Senior Semantic Data & Knowledge Engineer

Posted Yesterday
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Hiring Remotely in Office, Machaze, Manica, MOZ
Remote or Hybrid
Senior level
Biotech • Pharmaceutical
The Role
Designs and maintains enterprise ontologies, taxonomies, knowledge graphs, metadata frameworks, semantic layers, and business glossaries. Supports data governance, semantic search, enterprise knowledge discovery, RAG and GraphRAG solutions, AI assistants, and agentic AI use cases. Collaborates with business domain owners and data stewards to standardize terminology, policies, controls, processes, and data assets across People and Organization and Corporate Functions.
Summary Generated by Built In

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. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture

Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network
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

Skills Required

  • Bachelor's or Master's degree in Information Management, Computer Science, Data Science, Analytics, AI, or a 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 with metadata, taxonomy, ontology, or knowledge management initiatives
  • Technical expertise in AWS Data Platforms, Knowledge Graphs, Ontology Development, Taxonomy Design, RAG or GraphRAG, and Vector Databases
  • Technical expertise in Microsoft Fabric, Amazon Neptune, Collibra, metadata management, semantic layer technologies, enterprise search, AI knowledge repositories, and API or integration technologies
  • Experience with People and Organization domains, including Core HR, Workforce Planning, People Analytics, Talent and Skills Intelligence, Learning and Development, Organizational Effectiveness, or Employee Experience
  • Experience with Corporate Functions domains, including Legal, Security, Ethics, Risk and Compliance, ESG, Corporate Affairs, Internal Audit, Corporate Communications, or Finance

Novartis Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Novartis and has not been reviewed or approved by Novartis.

  • Healthcare Strength — Pay and benefits are described as a strong overall package, supported by medical, dental, and vision insurance alongside FSAs/HSAs and disability and life coverage. Mental-health support is reinforced through an employee assistance program with psychological support and a network of mental health first aiders.
  • Retirement Support — Retirement support is positioned as a standout element, with an automatic company contribution plus dollar-for-dollar matching in the 401(k). Additional retirement funding is described through an age-based defined contribution program and access to an employee share purchase plan discount.
  • Parental & Family Support — Family-related benefits are framed as robust, including a global minimum of paid parental leave for new parents following birth or adoption. Added supports include domestic partner coverage, dependent-care resources, and benefits such as adoption assistance and child/elder care options.

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The Company
HQ: Basel
110,000 Employees
Year Founded: 1996

What We Do

Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide.

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