges faced when developing and maintaining a data taxonomy within an organization?

One common challenge when working in data taxonomy is ensuring consistency across different departments that may use varied terminology or classification standards. Data taxonomists often need to facilitate collaboration between stakeholders to agree on definitions and structures, which requires strong communication and negotiation skills. Another challenge is keeping the taxonomy up-to-date as business needs and data sources evolve, necessitating regular reviews and updates. Successfully navigating these issues helps improve data discoverability, governance, and overall business intelligence.

What is the highest paying job in data?

The highest paying roles in data often include Data Science Directors, Chief Data Officers, and Data Engineering Managers, with salaries exceeding $150,000 annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with extensive experience and relevant certifications.

What is data taxonomy?

Data taxonomy is a structured classification system that organizes data into categories and subcategories, enabling easier data management, retrieval, and analysis. Data professionals often use standards, metadata, and tools like data modeling to develop and maintain effective taxonomies.

What is the difference between Data Taxonomy vs Data Analyst?

AspectData TaxonomyData Analyst
Primary FocusOrganizing and classifying data structuresAnalyzing data to extract insights
Skills & CertificationsData modeling, taxonomy development, data management certificationsStatistical analysis, SQL, data visualization skills
Work EnvironmentData management teams, data governance departmentsBusiness units, analytics teams
Industry UsageData governance, information architectureBusiness intelligence, reporting

Data Taxonomy involves creating structured classifications for data assets, ensuring consistency and clarity across systems. Data Analysts focus on interpreting data to support decision-making. While both roles work with data, Data Taxonomy emphasizes data organization, whereas Data Analysts analyze data for insights.

How to become a data taxonomy?

To become a data taxonomy specialist, develop skills in data management, classification, and metadata standards, often through degrees in information science, computer science, or related fields. Gaining experience with data modeling tools, taxonomy development, and industry standards like Dublin Core or SKOS can enhance qualifications; certifications in data management or taxonomy design are also beneficial.

What are the key skills and qualifications needed to thrive as a Data Taxonomist, and why are they important?

To thrive as a Data Taxonomist, you need a strong background in information science, data organization, and metadata management, often supported by a degree in library science, information systems, or a related field. Familiarity with taxonomy management tools, data modeling software, and standards such as SKOS or RDF is commonly required. Attention to detail, analytical thinking, and effective communication are essential soft skills for collaborating across teams and ensuring data consistency. These skills and qualifications are crucial for creating structured data frameworks that improve data discoverability, usability, and governance.
What are popular job titles related to Data Taxonomy jobs in Spring, TX? For Data Taxonomy jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Taxonomy jobs in Spring, TX look for? The top searched job categories for Data Taxonomy jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Taxonomy jobs? Cities near Spring, TX with the most Data Taxonomy job openings:
Infographic showing various Data Taxonomy job openings in Spring, TX as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution.
Data Architect / Data Modeler (SAP)

Data Architect / Data Modeler (SAP)

First Genesis

Houston, TX • On-site

Contractor

Posted 7 days ago


Job description

Company Description
Job Description
Job Title: IT - Application - Data Modeler Level IV
Location: Houston, TX
Job Description:
Title: Data Architect/Data Modeler
Need: We have an immediate opening for a Data Design Lead on the Data and Analytics team. The team works closely with the business to proactively develop solutions, deliver training, and understand the current and future technologies needed to understand data.
Work environment: The work environment is fast paced and dynamic. Individuals will be handling multiple activities in a team as well as individual contributor environment.
Primary functions: data architecture, data development and design, data quality management, reference and master data management, data integration, data governance
Primary Deliverables: Data architecture, data workflow logical models, physical source data models, data profiling reports and data audits, data definitions, data taxonomy, data metrics, meta-data, data lineage, data cleansing services
Activities: data modeling, data audit, detailed data design, define rules, establish master data solutions, define hierarchies and affiliations, distribute reference and master data, profile/analyze/assess data quality, design data quality management procedures, clean and correct data quality defects, establish data governance
Requirements:
  • Demonstrate critical thinking, analytical skills, and employ judgment to offer thoughtful, concise input toward resolutions of problems.
  • Be able to translate data requirements into business processes and reverse engineer business processes into data requirements Comprehension of DevOps and Agile development and application to data centric architecture and solutions
  • Strong communication and interpersonal skills with strong English proficiency
  • Leadership skills needed to successfully promote ideas, coordinate work activities, and plan deliverables within a project team.
  • Minimum Bachelor's Degree in Engineering Technology, Computer Science, or closely related field.
  • A minimum of 5 years' experience in SAP Data Management and Governance, SAP Data Services (Data Extract, Data Profiling, de-duplication)
  • Advanced competency in TOAD for Oracle, SQL Server Database, SAP HANA, R Programming and Tableau

Technical Competencies:
  • Advanced expert database handling languages (SQL and variants)
  • Expert in data modeling (physical and logical), ER diagrams, data dictionary, data map, normalize/denormalize, agile data modeling
  • Expert in data manipulation tools such as: SSMS, SSIS, TOAD, Access, Excel, Info Steward, Data Services
  • Practical skill sets in BI and Data visualization tools
  • Knowledge of other programming languages and ability to write code (i.e. VBA, python, XML)
  • Working knowledge of ETL
  • Working knowledge of SAP
  • Basic Project Management and Business Process modeling

Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines. #3568