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Manager Knowledge Graph Jobs (NOW HIRING)

Squirro

Knowledge Graph Engineer

New York, NY

Manage client engagements from pre-sales through onboarding, deployment, and training, ensuring successful adoption of knowledge graph-based solutions. * Semantic Modeling & Knowledge Graph Design:

Squirro

Knowledge Graph Engineer

New York, NY · Remote

Manage client engagements from pre-sales through onboarding, deployment, and training, ensuring successful adoption of knowledge graphbased solutions. * Semantic Modeling & Knowledge Graph Design:

Squirro

Knowledge Graph Engineer

New York, NY · On-site

Manage client engagements from pre-sales through onboarding, deployment, and training, ensuring successful adoption of knowledge graph-based solutions. * Semantic Modeling & Knowledge Graph Design:

Tekwissen

Knowledge Graph Engineer

Frisco, TX · Hybrid

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that ... Knowledge Graph Engineer Location: Atlanta GA / Frisco TX Duration: 6 Months Job Type: Temporary ...

CYNET SYSTEMS

Knowledge Graph Architect/ Lead

San Jose, CA · On-site

$55 - $60/hr

... managing graph ingestion, semantic enrichment, lineage, and relationship modeling processes. * 1+ years of experience in integrating Knowledge Graph with Data Catalogs, data pipelines, APIs, and AI ...

Point72

Data Engineer, Knowledge Graph

New York, NY · On-site

$125K - $150K/yr

Our industry researchers, product managers, and data scientists and engineers work together to ... Define and implement best practices for knowledge graph development, implementation, and ...

Point72

Data Engineer, Knowledge Graph

New York, NY

$125K - $150K/yr

Our industry researchers, product managers, and data scientists and engineers work together to ... Define and implement best practices for knowledge graph development, implementation, and ...

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Manager Knowledge Graph information

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How much do manager knowledge graph jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for manager knowledge graph in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $32.69 per hour, depending on experience, location, and employer.

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 jobs make $1,000,000 a year?

In the context of a Manager Knowledge Graph or related high-level roles, earning $1,000,000 annually typically involves executive positions such as Chief Data Officer, Chief Technology Officer, or senior AI/ML executives, often in large technology or data-driven companies. These roles require extensive experience, advanced skills in data management, and leadership responsibilities, with compensation often including base salary, bonuses, and stock options. Such high earnings are rare and usually associated with top-tier organizations or successful startups.

What can I do with a knowledge graph?

A Manager Knowledge Graph can utilize structured data to improve data integration, support decision-making, and enhance search and recommendation systems. It involves skills in data modeling, ontology development, and graph database tools like Neo4j or GraphDB. This role enables organizations to organize complex information for better insights and automation.

Is the knowledge graph still relevant?

The role of a Manager Knowledge Graph remains relevant as organizations increasingly rely on structured data and semantic technologies to improve data integration, search, and decision-making. Knowledge graph management skills, including understanding graph databases and data modeling, are valuable in current data-driven environments. Staying updated with tools like Neo4j or RDF is beneficial for this role.

What job makes $10,000 a month without a degree?

Roles such as sales managers, real estate brokers, or skilled trades like electricians and plumbers can earn $10,000 or more monthly without a college degree, often through commissions, business ownership, or experience. Success in these jobs typically depends on skills, networking, and performance rather than formal education.
What cities are hiring for Manager Knowledge Graph jobs? Cities with the most Manager Knowledge Graph job openings:
What are the most commonly searched types of Knowledge Graph jobs? The most popular types of Knowledge Graph jobs are:
What states have the most Manager Knowledge Graph jobs? States with the most job openings for Manager Knowledge Graph jobs include:
Manager Knowledge Graph jobs near you

Knowledge Graph Engineer

Inizio Partners

Manhattan, NY • On-site

Other

Posted 22 days ago

Job description

Knowledge Graph Engineer

New York, New York, United States Or refer someone Job Openings Knowledge Graph Engineer

About the Job Knowledge Graph Engineer

Our client provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting-edge analytics techniques, and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, our client's analytics team takes an industry-specific approach to transform decision-making and embed analytics more deeply into their business processes. They have a global footprint of 2,000+ data scientists and analysts who assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. They serve the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.

Role

We are seeking a Knowledge Graph Engineer with expertise in designing, implementing, and optimizing graph databases, with a strong focus on utilizing Neo4j or other graph databases for knowledge graph applications. The role involves contributing to the development and maintenance of our data infrastructure, ensuring efficient handling of complex relationships.

Responsibilities

  • Design and implement graph databases to efficiently store and retrieve high-dimensional data.
  • Utilize Neo4j for creating and managing knowledge graphs, ensuring optimal performance and scalability.
  • Develop and maintain knowledge graphs using Neo4j, incorporating domain-specific data and relationships.
  • Implement graph algorithms to extract meaningful insights from the knowledge graph.
  • Optimize database queries, finetune graphs, indexing strategies for graph operations.
  • Identify and resolve performance bottlenecks to ensure efficient data retrieval.
  • Collaborate with application developers to integrate graph databases, knowledge graphs into various software solutions.
  • Provide support for query optimization and data modeling for application-specific requirements.
  • Implement and maintain data security measures for graph databases and knowledge graphs.
  • Ensure compliance with relevant data protection regulations and industry standards.
  • Work closely with cross-functional teams, including data scientists, software engineers, and product managers.
  • Communicate technical concepts and solutions effectively to both technical and non-technical stakeholders.

Technical Skills

  • Understanding of graph data model paradigms (LPG, RDF) and graph languages (Gremlin & SparQL are optional), hands-on experience is required
  • Solid understanding of graph data modeling, graph schema development, graph data design.
  • Familiarity with machine learning and GenAI concepts related to graph data.
  • Experience with cloud-based database solutions and knowledge of distributed database systems.
  • Proven experience in designing and implementing graph databases, knowledge graphs with a focus on Neo4j or others like Neptune/Cosmos/TigerGraph etc. for knowledge graph applications.
  • Strong proficiency in database optimization, performance tuning, and query languages.
  • Familiarity with graph algorithms and data modeling for knowledge graphs.
  • Experience with other relevant programming languages, such as Python, Java, or Scala.
  • Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent).
  • Excellent problem-solving skills and the ability to work in a collaborative team environment.

Candidate Profile

  • 8+ years of experience working with data engineering with at least 2-3 years of experience working on graph databases.
  • Bachelors/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
  • Outstanding written and verbal communication skills
  • Superior analytical and problem-solving skills
  • Experience in working in dual shore engagement is preferred
  • Must have experience in managing clients directly
  • Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
  • Able to work in fast fast-paced continuously evolving environment and ready to take up uphill challenges
  • Can understand cross-cultural differences and can work with clients across the globe

Location

Candidate can be based anywhere in US or Canada

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