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Manager Knowledge Graph Jobs in Illinois (NOW HIRING)

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 ...

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Senior AI Developer

Mettawa, IL · On-site

$62.50 - $82.50/hr

Knowledge Graph Development: Design, develop, and maintain large-scale knowledge graphs using Neo4j ... Partner with cross-functional teams (e.g., data engineers, product managers, business stakeholders ...

AI Developer

Mettawa, IL · On-site

$80/hr

Knowledge Graph Development: Design, develop, and maintain large-scale knowledge graphs using Neo4j ... Partner with cross-functional teams (e.g., data engineers, product managers, business stakeholders ...

Solution Architect - AI & Data

Chicago, IL · On-site

$65 - $85.50/hr

Establish data governance frameworks that position metadata management, data stewardship, and knowledge graph capabilities as foundational trust layers for enterprise AI programs. * Guide customers ...

Solution Architect - AI & Data

Chicago, IL · On-site +1

$65 - $85.50/hr

Establish data governance frameworks that position metadata management, data stewardship, and knowledge graph capabilities as foundational trust layers for enterprise AI programs. * Guide customers ...

Senior Data AI Engineer

Chicago, IL

$109K - $148K/yr

Design and implement vector databases, embedding pipelines, and knowledge graph structures that ... Solid experience managing diverse data sources including preprocessing, cleansing, and verifying ...

Senior Data AI Engineer

Chicago, IL · On-site

$118K - $141K/yr

Design and implement vector databases, embedding pipelines, and knowledge graph structures that ... Solid experience managing diverse data sources including preprocessing, cleansing, and verifying ...

AI and knowledge architecture: Guide the design of semantic layers, ontologies, and knowledge graph-style approaches that make enterprise data intelligently discoverable and reliably consumable by ...

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Manager Knowledge Graph information

What is the difference between Manager Knowledge Graph vs Data Analyst?

AspectManager Knowledge GraphData Analyst
Required CredentialsBachelor's degree in Computer Science, Data Science, or related field; knowledge of graph databasesBachelor's degree in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentCollaborative teams, often in tech or data-driven companiesOffice setting, analyzing data sets, creating reports
Industry UsageUsed in AI, semantic web, knowledge management projectsUsed across finance, marketing, healthcare for data insights

The Manager Knowledge Graph focuses on designing and managing knowledge graph systems, requiring expertise in graph databases and data modeling. Data Analysts primarily interpret data to generate insights, using statistical tools. While both roles work with data, the Manager Knowledge Graph is more technical and system-oriented, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Knowledge Graph jobs in Illinois? The most popular types of Knowledge Graph jobs in Illinois are:
What cities in Illinois are hiring for Manager Knowledge Graph jobs? Cities in Illinois with the most Manager Knowledge Graph job openings:
Knowledge Graph Architect

Knowledge Graph Architect

E-Solutions, Inc.

Mettawa, IL • On-site

Other

Posted 5 days ago


Job description

Required Skills & Qualifications

Technical Skills

  • Strong experience with Knowledge Graph technologies:
    • Neo4j (preferred) or Amazon Neptune
  • Proficiency in:
    • Cypher / SPARQL / Gremlin
    • Graph data modeling and schema design
  • Experience with:
    • Data integration and pipeline design
    • Graph RAG or semantic search (good to have)
  • Familiarity with cloud platforms (AWS/Azure/Google Cloud Platform)

Functional & Domain Expertise

  • Deep understanding of Pharma Market Access domain
  • Ability to map business processes to data structures and graph models

Soft Skills

  • Strong ability to translate business requirements into technical solutions
  • Excellent communication and stakeholder management skills
  • Experience working in client-facing roles and cross-functional teams
  • Problem-solving mindset with attention to detail

Preferred Qualifications

  • Prior experience in pharmaceutical analytics or consulting
  • Exposure to AI/ML and Generative AI use cases (Graph RAG, knowledge-driven AI)
  • Experience defining enterprise ontologies or semantic layers
  • Certifications in cloud or data architecture are a plus

Knowledge Graph Architect2PHARMA,Neo4J,knowledge graphN/AC2C,W2United States