Executive Director – Semantic and Knowledge Engineering

🕒 August 24

🏖️ New Jersey – Remote

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💵 $225.4k - $418.6k / year

⏰ Full Time

🔴 Lead

🖥 Software Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 13%

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Logo of Novartis

Novartis

10,000+ employees

Founded 1996

🏥 Healthcare

💼 Consulting

🏭 Manufacturing

Healthcare • Consulting • Manufacturing

Novartis is an innovative medicines company dedicated to reimagining medicine to improve and extend people’s lives. With a presence in over 250 million patients worldwide, Novartis focuses on harnessing scientific breakthroughs to develop transformative, high-value treatments in areas such as cardiovascular, renal and metabolic diseases, immunology, neuroscience, and oncology. The company is committed to diversity, equity, and inclusion, and aims to create a positive impact through societal contributions and environmental sustainability efforts. Furthermore, Novartis engages in research collaborations and embraces modern technology platforms to advance their research and development capabilities, making them a leader in the global healthcare industry.

📋 Description

• Define and execute the enterprise strategy for semantic technologies, knowledge engineering, and knowledge graph capabilities • Lead development and governance of enterprise ontologies, taxonomies, business vocabularies, and semantic models • Design and implement the enterprise semantic layer for trusted AI, consistent analytics, interoperability, and reusable business knowledge • Partner with Applied AI, Data Science, Product Management, Engineering, and Business teams to embed semantic capabilities into NovaOS products and AI solutions • Establish governance, metadata management, knowledge lifecycle processes, and quality standards for enterprise knowledge assets • Drive innovation in knowledge graphs, retrieval-augmented generation (RAG), semantic search, reasoning engines, and AI-enabled knowledge management • Build and lead a high-performing team of semantic engineers, ontology specialists, and knowledge engineers • Report to the VP, Applied AI, Data Science, and Commercial Intelligence

🎯 Requirements

• Bachelor's or advanced degree in Computer Science, Information Science, Artificial Intelligence, Data Science, Bioinformatics, or a related discipline • 10+ years of experience in semantic technologies, knowledge engineering, enterprise architecture, data management, or AI platforms, including leadership experience • Deep expertise with ontologies, taxonomies, metadata, RDF/OWL, knowledge graphs, graph databases, semantic web technologies, and enterprise information architecture • Experience building enterprise semantic platforms that enable AI, analytics, search, and data interoperability at scale • Exceptional leadership, executive communication, and cross-functional stakeholder management skills • 10% travel requirement

🏖️ Benefits

• Performance-based cash incentive • Eligibility to be considered for annual equity awards, depending on role level • Health benefits • Life benefits • Disability benefits • 401(k) with company contribution and match • Vacation • Personal days • Holidays • Other leaves

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