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Manager Semantic Jobs in Chicago, IL (NOW HIRING)

Semantic Data Modeler

Chicago, IL ยท On-site

$56.50 - $73.25/hr

Role: Semantic Data Modeler Experience: - Minimum 8+ Years Location: - Chicago, IL (3 days/Week ... Build and manage scalable knowledge graph solutions, including data ingestion, linking, and ...

Senior Semantic Web Engineer (Hybrid)

Chicago, IL ยท On-site

$126K - $166K/yr

Position:- Senior Semantic Web Engineer Location:- Chicago, IL (Hybrid) Contract WHAT YOU'LL DO ... Build and manage scalable knowledge graph solutions, including data ingestion, linking, and ...

Senior AI Engineer

Chicago, IL ยท On-site

$126K - $166K/yr

Partner with data architects, domain SMEs, and governance teams to validate semantic definitions, manage change, and ensure platform scalability and adoption. * Conduct code reviews, mentor engineers ...

Knowledge Modeler / Ontologist Manager

Chicago, IL ยท On-site

$56.50 - $73.25/hr

Apply ontology governance standards: version control, change management, and quality gates (W3C ... Semantic Web Standards: Working knowledge of W3C standards and best practices for linked data and ...

Bachelor's degree in Data Science or a related discipline. * 1+ years of experience implementing or managing enterprise knowledge graph platforms or semantic technologies. * 1+ years of experience ...

Lead, Business Information Architect

Chicago, IL ยท On-site

$62.50 - $81.50/hr

Bachelor's degree in Information Systems, Data Management, Business, Computer Science, or a related field. * 7+ years of progressive experience in information architecture, data governance, semantic ...

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Manager Semantic information

See Chicago, IL salary details

$29.4K

$64.5K

$116.9K

How much do manager semantic jobs pay per year?

As of Aug 10, 2026, the average yearly pay for manager semantic in Chicago, IL is $64,550.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,400.00 and $71,100.00 per year, depending on experience, location, and employer.

What are the titles for top level managers?

Top-level managers in organizations are typically called executives, such as Chief Executive Officer (CEO), Chief Operating Officer (COO), Chief Financial Officer (CFO), and President. These roles are responsible for setting strategic goals, making high-level decisions, and overseeing overall company performance. They often hold advanced degrees and extensive leadership experience.

What is the difference between Manager Semantic vs Data Analyst?

AspectManager SemanticData Analyst
Required CredentialsBachelor's degree in relevant field, often with certifications in semantic technologies or data managementBachelor's degree in data science, statistics, or related field; certifications in data analysis tools are common
Work EnvironmentTeam leadership, strategic planning, overseeing semantic projectsData collection, analysis, reporting, and visualization
Employer & Industry UsageUsed in tech, AI, and data-driven companies managing semantic dataUsed across industries for data interpretation and decision-making

The main difference is that a Manager Semantic focuses on overseeing semantic data projects and managing teams, while a Data Analyst primarily analyzes data to generate insights. Both roles require strong analytical skills, but the Manager Semantic emphasizes project management and semantic technologies, whereas the Data Analyst concentrates on data interpretation and reporting.

What are the most commonly searched types of Semantic jobs in Chicago, IL? The most popular types of Semantic jobs in Chicago, IL are:
What are popular job titles related to Manager Semantic jobs in Chicago, IL? For Manager Semantic jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Manager Semantic jobs in Chicago, IL look for? The top searched job categories for Manager Semantic jobs in Chicago, IL are:

Semantic Data Modeler

VeeRteq Solutions Inc.

Chicago, IL โ€ข On-site

$56.50 - $73.25/hr

Contractor

Posted 16 days ago


Job description

Role: Semantic Data Modeler

Experience: - Minimum 8+ Years

Location: - Chicago, IL (3 days/Week)

 

Semantic Data Modeler is responsible for designing, developing, and managing semantic data models, ontologies, taxonomies, and knowledge graph solutions to support healthcare data intelligence using graph databases, AI, and cloud platforms.

Responsibilities: -

  • Serve as a subject matter expert in semantic data modeling on the graph data team, contributing to initiatives that integrate AI, LLMs, and advanced graph technologies.
  • Collaborate with senior engineers and architects to standardize tooling, design patterns, semantic models, and modeling approaches.
  • Help define the technical direction for core semantic modeling capabilities, ensuring scalable and robust solutions.
  • Independently research, evaluate, and propose innovative solutions to complex and ambiguous data modeling challenges.
  • Build and manage scalable knowledge graph solutions, including data ingestion, linking, and querying mechanisms.
  • Write, test, and document clean, maintainable code, and apply automation to testing, integration, and deployment processes.
  • Partner with product owners to refine features into actionable user stories that deliver business value.
  • Evaluate and recommend external taxonomies and ontologies; author new ones as needed to support the domain.
  • Recommend and implement semantic modeling tools, platforms, and technologies.
  • Support ontology governance processes and enterprise graph management tools.
  • Collaborate with stakeholders, including data scientists, engineers, and business teams, to understand requirements and build effective semantic solutions.
  • Provide technical mentorship to junior team members on semantic data modeling principles and implementation patterns.

Educational Qualifications: -

  • Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
  • Technical certification in multiple technologies is desirable.

 

Skills: -

Mandatory skills

  • Min 8+ years of hands-on experience in semantic data modeling or knowledge graph engineering, including leading complex projects.
  • Proven experience with graph databases or triple stores such as Amazon Neptune, Neo4j, Virtuoso, or GraphDB.
  • Practical experience with RDF, OWL, SPARQL, and ideally SHACL.
  • Experience with relational databases (SQL) and graph databases (SPARQL).
  • Hands-on experience with ontology/graph tools such as Protégé, TopBraid, or Metaphactory.
  • Solid understanding of data modeling, ETL processes, and data governance.
  • Experience evaluating, creating, and managing taxonomies and ontologies.

 

Good to Have Skills

  • AWS Amazon Neptune.
  • Metaphactory.
  • Familiarity with other languages (e.g., Java, C#, Clojure).
  • Understanding of healthcare ontologies and standards like SNOMED-CT, LOINC, RxNorm, and ICD-10.
  • Exposure to AI, LLMs, and advanced graph technologies.
  • Experience supporting ontology governance and enterprise graph management platforms.

VeeRteq Solutions is an Equal Opportunity Employer