EY - Knowledge Graph Delivery Lead - Machine Learning

Note : If shortlisted, you will be invited for initial rounds on 7th February 2026 (Saturday) in Gurugram

Description :

- Own end-to-end delivery of Knowledge Graph initiatives, from problem definition to production rollout

- Lead ontology, schema, and semantic layer design to support ML, analytics, and AI use cases

- Translate business and ML requirements into scalable KG-backed data products

- Drive integration of Knowledge Graphs with ML pipelines, feature stores, and downstream applications

- Collaborate with data engineering, ML, platform, and product teams for seamless delivery

- Define APIs and data access patterns for KG consumption across products

- Ensure data quality, governance, and lifecycle management within KG ecosystems

- Act as primary stakeholder interface, managing expectations, risks, and delivery timelines

Must Have :

- Strong experience in data management (data lifecycle, quality, metadata, governance)

- Deep understanding of semantics including controlled vocabularies, taxonomies, and ontologies

- Proven ownership of end-to-end Knowledge Graph delivery in production environments

- Hands-on expertise in ontology and schema modeling for ML and AI-driven systems

- Experience integrating Knowledge Graphs into products via APIs and services

- Ability to coordinate across data, ML, product, and platform teams

- Strong stakeholder communication, dependency management, and risk mitigation skills

Good to Have :

- Experience with Cognite Data Fusion and Cognite Data Model

- Hands-on exposure to semantic technologies (RDF, OWL, SPARQL, graph databases)

- Familiarity with cloud-based data platforms and CI/CD pipelines for data & ML systems