Head of Data Taxonomy and Ontology

Career Guide

The Head of Data Taxonomy and Ontology leads how an organization names, organizes, and connects its data so people and systems can find it, trust it, and reuse it. This role sets the standards for shared language across teams, improves search and discovery, and makes analytics and AI outputs more consistent.

Browse All Roles

Key Responsibilities

Define a company-wide taxonomy strategy for data, content, and business terms
Create and maintain a business glossary with clear definitions and ownership
Design and maintain an ontology that captures relationships between key concepts
Set governance for naming standards, metadata quality, and change management
Partner with Data Governance and Data Engineering to implement standards in platforms
Work with Product and Analytics teams to align metrics and definitions
Improve data discovery through better tagging, classification, and search signals
Establish review workflows to prevent duplicate terms and conflicting definitions
Measure adoption and data findability using clear success metrics
Lead a team of taxonomy and ontology specialists, including hiring and coaching

Top Skills for Success

Data Governance

Metadata Management

Taxonomy Design

Ontology Modeling

Information Architecture

Stakeholder Management

Change Management

Data Quality Management

Semantic Search Concepts

Technical Writing

Program Management

Cross-functional Leadership

Career Progression

Can Lead To

Director of Data Governance

Director of Data Management

Director of Data Strategy

Head of Knowledge Management

Head of Search and Discovery

Head of Analytics Enablement

Transition Opportunities

Chief Data Officer

VP of Data and Analytics

VP of Data Governance

Head of AI Data Strategy

Enterprise Data Architect

Common Skill Gaps

Often Missing Skills

Ontology Engineering ToolsGraph Data ModelingEnterprise Data Catalog AdministrationData Stewardship Operating ModelsKPI DesignExecutive Communication

Development SuggestionsBuild hands-on experience by leading a glossary and taxonomy rollout in a data catalog, define governance workflows with stewards, and publish a clear measurement plan for adoption and findability. Strengthen executive communication with concise updates that tie taxonomy outcomes to time saved, reduced errors, and faster product delivery.

Market Intelligence Report

Head of Data Taxonomy and Ontology is part of the Data Governance 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 LevelUSD 170,000 to 220,000

Mid LevelUSD 220,000 to 300,000

Senior LevelUSD 300,000 to 450,000

Growth Trend

Growing demand, especially in large enterprises modernizing data platforms and organizations scaling AI, search, and self-serve analytics. Hiring is most common in regulated industries and data-rich consumer businesses.

Companies Hiring

Major Employers

GoogleMicrosoftAmazonAppleMetaSalesforceAdobeIBMOracleServiceNowSnowflakeDatabricksJPMorgan ChaseGoldman SachsUnitedHealth GroupCVS HealthPfizerRocheWalmartTarget

Industry Sectors

TechnologyFinancial ServicesHealthcarePharmaceuticalsRetail and EcommerceMedia and PublishingTelecommunicationsInsuranceGovernment and Public Sector

Recommended Next Steps

Audit current business terms and identify duplicates, conflicts, and missing definitions

Create a prioritized taxonomy roadmap tied to the highest-value use cases

Stand up a governance cadence with term owners and review workflows

Implement naming standards and metadata requirements in the chosen catalog

Pilot an ontology for one domain and expand after validation

Define success metrics such as adoption, search success rate, and definition coverage

Develop a training plan for analysts, engineers, and product teams

Prepare an executive narrative that connects the work to business outcomes