Director of Knowledge Graph Platform

Career Guide
A Director of Knowledge Graph Platform leads the strategy, build, and ongoing operation of a company’s knowledge graph capabilities. This role aligns business needs with a scalable platform that connects data into an organized, searchable network to power search, recommendations, analytics, and AI products.

Key Responsibilities

  • Set platform vision, roadmap, and success metrics for the knowledge graph program
  • Lead cross functional teams across engineering, data, and product to deliver platform outcomes
  • Define the data model and governance approach for entities, relationships, and identifiers
  • Oversee data ingestion pipelines, data quality checks, and automated updates
  • Establish standards for ontology management, documentation, and change control
  • Drive platform reliability, performance, and cost management
  • Partner with security and privacy teams to ensure compliant data handling
  • Enable internal teams through APIs, tools, training, and support processes
  • Manage vendor selection, build versus buy decisions, and platform contracts
  • Hire, develop, and retain platform talent and set team operating rhythms

Top Skills for Success

Leadership
Stakeholder Management
Strategic Planning
Program Management
Hiring
Coaching
Data Modeling
Ontology Design
Graph Databases
API Design
Data Governance
Data Quality Management
Data Integration
Search Relevance
AI Enablement

Career Progression

Can Lead To
Vice President of Data Platform
Vice President of Data Engineering
Head of Knowledge Management
Head of Data Products
Chief Data Officer
Transition Opportunities
Director of Data Engineering
Director of Platform Engineering
Director of Data Governance
Director of AI Platform
Director of Search Platform

Common Skill Gaps

Often Missing Skills
Ontology DesignGraph Query LanguagesData GovernanceEntity ResolutionPlatform ReliabilityCost ManagementChange ManagementProduct Strategy
Development SuggestionsBuild a small end to end knowledge graph pilot that includes data ingestion, entity design, quality rules, an API, and at least one business use case. Pair this with a governance plan, a basic operating model, and measurable outcomes such as improved search success rate or reduced time to find information.

Salary & Demand

Median Salary Range
Entry LevelNot typical for this director level role
Mid LevelUSD 190,000 to 260,000 base salary
Senior LevelUSD 260,000 to 340,000 base salary
Growth Trend
Strong growth, driven by enterprise AI adoption, data modernization, and demand for better search and personalization. Hiring is most active in larger companies and data heavy industries.

Companies Hiring

Major Employers
GoogleMicrosoftAmazonMetaAppleNetflixSalesforceServiceNowAdobeIBMOracleBloomberg
Industry Sectors
TechnologyFinancial ServicesHealthcareRetailEcommerceMediaTelecommunicationsManufacturingLogisticsPublic Sector

Recommended Next Steps

1
Create a one page platform strategy with target users, top use cases, and success metrics
2
Inventory current data sources and prioritize the first three that unlock the most value
3
Draft an initial entity model and relationship map for a single domain
4
Define a governance workflow for changes, approvals, and documentation
5
Set reliability targets and an on call and support model for the platform
6
Build a stakeholder roadmap review cadence and a quarterly planning process
7
Develop a hiring plan for key roles such as graph engineering, data engineering, and platform product management
8
Prepare an executive narrative that links the platform to business outcomes such as revenue, risk reduction, or productivity