Head of Knowledge Graphs

Career Guide

A Head of Knowledge Graphs leads the strategy, people, and delivery of knowledge graph systems that connect data into a shared, trusted representation of concepts and relationships. This role typically sits at the intersection of data engineering, applied machine learning, search, and product, turning messy information into structured knowledge that powers discovery, recommendations, analytics, and automation.

Browse All Roles

Key Responsibilities

Set the vision and roadmap for knowledge graph capabilities aligned to business goals
Define standards for entity definitions, relationship rules, and data quality
Lead teams across data engineering, applied machine learning, and platform engineering
Oversee data ingestion pipelines and integration from internal and external sources
Design governance processes for ownership, stewardship, and change management
Partner with product leaders to turn use cases into deliverable features
Establish metrics for accuracy, freshness, coverage, and business impact
Select and manage graph databases and supporting tooling
Ensure privacy, security, and responsible data use across the graph
Communicate progress and tradeoffs to executives and cross functional stakeholders

Top Skills for Success

Knowledge Graph Strategy

Graph Data Modeling

Ontology Design

Entity Resolution

Data Governance

Data Quality Management

Data Integration

Graph Databases

Applied Machine Learning

Information Retrieval

Search Relevance

Product Management

Executive Communication

Stakeholder Management

People Leadership

Career Progression

Can Lead To

Director of Data Engineering

Director of Machine Learning

Head of Data Platform

Head of Search

Head of Data Governance

Transition Opportunities

Vice President of Data

Vice President of Engineering

Chief Data Officer

Head of AI Platform

General Manager of Data Products

Common Skill Gaps

Often Missing Skills

Ontology DesignEntity ResolutionData GovernanceGraph DatabasesSearch RelevanceInformation RetrievalMetric DesignChange Management

Development SuggestionsBuild a portfolio of two to three production style graph use cases, such as catalog normalization, customer identity graph, or enterprise knowledge search. Practice defining clear entity standards, quality metrics, and ownership. Strengthen collaboration skills by running cross functional workshops to align definitions and resolve conflicts early.

Market Intelligence Report

Head of Knowledge Graphs is part of the Technical Product Management category.Explore our market intelligence report to see how AI and hiring demand are shifting for these roles.

See the market intelligence report

Salary & Demand

Median Salary Range

Entry LevelRare as an entry role, typical total pay in the United States is 180,000 to 250,000 USD

Mid LevelTypical total pay in the United States is 230,000 to 350,000 USD

Senior LevelTypical total pay in the United States is 320,000 to 550,000 USD, higher in top tier technology firms

Growth Trend

Strong and rising, driven by search relevance, recommendations, data integration, and adoption of retrieval based AI systems

Companies Hiring

Major Employers

GoogleMicrosoftAmazonAppleMetaOpenAIAnthropicNetflixUberAirbnbSalesforceServiceNowLinkedInBloombergWalmart

Industry Sectors

TechnologyEnterprise SoftwareEcommerceMedia and StreamingFinancial ServicesHealthcareRetailTravelLogisticsPublic Sector

Recommended Next Steps

Create a one page knowledge graph strategy linked to three business outcomes

Inventory existing data sources and define the top ten entities and relationships

Design a quality scorecard covering accuracy, completeness, and freshness

Choose a pilot use case with a clear baseline and measurable lift

Establish a governance model with named owners and review cadence

Build an executive ready roadmap with milestones and resourcing needs

Prepare interview stories that show impact, tradeoffs, and team leadership