Ontology Expert Job at NTT DATA (Toronto)

New

Ontology Expert

The Ontology Expert role focuses on designing and governing healthcare ontologie...

Location

United States , Dallas

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years of experience in ontology engineering, semantic modeling, or knowledge engineering
Strong healthcare domain knowledge (clinical, payer, or life sciences)
Experience working with structured and unstructured healthcare data
Ability to collaborate across technical and clinical teams
Strong knowledge of OWL, RDF, SPARQL, and knowledge graph technologies
Experience with ontology tools such as Protégé, TopBraid, or Stardog
Familiarity with FHIR, HL7, and healthcare data models
Exposure to AI/ML and GenAI systems, including LLM-enabled solutions

Job Responsibility

Design, build, and maintain healthcare ontologies and semantic models
Define domain vocabularies, taxonomies, and relationships for AI-driven solutions
Support knowledge representation for AI agents, decision-support, and clinical intelligence systems
Collaborate with clinicians, data scientists, and AI engineers to translate knowledge into formal models
Govern ontology lifecycle, versioning, and semantic consistency
Develop ontologies using standards such as OWL, RDF, and SKOS
Work with healthcare standards and terminologies (SNOMED CT, ICD-10, LOINC, RxNorm)
Enable semantic interoperability across EHRs and healthcare data sources
Support reasoning, inference, and rule-based logic for AI systems
Enable AI and GenAI systems with structured healthcare knowledge

Fulltime

Knowledge Graph - RAG Agentic AI Expert

You will join Dell, driving innovation at the intersection of knowledge graphs a...

Location

United States , Austin

Salary:

196000.00 - 254000.00 USD / Year

Dell

Expiration Date

Until further notice

Requirements

Deep expertise in taxonomy, ontology, and semantic modeling with hands‑on experience building and operating enterprise knowledge graphs
fluency in Cypher and SPARQL
Proven delivery of production LLM, RAG/GraphRAG, and multi‑agent systems with guardrails, safe tool use, tracing, and lifecycle management using frameworks such as LangGraph and LlamaIndex
Strong Python and AI/ML skills with practical NLP for extraction and normalization, plus rigorous experiment design, error analysis, and A/B testing
Knowledge of graph ML and retrieval including graph embeddings and algorithms, hybrid text‑plus‑graph retrieval, and reranking, and multi‑hop reasoning
Clear communication and leadership in agile environments with the ability to influence product direction, mentor engineers, and engage technical and non‑technical stakeholders
Experience establishing evaluation and governance for RAG/GraphRAG and graphs

Job Responsibility

Define end‑to‑end architecture for LLM, RAG/GraphRAG, and multi‑agent systems, including data pipelines, deployment, observability, governance, and cost controls
Design ontologies and taxonomies
build and operate enterprise knowledge graphs (Neo4j, RDF/OWL), integrating structured, semi‑structured, and unstructured sources with lineage and scalable Cypher/SPARQL queries
Develop extraction and linking pipelines for entities and relations, including disambiguation, conflation, deduplication, canonicalization, and quality assurance
Build production LLM and agentic workflows (e.g., LangGraph, LlamaIndex) for KG enrichment and natural‑language‑to‑graph query generation with safe tool use, tracing, and human‑in‑the‑loop where needed
Implement advanced retrieval that blends vector search, symbolic reasoning, and KG retrieval, including GraphRAG, hybrid dense/sparse retrieval, ontology‑guided search, and contextual agents
Establish evaluation and observability using OpenTelemetry, SLIs/SLOs, and metrics for RAG/GraphRAG/graphs-such as faithfulness, grounding, multi‑hop accuracy, entity‑resolution precision/recall/F1, link‑prediction MRR/Hits@K, schema/SHACL validation rates, and query latency
lead metadata governance, audits, drift detection, and remediation with cross‑functional teams

What we offer

Comprehensive Healthcare Programs
Award Winning Financial Wellness Tools and Resources
Generous Leave of Absence for New Parents and Caregivers
Industry Leading Wellness Platform
Employee Assistance Program

New

Data Engineer - Lead

Altamira Technologies is seeking an experienced Data Engineer to join our growin...

Location

United States , Centennial

Salary:

Not provided

Altamira Technologies

Expiration Date

Until further notice

Requirements

Bachelor's Degree in technical field
5+ years experience in data engineering
Well versed in Extract, Transforms, Load (ETL) techniques and technologies
Active TS/SCI clearance with ability to obtain CI polygraph
Self-motivated and eager to work intently to satisfy mission requirements
Aggressively detail-oriented
Eager and able to rapidly learn new data types and technologies
Adaptable and has the desire to maintain our company culture
Ability to effectively communicate in verbal and written communications with internal and external stakeholders of various backgrounds
Ability to multitask and adjust priorities as needed

Job Responsibility

Create ontologies that define the concepts, categories, and relationships relevant to ingested data
Ensure that data from different sources can be integrated seamlessly
Work with Subject Matter Experts to reach consensus on how the ontology's structure is designed
Serve as the data custodian
Coordinate and participate in Technical Exchange Meetings with data stakeholders
Identify, gather, and organize critical technical metadata to enrich the data catalog
Create visual representations of available data
Create and maintain charts, graphs, and dashboards to make complex data understandable
Build statistical tools and techniques to explore and analyze data
IPT Lead - willingness to perform interviews, select candidates and provide overall team leadership

Fulltime

Specialist Technical Architect

The role is responsible for developing and maintaining the data architecture acr...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Doctorate Degree
Master’s degree with 4 - 6 years of experience in Computer Science, IT or related field
Bachelor’s degree with 6 - 8 years of experience in Computer Science, IT or related field
Diploma with 10 - 12 years of experience in Computer Science, IT or related field
Proficiency in creating conceptual, logical, and physical data models
Ability to interview and communicate with business Subject Matter experts to develop data models
Knowledge of metadata standards, taxonomies, and ontologies
Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), performance tuning on big data processing
Implementing Data testing and data quality strategies

Job Responsibility

Develop and maintain conceptual logical, and physical data models and to support business needs
Contribute to and Enforce data standards, governance policies, and best practices
Design and manage metadata structures to enhance information retrieval and usability
Maintain comprehensive documentation of the architecture, including principles, standards, and models
Evaluate and recommend technologies and tools that best fit the solution requirements
Drive continuous improvement in the architecture by identifying opportunities for innovation and efficiency

Specialist Data Architect

The role is responsible for developing and maintaining the data architecture acr...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree with 4 - 6 years of experience in Computer Science, IT or related field
Bachelor’s degree with 6 - 8 years of experience in Computer Science, IT or related field
Diploma with 10 - 12 years of experience in Computer Science, IT or related field
Proficiency in creating conceptual, logical, and physical data models
Ability to interview and communicate with business Subject Matter experts to develop data models
Knowledge of metadata standards, taxonomies, and ontologies
Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), performance tuning on big data processing
Implementing Data testing and data quality strategies

Job Responsibility

Develop and maintain conceptual logical, and physical data models and to support business needs
Contribute to and Enforce data standards, governance policies, and best practices
Design and manage metadata structures to enhance information retrieval and usability
Maintain comprehensive documentation of the architecture, including principles, standards, and models
Evaluate and recommend technologies and tools that best fit the solution requirements
Drive continuous improvement in the architecture by identifying opportunities for innovation and efficiency

Clinical Analytics Specialist

Join Elsevier as a Clinical Analytics Specialist where you will leverage your me...

Location

United States , Texas

Salary:

78800.00 - 131300.00 USD / Year

EdTech Jobs

Expiration Date

Until further notice

Requirements

Clinical degree required (MD, MBBS, GP)
Formal training or significant experience in evidence-based medicine, clinical research, epidemiology, biostatistics, and the application of evidence to practice
Excellent command of the English language in both spoken and written forms
Proficiency in a Microsoft Windows environment
Strong MS Word/Powerpoint skills and ability to work with templates using an electronic content management system
Demonstrated problem-solving ability, sense of urgency, and ability to prioritize tasks, to work simultaneously on multiple projects, and to ensure completion of editorial team projects per tight timelines
Able to work with a variety of stakeholders at the mid and senior management level

Job Responsibility

Appling clinical knowledge to extract and integrate data in a healthcare environment
Adapting domain ontologies for information extraction, data modeling and analysis
Working closely with data scientists, clinicians, subject matter experts (SMEs), taxonomists, and data analysts to provide insights used in automation and applications for our businesses in health markets
Working on the modeling, validation, and maintenance of core extracted clinical relationships to deliver an evidence-based and development of Elsevier’s healthcare knowledge graph (H-graph)
Providing insight for ensuring high quality of automated indexing for search & discovery
Appling own domain knowledge and work with external clinical experts to confirm and validate clinical accuracy of content
Ensure that content is clinically accurate, current, and supported by the best available evidence from the medical literature, current guidelines, and accepted performance standards
Building domain specific training data sets for machine learning (ML) models used in Point-of-care products
Predictive analytics and insights from combining big datasets in healthcare
Participating in design, prototyping, and analytics in their day to day providing insights for algorithm codification that will improve clinical workflows and content creation

What we offer

Annual incentive bonus
Country specific benefits

Fulltime

Data Analyst – Digital Workplace

The Data Analyst will play a key role in designing, developing, and deploying sc...

Location

India , Bangalore Area

Salary:

Not provided

Airbus

Expiration Date

Until further notice

Requirements

Bachelor/ Master Degree in Mathematics, Economics, Computer Science, Information Management, Statistics or relevant field with 3-6 years of data analysis, data management and software development experience
Hands-on experience with Skywise / Palantir Foundry for building and deploying end-to-end data solutions
Proven track record in developing and maintaining large-scale data applications on Foundry
Proficiency in Ontology Manager, Code Authoring, Contour, Workshop, and Data Ingestion modules
Advanced proficiency in Python, SQL, React, JavaScript, and CSS
Strong understanding of REST APIs and Big Data architectures
Experience in ETL scripting for data transformation
Advanced analytical expertise in data modeling, database management, and SQL (expert level)
Experience with BI tools, Google Data Studio, and BigQuery
Skilled in designing and maintaining KPI metrics, dashboards, and Performance Analytics (PA) reports

Job Responsibility

Design, build, and maintain robust data analytics and application solutions within the Skywise (Palantir Foundry) framework
Develop, test, document, and deploy data pipelines, analytical models, and visualization tools to support strategic and operational initiatives
Work with Product Owners and core Airbus business functions to capture requirements, understand business processes, and deliver impactful data-driven solutions
Manage the full application delivery lifecycle — from design and implementation to testing, deployment, and support
Build and maintain pipelines to enable automated deployments across Development, QA, and Production environments
Troubleshoot and resolve application issues, manage incidents and requests, and provide ongoing support for developed tools
Encourage and enable self-service analytics by empowering business teams and promoting data literacy
Coach and develop data analytics awareness among internal customers and stakeholders
Define, implement, and maintain KPI metric reports, dashboards, and performance analytics (PA) reporting
Help automate reporting processes and transform the organization’s approach to data management

Fulltime

Taxonomist / Metadata Specialist

We are seeking a Taxonomist / Metadata Specialist to serve as the lead subject m...

Location

United States

Salary:

Not provided

Tier4 Group

Expiration Date

Until further notice

Requirements

Hands‑on experience developing and implementing taxonomies and metadata across enterprise platforms to improve search, reuse, and AI experiences
Experience designing and operationalizing metadata governance, including standards, templates, workflows, and quality rules
Strong stakeholder facilitation skills, with the ability to reconcile competing mental models into a shared framework
Ability to work independently in a less‑mature or greenfield environment and deliver production‑ready outcomes
Bachelor’s degree in information science, library science, semantics, ontology, or a related field (or equivalent experience)
2+ years of professional experience in taxonomy, metadata, ontology, or related disciplines
Demonstrated experience supporting AI‑enabled or search‑driven experiences using structured metadata
Hands‑on experience implementing metadata standards within CMS and/or enterprise search platforms
Strong written and verbal communication skills, including the ability to influence without authority

Job Responsibility

Analyze existing metadata structures across HR systems and content platforms to identify gaps, overlaps, and inconsistencies
Define and implement an enterprise‑ready metadata, taxonomy, and ontology strategy tailored to HR and AI use cases
Develop and operationalize a sustainable metadata framework that supports AI‑driven search, retrieval, and future agentic experiences
Establish metadata standards, governance processes, approval workflows, and operational rules to maintain integrity over time
Partner with HR subject‑matter experts, content strategists, technology teams, and business stakeholders to align on metadata design
Facilitate and/or lead co‑creation workshops to gather input, validate taxonomy models, and drive stakeholder adoption
Consult with technology teams to ensure metadata aligns with AI infrastructure and platform capabilities
Drive education, documentation, and best practices for tagging and metadata usage in partnership with change management teams
Audit real content, search logs, and consumption data to continuously refine taxonomy and metadata models
Serve as a single‑practitioner metadata and taxonomy lead, setting standards, templates, and repeatable processes

Ontology Expert

NTT DATA

Location:
Canada , Toronto

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
May 04, 2026

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