wilmington, delaware, united states Hybrid/Remote Options
Capital One
Principal Associate, Ontology and Data Modeling- Retail Bank The role of the Principal Associate of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Principal Associate of Ontology and Data Modeling, as part of Retail Bank Product, will be responsible for working collaboratively across Capital One Lines of … Business and Functions to develop domain ontologies in support of enterprise initiatives. The Principal Associate of Ontology and Data Modeling will be responsible for partnering within the Retail Bank and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Principal Associate of Ontology and Data Modeling should be capable … and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts. Primary Responsibilities Develop, implement and govern ontologies and optimized data models in consultation with stakeholders in teams dedicated to improving data discoverability, search, and product development Contribute to data integration and mapping efforts to harmonize data with More ❯
business recommendations. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or another quantitative discipline. Preferred experience: Hands-on experience with Palantir platforms (Foundry, AIP, Ontology), including developing analytical workflows and deploying insights within enterprise environments. PhD in Data Science, Statistics, Computer Science, or a related quantitative field. Publications in top data science/ML conferences More ❯
Statistics, Computer Science, or related quantitative discipline. Recognized as a technical thought leader through publications, external talks, or open-source contributions. Preferred Experience: Experience using Palantir platforms (Foundry, AIP, Ontology) to develop and operationalize insights. Familiarity with LLM application frameworks, vector databases, and knowledge graphs. Publications in top-tier AI/ML or data science conferences/journals (e.g., NeurIPS More ❯
and non-technical audiences. Master's or PhD in Statistics, Data Science, Computer Science, Economics, or a closely related discipline. Preferred Qualifications: Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments. PhD in Data Science, Statistics, Computer Science, or a related quantitative discipline. Publications in top-tier AI/ More ❯
3Data team in Threes IT &Networks department. The role holder will take ownership of Threes data architecture framework. This will include managing data through the relevantmodels, data standards and ontologies and the alignment to the delivery of dataquality, data improvement and data governance initiatives. The EDA will managethe definition and implementation of an enterprise data model (EDM) thatleverages the latest More ❯
polygraph. Vantor is seeking an experienced Solutions Architect to lead the design, integration, and evolution of a comprehensive knowledge management platform - one that unifies AI-driven insights, data engineering, ontology development, and core application sustainment. This role bridges AI innovation with enterprise software architecture, ensuring that our solutions remain secure, scalable, and transformative across the mission space. Responsibilities: Strategic & Architectural … with security and mission standards. Data & Knowledge Architecture Collaborate with data engineering teams to design data pipelines, ETL processes, and metadata management frameworks. Lead the development and maintenance of ontologies, taxonomies, and semantic data models that enable cross-domain intelligence sharing and discovery. Ensure data interoperability and accessibility across systems, with a focus on data provenance and quality. Platform Development … Proven experience leading complex, multi-component software systems, ideally involving AI/ML, data engineering, and cloud-based architecture. Strong understanding of LLMs, Generative AI frameworks, and knowledge representation (ontologies, graph databases, metadata standards). Demonstrated success integrating AI within larger enterprise or mission platforms. Familiarity with DevSecOps, CI/CD pipelines, and deployment of AI/ML systems in More ❯
years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing More ❯
years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing More ❯
years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing More ❯
years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing More ❯
years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing More ❯
years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing More ❯
years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing More ❯
years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing More ❯
years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing More ❯
years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing More ❯
years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing More ❯
years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing More ❯
years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing More ❯
years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing More ❯
years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing More ❯
years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing More ❯
years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing More ❯
years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing More ❯
delivery patterns across mission-critical projects. Key Highlights: Lead strategy and engineering for Palantir Foundry adoption Mentor engineers and influence data architecture across high-consequence programmes Build and optimise ontologies, pipelines, and semantic models Apply strong data engineering skills (Python, SQL, PySpark) Bring cloud expertise (AWS, Azure, or GCP) and proven team leadership If you have Palantir Foundry experience and More ❯
