Ontology Architect

🕒 June 23

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏛️ Architect

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Tiger Analytics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 Description

• - **Ontology & Taxonomy Design:** Lead the creation, modeling, and evolution of enterprise-wide ontologies, taxonomies, and controlled vocabularies that accurately represent complex business domains. • - **Knowledge Graph Architecture:** Design and implement scalable architecture, ingestion pipelines, and governance for enterprise Knowledge Graphs (Triple Stores or Property Graphs). • - **Semantic Layer Strategy:** Build and maintain the enterprise semantic layer to abstract physical data complexities, providing a unified, machine-readable business view of data. • - **Data Product Augmentation:** Partner with domain data teams to map, link, and augment decentralized **Data Products** using the central ontology to ensure semantic interoperability across the organization. • - **Inference & Reasoning:** Implement semantic reasoning and inference rules to automatically generate new metadata and uncover hidden insights within the graph. • - **Governance & Standards:** Establish best practices, version control mechanisms, and data contracts for semantic models, ensuring consistent graph schema updates across business units.

🎯 Requirements

• - **Semantic Standards:** Expert-level mastery of core semantic technologies • - **Knowledge Graph Engineering:** Hands-on experience designing and operating production-grade Graph Databases / Triple Stores (e.g., **GraphDB, Stardog, Amazon Neptune, AllegroGraph, or Neo4j**). • - **Ontology Modeling Tools:** Proficiency with industry-standard ontology engineering and taxonomy management software (e.g., **Protégé, TopBraid Composer, PoolParty**). • - **Modern Data Frameworks:** Clear, practical understanding of **Data Mesh** paradigms, specifically how to design a semantic layer that overlays federated, domain-driven **Data Products**. • - **Traditional Data Modeling:** Strong baseline in classic data concepts, including relational databases, dimensional modeling, and ETL/ELT integration patterns. • Preferred Skills • - **Data Quality & Validation:** Hands-on experience to enforce data quality and constraint validation across graph structures. • - **Advanced AI & Graph Analytics:** Familiarity with graph algorithms, graph machine learning (GNNs), or leveraging Knowledge Graphs to enhance Large Language Model architectures via Graph RAG (Retrieval-Aug Generation).

🏖️ Benefits

• Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. • ***Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.***