Head of Ontology & Knowledge Platform

Bain & Company; Greater London; Híbrido; GBP 170.000 - 208.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Paid time off

Descripción de la vacante

Bain & Company is seeking a senior Ontology and Knowledge Engineer to lead the Growth AI Performance System's knowledge layer. You will own the ontology, design scalable knowledge graphs, and ensure high-quality data for AI-driven decisioning across marketing ROI, pricing, and brand analytics.

You will collaborate with engineering, data science, and client stakeholders to drive architecture decisions, implement robust entity resolution, and advance ontology standards in production.

Formación

• Hands-on engineering across data and AI engineering in production.
• Experience building knowledge graphs and ontology design.
• Experience with entity resolution at scale.
• Knowledge of NLP/ML for taxonomy enrichment from unstructured data.

Responsabilidades

• Own knowledge graph and ontology design for Growth AI Performance System.
• Design and implement production-grade entity resolution systems.
• Lead data pipelines and governance for ontology updates.
• Collaborate with cross-functional teams and present to clients.
• Mentor and lead the Ontology and Knowledge team.

Conocimientos

Data engineering

AI engineering

Knowledge graphs

Entity resolution

Production pipelines

NLP/ML

Python/PySpark

Educación

Bachelor's degree in Computer Science or related field

Advanced degree in Knowledge Representation/AI/ML or Semantic Web

Herramientas

Neo4j

Amazon Neptune

RDF/OWL

SPARQL

Databricks

Airflow

Descripción del empleo

Bain & Company is seeking a senior Ontology and Knowledge Engineer to lead the Growth AI Performance System's knowledge layer. You will own the ontology, design scalable knowledge graphs, and ensure high-quality data for AI-driven decisioning across marketing ROI, pricing, and brand analytics.

You will collaborate with engineering, data science, and client stakeholders to drive architecture decisions, implement robust entity resolution, and advance ontology standards in production.