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Manager Semantic Jobs in Minnesota (NOW HIRING)

Senior AI Engineer

Virginia, MN · On-site

$100 - $130/hr

  • Medical

  • Retirement

  • PTO

... program management teams* PhD in Computer Science, Knowledge Engineering, Mathematics, or a related field, or a publication record in semantic web and knowledge representation**U.S. Citizenship ...

Data Architect

Minneapolis, MN · On-site

$66.50 - $85.50/hr

... semantic models, and reporting layers • Establish scalable data modeling standards, including ... metadata management, and appropriate data access • Partner with business and technical ...

Director, Data & Information Architecture

Minnetonka, MN · On-site

$165K - $206K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Define semantic standards for observations, results, recommendations, outcomes, and evidence ... Experience with canonical modeling, Data Vault, metadata management, MDM, and lineage. * Hands-on ...

Data Architect

Minneapolis, MN

$66.50 - $85.50/hr

Establish scalable data modeling standards, including dimensional (star schema) and semantic ... Establish architectural guardrails that support governance, metadata management, and appropriate ...

Data Architect

Minneapolis, MN · On-site

$66.50 - $85.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Establish scalable data modeling standards, including dimensional (star schema) and semantic ... Establish architectural guardrails that support governance, metadata management, and appropriate ...

Prin AI & Analytics Data Architect

Shakopee, MN · On-site +1

$68.25 - $87.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Ingest (ERP, CRM, SaaS, logs) * Transform (ELT/semantic modeling) * Serve (BI, APIs, AI, Copilots) * Enable safe, governed access to data for: * Analysts * Data scientists * AI agents and copilots

... into a governed semantic model that represents key clinical, operational, financial, and ... management required. * Experience designing scalable, secure, reliable, and governed data platforms ...

... into a governed semantic model that represents key clinical, operational, financial, and ... management required. * Experience designing scalable, secure, reliable, and governed data platforms ...

MS Fabric

Minneapolis, MN · On-site

$140K - $188K/yr

... and manage Power BI reports and semantic models • Write and optimize complex SQL queries to extract and analyze data, ensuring data processing and accurate reporting. • Work closely with ...

MS Fabric

Minneapolis, MN · On-site

$100K - $115K/yr

... and manage Power BI reports and semantic models • Write and optimize complex SQL queries to extract and analyze data, ensuring data processing and accurate reporting. • Work closely with ...

Showing results 21-40

Manager Semantic information

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 popular job titles related to Manager Semantic jobs in Minnesota?

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

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

The top searched job categories for Manager Semantic jobs in Minnesota are:

What cities in Minnesota are hiring for Manager Semantic jobs?

Cities in Minnesota with the most Manager Semantic job openings:

$100 - $130/hr

Other

Medical, Retirement, PTO

Posted 8 days ago


Job description

## Senior AI EngineerApplylocations: Dahlgren, VAtime type: Full timeposted on: Posted Yesterdayjob requisition id: JR2591TSC is seeking a **Senior Ontology Engineer** in **King George/Dahlgren, Virginia**. This position supports the **Systems Engineering & Analysis Division (SEA)**.**\*Ability to obtain and maintain a SECRET DoD Clearance**.TSC offers a professional working environment, a competitive salary, and an excellent benefits package. Come and join our team!We are seeking a Senior Ontology Engineer to design, develop, and maintain ontological frameworks and knowledge graph solutions in support of defense mission engineering programs. The ideal candidate combines deep expertise in formal ontology and semantic web technologies with hands-on experience in data integration, graph database systems, large language models, and knowledge-driven data architecture development. This individual will translate complex, multi-domain mission requirements into scalable knowledge representations and work alongside software engineers, systems engineers, and domain experts to deliver end-to-end solutions. The ideal candidate has experience in technical writing and will work alongside the business development team to propose innovative solutions to address requests for proposals.**Responsibilities:**This position is designed to be flexible, with responsibilities evolving to meet program needs, emerging technology trends, and opportunities for individual professional growth.This position requires a technically deep and mission-focused individual with expertise in knowledge engineering, ontology development, and artificial intelligence technologies applied to defense and mission engineering domains.• Design, develop, and maintain formal ontologies using OWL, RDF/RDFS, and SPARQL aligned with DoD mission engineering requirements and semantic interoperability standards. • Build and deploy knowledge graph solutions that integrate structured and unstructured data sources across heterogeneous, multi-domain defense systems. • Apply and extend upper-level ontology frameworks, ensuring alignment with DoD and IC data standards. • Design and implement graph-based AI and semantic solutions, including LLM-integrated pipelines, RAG architectures, and agentic workflows that leverage knowledge graph representations. • Collaborate with engineers, systems architects, and mission-domain SMEs to translate operational requirements into actionable ontological models and knowledge architectures. • Support semantic integration and data interoperability efforts across legacy and modern system architectures, including graph database deployments (e.g., Stardog, Neptune, Neo4j). • Lead the development and writing of technical approaches for proposals related to supporting the Navy adopt AI technologies**Required Qualifications:*** Bachelor's degree or higher in Computer Science, Information Science, Knowledge Engineering, or a related discipline; equivalent experience considered* PhD with 2+ years of relevant experience, MA/MS with 5+ years of relevant experience, or BA/BS with 7+ years + Hands-on experience with knowledge graph technologies including RDF, SPARQL, SHACL, and OWL for DoD or enterprise use cases + Experience with schema design, ontology management, and knowledge graph curation + Experience designing and developing end-to-end knowledge graph and AI data pipelines, including integration with LLMs or similar models + Familiarity with graph database platforms such as Stardog, Blazegraph, Neo4j, or Amazon Neptune* Ability to obtain and maintain a SECRET DoD Clearance**Preferred Qualifications:*** Experience with U.S. Navy Combat Systems* 2+ years of hands-on Python experience, including frameworks such as TensorFlow, PyTorch, rdflib, or owlready2, and ETL pipeline tools (e.g., Apache NiFi, Airflow)* Experience with full-stack web development, including REST API design and development (e.g., FastAPI, Flask, or Node.js), front-end frameworks (e.g., React or Angular), and containerization/deployment tooling (e.g., Docker, Kubernetes)* Practical experience with NLP, semantic search, prompt engineering, and LLMs for enterprise-scale knowledge graph applications including RAG architectures.* Experience with agentic AI systems and multi-modal model integration applied to knowledge engineering problems* Demonstrated team leadership experience, with the ability to guide junior engineers and collaborate across engineering, research, and program management teams* PhD in Computer Science, Knowledge Engineering, Mathematics, or a related field, or a publication record in semantic web and knowledge representation**U.S. Citizenship Required for this Position:**Yes**Job Type:**Regular**Security Clearance**: **Secret (ability to obtain required)****Schedule: Full time (40 hr/week)****Travel: 0-10%****TSC Benefits:**TSC offers a stable work environment, a competitive salary, and a comprehensive benefit package; including ESOP participation, 401k Plan, Flexible Work Schedules, Tuition Reimbursement, Co-Sponsored Health Plan, Paid Leave and much more.**Applying to TSC:**Only those candidates invited for an interview will be contacted. Employment at TSC is contingent upon the successful completion of a comprehensive background check, security investigation, and a drug screening.This contractor and subcontractor shall abide by the requirements of 41 CFR 60–1.4(a), 60–300.5(a) and 60–741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity, national origin, or for inquiring about, discussing, or disclosing information about compensation. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #J-18808-Ljbffr