Ontology Lead

TheMathCompany Inc.; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

PeopleStrong is seeking an Ontology Lead to define and implement enterprise knowledge models that support AI, analytics, and Generative AI solutions. You will lead ontology and taxonomy design, and oversee knowledge graph architectures across domains.

You will partner with stakeholders to model complex business concepts and drive semantic standards, governance, and integration with data platforms. Strong communication and leadership are essential.

Qualifications

• Bachelor's or Master's in CS/IS/DS or related field.
• 9–12 years in knowledge/data architecture or enterprise data management.
• Hands-on with ontologies, taxonomies, and knowledge graphs in production.
• Experience delivering semantic modeling for AI/GenAI use cases.
• Strong data modeling, metadata management, and stakeholder engagement.

Responsibilities

• Design and own enterprise ontologies, taxonomies, and knowledge graph architectures.
• Collaborate with stakeholders to model complex concepts, processes, and relationships.
• Set standards and governance for ontology development.
• Architect and oversee enterprise knowledge graph implementations on graph platforms.
• Integrate ontologies with data platforms and operational systems.
• Enable GenAI use cases via semantic search, GraphRAG, and LLM grounding.
• Guide ingestion, transformation, and synchronization pipelines for knowledge graphs.
• Drive semantic consistency across domains and establish a common vocabulary.
• Present architecture trade-offs and business value to clients and executives.

Skills

Ontology design

Knowledge modeling

Graph databases

Data governance

Stakeholder management

Semantic architectures

GenAI alignment

Python

SQL

Education

Bachelor's or Master's in CS/IS/DS

Tools

Neo4j

Stardog

GraphDB

Amazon Neptune

TigerGraph

Databricks

Snowflake

Spark

Delta Lake

Airflow

PostgreSQL

SQL Server

NoSQL

Azure

AWS

GCP

Python

SQL

Job description

Ontology Engineering Knowledge Engineering Python Neo4j

Job Description

We are looking for an Ontology Lead to define and implement enterprise knowledge models that serve as the semantic foundation for AI, Analytics, and Generative AI solutions. The ideal candidate will lead the design of ontologies, taxonomies, and knowledge graphs, enabling organizations to create trusted, connected, and machine-understandable representations of business data across domains.

Key Responsibilities

• Design and own enterprise ontologies, taxonomies, semantic models, and knowledge graph architectures.
• Partner with business stakeholders and domain experts to model complex business concepts, processes, and relationships.
• Define standards, governance frameworks, and best practices for ontology and semantic model development.
• Architect and oversee the implementation of knowledge graphs on enterprise graph platforms.
• Design integrations between ontologies, knowledge graphs, enterprise data platforms, and operational systems.
• Enable AI and Generative AI use cases through semantic search, GraphRAG, metadata frameworks, and LLM grounding.
• Collaborate with data engineering teams to establish ingestion, transformation, and synchronization pipelines for knowledge graphs.
• Drive semantic consistency across business domains and establish a common enterprise vocabulary.
• Review and guide implementation teams on ontology modeling, graph design, and semantic architecture best practices.
• Present architecture recommendations, trade-offs, and business value propositions to client and executive stakeholders.

Required Qualifications & Experience

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Knowledge Engineering, or a related field.
• 9-12 years of experience in Knowledge Architecture, Data Architecture, Data Engineering, or Enterprise Data Management.
• Hands‑on experience designing and implementing enterprise ontologies, taxonomies, or knowledge graphs.
• Experience delivering end‑to‑end semantic modeling or knowledge graph implementations in production environments.
• Strong understanding of data modeling methodologies, enterprise data architecture, and metadata management.
• Experience working directly with global enterprise stakeholders in consulting or client‑facing environments.
• Excellent communication, stakeholder management, and problem‑solving skills.

Technical Skills & Technologies

• Graph Platforms: Neo4j, Stardog, GraphDB, Amazon Neptune, TigerGraph.
• Semantic Technologies: RDF, OWL, SPARQL, SKOS, Knowledge Representation.
• Knowledge Graphs: Property Graphs, Triple Stores, Graph Modeling.
• GenAI & AI: GraphRAG, RAG, Semantic Search, LLM Grounding, Agentic AI Concepts.
• Data Platforms: Databricks, Snowflake, Spark, Delta Lake.
• Data Integration: Airflow, ETL/ELT Frameworks, APIs.
• Databases: PostgreSQL, SQL Server, NoSQL Databases.
• Cloud Platforms: Azure, AWS, GCP.
• Programming: Python, SQL.
• Metadata & Governance: Enterprise Metadata Management, Business Glossaries, Data Catalogs.

Behavioral Competencies

• Strong systems thinking and conceptual modeling abilities.
• Excellent stakeholder management and consulting skills.
• Ability to translate business concepts into scalable semantic frameworks.
• Strong architectural decision‑making and problem‑solving capabilities.
• High ownership, accountability, and attention to detail.
• Ability to mentor teams and drive adoption of semantic best practices.

Nice-to-Have

• Experience with GraphRAG, semantic search, and enterprise GenAI applications.
• Exposure to graph algorithms, Graph ML, or Graph Neural Networks (GNNs).
• Experience with Data Vault 2.0, Kimball, canonical data models, or enterprise information architecture.
• Knowledge of data quality, ontology validation, and graph governance frameworks.
• Experience in Pharma, Manufacturing, Retail, CPG, or Healthcare industries.

Being a Mathemagician

• Embodies MathCo's culture and way of working.
• Demonstrate ownership and strive for excellence in delivering results.
• Actively engage and contribute to initiatives fostering company growth.
• Support diversity and