Principal Associate, Ontology and Data Modeling

Job Description

11 West 19th Street (22008), United States of America, New York, New York

Job Title: Principal Associate, Ontology and Data Modeling

Role Overview:
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. As part of the Enterprise Products and Platforms team, you will collaborate with different departments to create domain ontologies for enterprise initiatives. You will also work with technology and machine learning teams to integrate semantic technology into Capital One's products and services. Your role will involve communicating the value of using semantic technology and knowledge organization concepts.

Key Responsibilities:
- Develop, implement, and govern ontologies and optimize data models to enhance data discoverability, search, and product development.
- Contribute to data integration and mapping efforts to align data with Capital One's upper and domain ontologies.
- Advocate for the value of ontologies, semantics, and standardization across the business.
- Collaborate with Technology, Machine Learning, and other teams to support the development and integration of semantics into Capital One products and services.
- Analyze and implement knowledge organization strategies using machine learning, ontology management, and semantic enrichment tools.
- Stay updated on competitor and industry developments related to ontologies, knowledge organization, data modeling, and machine learning.
- Adhere to W3C standards for ontologies, such as RDF, RDFS, OWL, SKOS, and SHACL.
- Develop standards, guidelines, and direction for ontology, data modeling, semantics, and data standardization at Capital One.
- Test and troubleshoot new or updated models and systems.
- Manage and oversee other projects as assigned by Product Owners and Supervisors.

Role-Based Competencies:
- Intellectually Curious: You have a hunger for learning, asking questions, and exploring new ideas.
- Communicator & Influencer: You can effectively communicate complex ideas to diverse audiences and rally associates to work together.
- Do-er: You take action, overcome obstacles, prioritize tasks, and stay focused on your goals.
- Passionate & Customer Focus: You care about growing others, building products, and understanding customer needs.
- Learner: You have a desire to learn new things and are not afraid to ask for help.
- Team Player: You enjoy working with diverse teams and putting the team's goals before your own.

Basic Qualifications:
- Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics, or computational linguistics OR a master's degree in any of these fields.
- At least 3 years of experience in a metadata field or training in information science, computer science, engineering, library science, ontology, semantics, or computational linguistics.
- At least 3 years of experience or training in using W3C standards (JSON, XML, RDF, RDFS, OWL, and SKOS).
- At least 3 years of experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World).
- At least 3 years of experience or training with SQL or SPARQL.

Preferred Qualifications:
- Master's degree in information science, computer science, engineering, library science, ontology, semantics, or computational linguistics.
- Understanding of ontologies, controlled vocabularies, and thesauri in enhancing data discovery and management.
- Familiarity with graph databases and technologies.
- Familiarity with Python or R programming languages.
- Familiarity with JSON, OpenAPI/YAML, AVRO.
- Familiarity with Agile principles and methodologies.
- Familiarity with Amazon Web Services.
- Detail-oriented with problem-solving skills.
- Strong reading and writing skills.
- Strong project management experience.
- Excellent communication skills.

This role is available in multiple locations and salaries vary based on location. For more information, please visit the Capital One Careers website.

Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited by law. Capital One promotes a drug-free workplace and complies with applicable laws regarding criminal background inquiries. If you require an accommodation during the application process, please contact Capital One Recruiting.

Capital One offers a comprehensive set of health, financial, and other benefits that support your total well-being. Eligibility varies based on employment status and level.

Note: No agencies please.

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Response to Applicant:

Dear Hiring Manager,

I am interested in the Principal Associate, Ontology and Data Modeling position at Capital One. I have a solid background in information science and computer science, and I believe my skills would make me a valuable asset to your team.

I have a Bachelor's degree in information science and three years of experience in a metadata field. I am familiar with W3C standards and have worked with various ontology and linked data tools. Additionally, I have experience with SQL and SPARQL.

I am intellectually curious and love exploring new ideas. I am a strong communicator and can effectively convey complex concepts to different audiences. I am a do-er and take action to overcome obstacles and achieve goals. My passion lies in understanding customer needs and delivering high-quality products.

I would appreciate the opportunity to discuss my qualifications further. Thank you for considering my application.

Sincerely,
[Your Name]