Senior Semantic Data & Knowledge Engineer

IN10 (FCRS = IN010) Novartis Healthcare Private Limited; Hyderabad; Hybrid; INR 900,000 - 1,300,000; Full time

Job summary

Novartis seeks a Senior Semantic Data & Knowledge Engineer in Hyderabad to design, implement, and maintain enterprise knowledge structures, ontologies, and semantic assets supporting analytics, AI and GenAI use cases. You will build knowledge graphs, glossaries, and metadata frameworks guiding discovery, governance, and AI-driven decision support.

You will collaborate with business SMEs across P&O, Legal, Security, ESG, Corporate Affairs, Finance, and other domains to harmonize terminology,

Qualifications

• Bachelor's or Master's degree in Information Management, Computer Science, Data Science, Analytics, AI, or related field.
• 5+ years of experience in Knowledge Management, Metadata Management, Data Governance, Analytics, Semantic Technologies, or AI-related domains.
• Experience supporting enterprise data, analytics, or AI programs.
• Experience working with metadata, taxonomy, ontology, or knowledge management initiatives.
• Technical expertise in: AWS Data Platforms, Knowledge Graphs, Ontology Development, Taxonomy Design, RAG / GraphRAG, Vector Databases

Responsibilities

• Knowledge Modelling & Semantic Design: Develop ontologies, taxonomies, semantic models and glossaries; define relationships between concepts, policies and data assets.
• Metadata Management & Governance: Support onboarding, stewardship, governance, and quality initiatives; maintain repositories and catalogs; collaborate with governance teams.
• Semantic Layer Implementation: Configure and maintain semantic models and business mappings; onboard domains and enterprise data products; ensure source-to-semantics consistency.
• Knowledge Management & Enterprise Search: Enable semantic search and discovery; improve visibility of structured and unstructured assets for business users and AI apps.
• AI, RAG & Knowledge Graph Enablement: Support RAG and GraphRAG architectures; create knowledge assets for AI assistants; assist in testing and optimization.

Skills

Budget management

Business acumen

Digital literacy

Operational excellence

Performance management

Planning

Project management

Risk management

Service delivery management

Stakeholder management

Technology use

Education

Bachelor's or Master's degree in Information Management, Computer Science, Data Science, Analytics, AI, or related field

Tools

Microsoft Fabric

Amazon Neptune

Collibra

Metadata Management

Semantic Layer Technologies

Enterprise Search

AI Knowledge Repositories

API and Integration Technologies

Job description

Job Description Summary

Location: Hyderabad, India #LI-Hybrid Internal job title: Senior Specialist, DDIT PO&CF Knowledge Management

About the Role

The Senior Semantic Data & Knowledge Engineer will be responsible for designing, implementing, and maintaining enterprise knowledge structures, ontologies, semantic assets, metadata frameworks, knowledge graphs, and business glossaries that support Analytics, AI, GenAI, Semantic Search, and Agentic AI use cases across P&O and Corporate Functions. The role will focus on translating enterprise business knowledge into reusable semantic assets that enable discoverability, governance, contextual intelligence, and AI-driven decision support.

Job Description Key Responsibilities

Knowledge Modelling & Semantic Design: Develop and maintain ontologies, taxonomies, semantic models, and business glossaries; Define relationships between business concepts, policies, controls, processes, and data assets; Build and maintain enterprise knowledge graphs and semantic repositories; Translate business knowledge into AI-ready semantic structures; Support standardization of enterprise business terminology.

Metadata Management & Governance: Support metadata onboarding, stewardship, governance, and quality initiatives; Maintain metadata repositories and catalog assets; Support business glossary development and governance processes; Collaborate with data stewards, domain owners, and governance teams; Ensure metadata standards and quality requirements are met.

Semantic Layer Implementation: Support implementation and maintenance of Semantic Layer capabilities; Configure and maintain semantic models and business mappings; support onboarding of business domains and enterprise data products; Ensure consistency between source systems and semantic representations.

Knowledge Management & Enterprise Search: Support semantic search and enterprise knowledge discovery initiatives; Improve discoverability of structured and unstructured knowledge assets; Enable enterprise search experiences powered by semantic technologies; Support knowledge repositories used by business users and AI applications.

AI, RAG & Knowledge Graph Enablement: Support implementation of RAG and GraphRAG architectures; Create and maintain knowledge assets used by AI assistants, copilots, and agents; Support AI grounding through enterprise knowledge repositories; Assist in testing, validation, and optimization of AI-enabled knowledge solutions.

Business Domain Collaboration: Work closely with business SMEs and domain owners, and model business knowledge across: P&O, Legal, Security, ERC, ESG, Corporate Affairs, Internal Audit, Corporate Communications, Finance (selected domains); Support harmonization of definitions, terminology, controls, policies, and business concepts.

Essential Requirements

• Bachelor's or Master's degree in Information Management, Computer Science, Data Science, Analytics, AI, or related field.
• 5+ years of experience in Knowledge Management, Metadata Management, Data Governance, Analytics, Semantic Technologies, or AI-related domains.
• Experience supporting enterprise data, analytics, or AI programs.
• Experience working with metadata, taxonomy, ontology, or knowledge management initiatives.
• Technical expertise in: AWS Data Platforms, Knowledge Graphs, Ontology Development, Taxonomy Design, RAG / GraphRAG, Vector Databases

Desirable requirements

• Technical expertise in: Microsoft Fabric, Amazon Neptune, Collibra, Metadata Management, Semantic Layer Technologies, Enterprise Search, AI Knowledge Repositories, API and Integration Technologies
• Experience and knowledge in People & Organization domain: Core HR, Workforce Planning, People Analytics, Talent & Skills Intelligence, Learning & Development, Organizational Effectiveness, Employee Experience
• Experience and knowledge in Corporate Functions domain: Legal, Security & Information Security, Ethics, Risk & Compliance (ERC), Environmental, Social & Governance (ESG), Corporate Affairs, Internal Audit, Corporate Communications, Finance

Commitment to Diversity & Inclusion

We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Why Novartis?

Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture

How can we achieve this?

With our people. It is our associates that drive us each day to reach our ambitions.

Accessibility and accommodation

Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to receive more detailed information about the essential functions of a position, please send an e-mail to and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Skills Desired

Budget Management, Business Acumen, Digital Literacy, Operational Excellence (OpEx), Performance Management (PM), Planning, Project Management, Risk Management, Service Delivery Management, Stakeholder Management, Technology Use

In the context of China Cross-Border Data Transfer (CBDT) policy, if you need to apply for a position in China, please go to the local Recruiting System TaleNov.