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Data Taxonomy Jobs in Texas (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.

Data / Information Architect

Dallas, TX · On-site

$60 - $77/hr

... taxonomy, and data discovery. • 2 - Familiarity with data governance frameworks and compliance requirements. • 5 - Extensive hands-on experience with Databricks, Collibra, Unity Catalog, and ...

... taxonomy services, data enrichment, hierarchy management, business semantics management and data governance. • Experience with Jira and Remedy (or comparable) required. JQL experience is preferred ...

Taxonomy & Controlled Vocabulary Design • Design, build, and maintain enterprise taxonomies, controlled vocabularies, and hierarchical classification systems across content and data domains. • ...

Information Architect

Southlake, TX · On-site

$51.60 - $57.33/hr

Support knowledge organization workshops to align enterprise taxonomy and data models across business units. * Develop and manage taxonomy and ontology governance processes, including change ...

Data Scientist About Us: At Codvo, we are committed to building scalable, future-ready data ... Map the customer's equipment taxonomy to NEIO's equipment family catalog - confirm coverage, flag ...

Data Scientist About Us: At Codvo, we are committed to building scalable, future-ready data ... Map the customer's equipment taxonomy to NEIO's equipment family catalog - confirm coverage, flag ...

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 ...

Item Management Assistant

Houston, TX · On-site

$40K - $46K/yr

Researches and validates item attributes, taxonomy categories, and required fields to ensure data completeness and consistent nomenclature. * Maps items across internal entities and coordinates ...

Principal Data Engineer

Westlake, TX · On-site +1

$109K - $132K/yr

Ensures alignment to enterprise data, analytics and insights strategy, taxonomy, and DevSecOps practices. Primary Responsibilities: * Drives the execution of multiple development work streams and ...

Showing results 21-40

Data Taxonomy information

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 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.

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 job categories do people searching Data Taxonomy jobs in Texas look for? The top searched job categories for Data Taxonomy jobs in Texas are:
What cities in Texas are hiring for Data Taxonomy jobs? Cities in Texas with the most Data Taxonomy job openings:
Infographic showing various Data Taxonomy job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Information Security GRC Engineer (OneTrust / NIST)

Prolim Global

Plano, TX • On-site

Contractor

Re-posted 9 days ago


Job description

Information Security GRC Engineer (OneTrust / NIST)

Plano, Texas (Hybrid)

Description

We are seeking a hands‑on GRC Engineer & Risk Analytics professional who will implement and scale a NIST‑aligned control and risk framework in OneTrust while also conducting targeted risk and control assessments to validate design and operating effectiveness. You will connect process, data, and automation so department leaders can see—and reduce—risk in near‑real time through role‑based dashboards and scorecards. You’ll partner with Security Engineering, IT, Audit, and business control owners to streamline assessments, evidence collection, POA&M tracking, and reporting.

Focus split: approximately 70% OneTrust configuration, integrations, data modeling, and dashboards; approximately 30% targeted assessments and facilitation.

Module ownership on Day 1: OneTrust Integrated Risk Management (IRM) and Third‑Party Risk Management (TPRM).

What you’ll be doing

  • Model the control framework in OneTrust: map NIST CSF and NIST 800‑53 control families, control objectives, test procedures, evidence types, and ownership.
  • Configure assessment templates (application/infrastructure, inherent/residual risk, third‑party due diligence, control attestations) with automated workflows, notifications, and approvals.
  • Stand up a POA&M lifecycle (defect creation, risk acceptance, due dates, escalations, verifications) and connect to tickets for remediation traceability.
  • Build role‑based dashboards and departmental scorecards that surface KRIs/KPIs (e.g., control coverage, overdue actions, risk heatmaps, SLA adherence).
  • Establish data taxonomy and metadata (assets, business processes, data classifications) aligned to controls and obligations to support consistent analytics.
  • Own the end‑to‑end third‑party risk workflow in OneTrust: inherent risk profiling, tiering, questionnaire selection, and residual risk calculation.
  • Design and maintain due‑diligence questionnaires and control attestations; streamline evidence collection and follow‑ups via automated reminders and SLAs.
  • Track remediation and POA&Ms for vendors; manage risk acceptances, exceptions, and expirations with clear ownership and timelines.
  • Publish vendor scorecards and portfolio‑level insights for department leaders; highlight concentration risk, critical suppliers, and overdue actions.
  • Integrate TPRM data with IRM objects (assets, processes, controls) to show end‑to‑end exposure and dependencies.
  • Integrate OneTrust with CMDB, Risk reporting platforms to auto‑enrich risks, controls, and assets.
  • Define data quality rules and reconciliation checks; implement connectors or API jobs to keep dashboards near‑real‑time and reduce manual evidence collection.
  • Partner with Analytics to publish curated Power BI datasets for executives and technical teams.
  • Conduct spot assessments and control testing to validate design and operating effectiveness and calibrate automation.
  • Translate FFIEC/GLBA/SOX and policy requirements into measurable controls and department‑owned obligations; document rationales and residual risk.
  • Facilitate remediation planning with control owners; track POA&Ms and risk acceptances to closure with clear RACI and deadlines.
  • Create playbooks, test scripts, and user guides; run enablement sessions for control owners and assessors to drive adoption.
    What you’ll deliver in the first 6–12 months:
  • A fully modeled NIST-aligned control catalog in OneTrust IRM and TPRM, complete with owners, testing procedures, evidence, and mapped obligations.
  • 3–5 data integrations operational (for instance, CMDB, Archer, Posture Management) enabling automated evidence and asset-to-control mapping.
  • Departmental scorecards along with an executive dashboard (showing trendlines, heatmaps, top risks, overdue actions, and risk reduction by department).
  • Enhanced assessment throughput with a reduced cycle time (targeting a 30–40% improvement from baseline).
  • Improved on-time completion of POA&M (targeting an increase of 20–30%) with a decrease in repeat findings through structured root-cause identification.
  • Published and operational governance framework artifacts (including a governance calendar, defined roles, training materials, and standard operating procedures).

Requirements

• 5+ years hands‑on experience implementing/administering GRC platforms (OneTrust preferred; Archer/ServiceNow GRC acceptable with commitment to OneTrust ramp‑up).

• Working knowledge of NIST CSF and NIST 800‑53 and how to translate obligations into measurable controls and tests.

• Experience configuring questionnaires, workflows, object models, APIs, and building role‑based dashboards.

• Data skills in Power BI, SQL, or Python for data prep/transformations that feed analytics.

• Ability to tell the risk story—translate technical signal into business‑relevant insights for department leaders.

• Bachelor’s degree or equivalent practical experience.

Added bonus if you have

• OneTrust GRC/IRM certifications; CRISC, CISA, or CISSP.

• Prior integrations with ServiceNow, Jira, SailPoint/IDP, Qualys/Tenable, or cloud platforms (AWS/Azure).

• Experience setting up control attestation/evidence automation and KRI/KPI scorecards across business units.

• Background in financial services or familiarity with FFIEC/GLBA/SOX supervisory expectations.