Knowledge Graph Manager

Career Guide

A Knowledge Graph Manager leads the design and upkeep of a connected data model that links people, places, products, content, and other business entities. The goal is to make information easier to find, reuse, and trust across search, analytics, recommendations, and operational workflows.

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Key Responsibilities

Define the knowledge graph vision and roadmap aligned to business goals
Design entity models that describe key concepts and how they relate
Set standards for naming, definitions, and data quality
Partner with data engineering to build data pipelines into the graph
Partner with product teams to deliver graph-powered features
Manage metadata and reference data to keep concepts consistent
Create rules for identity matching and duplicate resolution
Establish governance for changes, approvals, and versioning
Monitor graph coverage, accuracy, and freshness using clear metrics
Lead cross-functional working groups and communicate progress to stakeholders
Document models, sources, and decision rationale for long-term maintainability
Coach team members and influence partners on best practices

Top Skills for Success

Stakeholder Management

Program Management

Written Communication

Data Modeling

Ontology Design

Entity Resolution

Data Governance

Metadata Management

Graph Databases

Query Design

Data Quality Management

Information Architecture

Domain Knowledge

Career Progression

Can Lead To

Senior Knowledge Graph Manager

Knowledge Graph Director

Data Product Manager

Data Governance Lead

Enterprise Data Architect

Transition Opportunities

Search Product Manager

Personalization Product Manager

Machine Learning Product Manager

Data Platform Manager

Analytics Engineering Manager

Common Skill Gaps

Often Missing Skills

Graph Data ModelingOntology DesignGraph Database OperationsData Governance PracticesEntity Resolution MethodsData Quality MeasurementChange Management

Development SuggestionsStart by modeling a small set of high-value entities and relationships, then expand based on real use cases. Build comfort with graph queries, set simple quality metrics, and practice governance routines such as definition reviews and change approvals.

Market Intelligence Report

Knowledge Graph Manager is part of the Data & Platform Engineering category.Explore our market intelligence report to see how AI and hiring demand are shifting for these roles.

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Salary & Demand

Median Salary Range

Entry LevelUSD 95,000 to 125,000

Mid LevelUSD 125,000 to 165,000

Senior LevelUSD 165,000 to 220,000

Growth Trend

Growing demand, especially in organizations investing in search, personalization, data platforms, and enterprise AI. Hiring is strongest where data is spread across many systems and needs consistent meaning.

Companies Hiring

Major Employers

GoogleMicrosoftAmazonAppleMetaSalesforceAdobeIBMOracleSAPServiceNowSnowflake

Industry Sectors

TechnologyEcommerceMedia and StreamingFinancial ServicesHealthcareLife SciencesTelecommunicationsManufacturingProfessional Services

Recommended Next Steps

Create a portfolio example showing an entity model and relationship model for a real business domain

Document a glossary of key entities with clear definitions and ownership

Learn a graph query language and demonstrate common queries in a small project

Build a basic pipeline that ingests data from two sources and reconciles duplicates

Define three measurable quality metrics such as coverage, accuracy, and freshness

Practice stakeholder interviews to translate business questions into graph requirements

Prepare a one page roadmap that prioritizes use cases and data sources over 90 days