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Semantic Jobs in Texas (NOW HIRING)

Vizient

Senior Ontology and Knowledge Engineer

Irving, TX · On-site

$102K - $179K/yr

In this role, you will develop and maintain semantic ontologies and models that establish consistent business meaning and enable high-quality, interoperable data across the organization. You will ...

NTT DATA, Inc.

Ontology Expert - Remote

Dallas, TX · On-site

$100 - $130/hr

The role focuses on building semantic models that enable interoperability, reasoning, knowledge representation, and explainable AI across clinical and healthcare enterprise systems. Key ...

Ascentt

Data Architect / Data Modeler

Plano, TX · On-site

Data Architect - Data & Semantic Modeling Role Overview We are seeking an experienced Data Architect with a strong focus on enterprise data modeling, semantic modeling, and modern data platform ...

K&L Gates

Power BI Developer

Austin, TX · On-site

$111K - $209K/yr

Power BI & Semantic Model Development * Design, build, and maintain interactive, high-performing Power BI dashboards. * Implement semantic models in Microsoft Fabric to enable reusable datasets ...

Ascentt

Data Architect / Data Modeler

Plano, TX · On-site

Responsibilities : • Design and maintain conceptual, logical, physical, and semantic data models to support reporting, analytics, operational, and advanced data use cases. • Define scalable data ...

The LaSalle Group

Analytics Engineer

Fort Worth, TX · On-site

$60 - $70/hr

Understanding how to build trusted semantic layers that support AI and modern analytics is increasingly important, though Snowflake expertise is secondary to strong modeling fundamentals. Key ...

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Showing results 21-40

All JobsSemantic JobsSemantic Jobs in Texas

Semantic information

See Texas salary details

$51.7K

$110.6K

$161.6K

How much do semantic jobs pay per year?

As of Sep 5, 2026, the average yearly pay for semantic in Texas is $110,563.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $124,400.00 per year, depending on experience, location, and employer.

What is a semantic job?

A Semantic job typically involves working with meaning and context in language, data, or technology. It may include roles in natural language processing (NLP), knowledge representation, search engine optimization (SEO), or semantic web technologies. Professionals in this field develop algorithms, ontologies, and models to improve understanding and classification of information. These jobs are common in AI, data science, and digital marketing industries.

What are the key challenges faced by semantic engineers when implementing knowledge graphs in large organizations?

Semantic Engineers often encounter challenges related to integrating disparate data sources, ensuring data quality, and aligning ontologies across departments. In large organizations, there can be legacy systems and inconsistent data formats, making it difficult to create a unified semantic model. Additionally, Semantic Engineers must collaborate closely with data architects, subject matter experts, and software developers to ensure the knowledge graph accurately reflects the organization's information needs and remains scalable as requirements evolve.

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

To thrive as a Semantic Analyst, you need expertise in linguistics, natural language processing (NLP), data analysis, and a relevant degree such as linguistics, computer science, or information science. Familiarity with tools like Python, NLP libraries (e.g., NLTK, spaCy), and semantic annotation systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex language data and collaborate with technical teams. These competencies are vital to accurately extract, structure, and apply meaning from language data, driving insights and solutions in various industries.

What is the difference between Semantic vs Data Analyst?

AspectSemanticData Analyst
Required CredentialsBackground in linguistics, computer science, or related fields; knowledge of semantic web technologiesDegree in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentResearch-focused, often in tech or AI companies, working on language understandingBusiness or research settings, analyzing data to inform decisions
Industry UsageUsed in AI, NLP, and semantic web projectsUsed across finance, marketing, healthcare, and other sectors
Common Search/ComparisonSemantic vs Data Analyst

Semantic professionals focus on understanding and structuring meaning in language and data, often working with AI and NLP technologies. Data Analysts interpret data sets to generate insights for business decisions. While both roles involve data, Semantic roles emphasize language and knowledge representation, whereas Data Analysts focus on statistical analysis and reporting.

What are the most commonly searched types of Semantic jobs in Texas?

The most popular types of Semantic jobs in Texas are:

What are popular job titles related to Semantic jobs in Texas?

For Semantic jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Semantic jobs in Texas look for?

The top searched job categories for Semantic jobs in Texas are:

Semantic jobs near you
Infographic showing various Semantic job openings in Texas as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 71% Physical, 6% Hybrid, and 23% Remote job distribution, with an average salary of $110,563 per year, or $53.2 per hour.

Lead/Director, Platform Product Management - Knowledge & Semantic Layer

Vizient

Irving, TX • On-site

$221K - $232K/yr

Full-time

Re-posted 28 days ago

Key responsibilities

  • Lead the strategy, prioritization, and roadmap alignment of major platform domains including semantic models, knowledge services, and AI-ready context layers.

  • Partner with cross-functional teams to define platform investment priorities, improve platform reuse, and support AI-assisted development workflows.

  • Guide and develop a team of platform product professionals while establishing standards for discovery, roadmap planning, and adoption.

Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary:


In this role, you will lead the strategy, prioritization, and evolution of one or more major internally facing platform domains. You will own how Vizient organizes, connects, and interprets knowledge across products, including semantic models, knowledge services, matching logic, and AI-ready context layers. You will align platform investments with enterprise priorities, engineering capacity, AI Delivery strategy, architecture direction, and AI-first product delivery practices while partnering across cross-functional teams to improve internal developer productivity, accelerate product delivery, and enable scalable, secure, and reusable platform capabilities.

Responsibilities:

  • Lead strategy, prioritization, and roadmap alignment across multiple internal platform capability areas, including semantic models, knowledge services, matching logic, AI-ready context layers, and related platform capabilities.
  • Partner with Vizient Intelligence engineering, AI Delivery, architecture, security, and product leadership to define platform investment priorities and long-term platform strategy.
  • Establish decision frameworks that sequence platform capabilities, address technical debt, improve platform reuse, enhance internal developer productivity, and support AI-assisted and agentic development workflows.
  • Drive the evolution of semantic layers, metadata, ontologies, taxonomies, entity resolution, and reusable knowledge services that improve consistency, interoperability, and AI enablement across products.
  • Develop platform capabilities that support enterprise data products, intelligent search and retrieval, healthcare domain modeling, and AI-ready contextual experiences.
  • Align platform roadmaps with measurable outcomes including reduced delivery friction, increased adoption, stronger governance, faster product delivery, and improved AI-first delivery maturity.
  • Facilitate executive stakeholder alignment on platform direction, funding, dependencies, tradeoffs, adoption expectations, and AI-first operating model changes while representing platform priorities in leadership forums.
  • Resolve complex cross-functional priorities across engineering, AI Delivery, architecture, product, and platform consumers by translating technical strategy into business-relevant decisions.
  • Guide and develop a small team of platform product professionals while establishing lightweight product management standards, discovery practices, roadmap narratives, success measures, prompt and context patterns, release planning, adoption planning, and responsible AI tool usage.
  • Build strong partnerships across engineering, AI Delivery, architecture, security, design, and internal product teams to drive platform adoption and consistent delivery outcomes.

Qualifications:

  • Relevant degree preferred.
  • 7 or more years of relevant experience required.
  • Experience leading product management, technical product management, enterprise platform products, data and analytics platforms, AI/ML products, developer platforms, AI-enabled software delivery, or enterprise technology initiatives.
  • Experience managing semantic platforms, knowledge services, semantic layers, knowledge graphs, ontologies, taxonomies, metadata, entity resolution, and enterprise knowledge management capabilities.
  • Experience defining and delivering platform roadmaps that support AI/ML enablement, enterprise data products, intelligent search and retrieval, AI-ready context layers, and cross-functional platform strategy.
  • Experience partnering with engineering, AI Delivery, architecture, and product leadership to deliver enterprise platform capabilities and influence platform investment priorities.
  • Knowledge of healthcare data, healthcare domain modeling, enterprise information architecture, governance, and reusable platform capabilities preferred.
  • Proven success leading complex cross-functional platform initiatives, influencing senior stakeholders, and driving enterprise adoption.
  • Strong technical fluency across architecture, data, AI, integration, identity and access management, governance, internal developer workflows, and agentic or AI-assisted development practices.
  • Demonstrated leadership, communication, strategic thinking, technical stakeholder management, and coaching skills with the ability to build scalable product management practices, influence technical tradeoffs and AI-first operating model decisions, and maintain a lean, high-impact operating model.

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $117,600.00 to $206,000.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

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