Job Description

Lead Associate - Data Ontology / AI

Department: IT

Employment Type: Permanent - Full Time

Location: Pune

Key Responsibilities

• Design and maintain enterprise ontologies, taxonomies, business vocabularies, and semantic data models.
• Develop and manage knowledge graphs that connect business entities, relationships, processes, and data assets.
• Collaborate with business and technical teams to define common business concepts and data standards.
• Implement semantic modeling solutions within Microsoft Fabric and related Microsoft data and AI platforms.
• Support generative AI, retrieval augmented generation (RAG), and advanced analytics initiatives through knowledge representation techniques.
• Establish governance processes for ontology lifecycle management, versioning, stewardship, and quality assurance.
• Work with Data Engineering teams to integrate ontologies and graph structures into data pipelines and analytical solutions.
• Document semantic models and provide training to technical and business stakeholders.
• Monitor emerging industry standards and best practices related to knowledge representation, linked data, and semantic technologies

Skills, Knowledge and Expertise

• Bachelor's degree in Information Science, Computer Science, Data Science, Knowledge Management, Library Science, or related field.
• 3+ years of experience in ontology development, semantic technologies, metadata management, or knowledge graph solutions.
• Experience designing and implementing knowledge graphs and semantic data models.
• Strong understanding of ontology concepts, taxonomy design, and enterprise information architecture.
• Hands-on experience with Microsoft Fabric and modern cloud-based data platforms.
• Experience with graph databases, linked data concepts, RDF, OWL, SPARQL, or similar semantic technologies.
• Strong SQL and data modeling skills with a solid understanding of data engineering principles.
• Knowledge of AI, machine learning, and RAG architectures is highly desirable.
• Excellent communication, documentation, facilitation, and stakeholder management skills.
• Ability to translate complex business concepts into scalable semantic models and knowledge structures.