Senior Ontologist (Lending Domain / Snowflake / AWS)

NTT DATA, Inc.; Charlotte (NC); On-site; USD 118,000 - 196,000; Full time

Benefits offered by this job

Medical, dental & vision insurance

401k with company match

Paid time off

Life and AD&D insurance

Disability coverage

Employee assistance program

Job summary

NTT DATA Services seeks a Senior Ontologist for the Lending domain to design and maintain semantic models across lending products. You will collaborate with data architects, governance, and AI/ML teams to align semantic models with data products and enterprise data catalogs.

You will leverage Snowflake, AWS Neptune, SageMaker, and IAM to support graph modeling, data discovery, and AI-enabled use cases while applying RDF/OWL/SPARQL standards and governance practices.

Qualifications

• 7+ years in data modeling, semantic modeling, ontology engineering, knowledge management, or enterprise data architecture.
• 5+ years in ontology modeling, semantic technologies, knowledge graphs, or taxonomy management.
• 5+ years in Banking, Financial Services, or lending data and processes.
• 3+ years with US lending products (origination, underwriting, servicing, credit risk, collections).
• 3+ years with Snowflake and enterprise data environments.
• 2+ years with AWS services (Neptune, SageMaker, IAM).
• Strong understanding of RDF, OWL, SPARQL, graph databases, metadata management, and semantic data modeling.
• Experience mapping concepts to physical data models and data catalogs.

Responsibilities

• Design, develop, and maintain ontologies and semantic models for US lending products and data assets.
• Define business concepts, entities, relationships, taxonomies, and metadata standards across lending domains.
• Model end-to-end lending lifecycle: origination, underwriting, servicing, credit risk, collections.
• Collaborate with stakeholders, data architects, governance, and AI/ML teams to align semantic models with data products.
• Map ontology concepts to physical data models, Snowflake assets, and data catalogs.
• Develop and maintain knowledge graphs and semantic layers for data discovery and AI use cases.
• Leverage AWS services (Neptune, SageMaker, IAM) for graph modeling and secure data access.
• Apply RDF/OWL/SPARQL standards for ontology development and governance.
• Establish ontology governance, naming conventions, and reusable modeling practices.
• Support data governance, data quality, metadata management, and enterprise data management initiatives.
• Partner with AI/ML teams to enable semantic search and data-driven solutions.
• Evaluate and improve ontology models based on evolving requirements and standards.

Skills

Data modeling

Ontology engineering

Knowledge graphs

Semantic technologies

Stakeholder collaboration

Documentation

Problem solving

Lending domain understanding

Education

Bachelor’s degree in Computer Science / IT / Data Science / Engineering

Tools

Snowflake

AWS

Amazon Neptune

SageMaker

IAM

RDF

OWL

SPARQL

Alation

Collibra

Job description

Senior Ontologist (Lending Domain / Snowflake / AWS)

Date: Oct 26, 2026

Location: Charlotte, NC, US

Company: NTT DATA Services

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us.

We are currently seeking a Senior Ontologist (Lending Domain / Snowflake / AWS) to join our team in Charlotte, North Carolina (US-NC), United States (US).

Day-to-Day Job Duties: (What this person will do on a daily/weekly basis)

• Design, develop, and maintain business ontologies and semantic models for US lending products, processes, and enterprise data assets.
• Define business concepts, entities, relationships, taxonomies, and metadata standards across commercial, wholesale, consumer, mortgage, and credit lending.
• Model the end-to-end lending lifecycle, including loan origination, underwriting, servicing, credit risk, and collections.
• Collaborate with business stakeholders, data architects, data engineers, governance teams, and AI/ML teams to align semantic models with enterprise data products.
• Map ontology concepts and relationships to physical data models, Snowflake data assets, and enterprise data catalogs.
• Develop and maintain knowledge graphs and semantic layers to support data discovery, lineage, integration, and AI-enabled use cases.
• Leverage AWS services, including Amazon Neptune, SageMaker, and IAM, to support graph modeling, AI/ML initiatives, and secure data access.
• Apply semantic technologies and standards such as RDF, OWL, and SPARQL to develop and manage ontology models.
• Establish ontology governance, naming conventions, metadata standards, and reusable modeling practices.
• Support data governance, data quality, metadata management, and enterprise data management initiatives.
• Partner with AI/ML teams to enable AI-ready data assets, semantic search, knowledge graph applications, and data-driven solutions.
• Evaluate and improve ontology models based on evolving business requirements, data architecture, regulatory needs, and enterprise standards.

Basic Qualifications: (What are the skills required for this job with minimum years of experience on each)

• Minimum 7+ years of experience in data modeling, semantic modeling, ontology engineering, knowledge management, or enterprise data architecture.
• Minimum 5+ years of experience in ontology modeling, semantic technologies, knowledge graphs, or taxonomy management.
• Minimum 5+ years of experience in Banking, Financial Services, or lending-related data and business processes.
• Minimum 3+ years of experience with US lending products, including loan origination, underwriting, servicing, credit risk, or collections.
• Minimum 3+ years of hands-on experience with Snowflake and enterprise data environments.
• Minimum 2+ years of experience working with AWS services, preferably Amazon Neptune, SageMaker, and IAM.
• Strong understanding of RDF, OWL, SPARQL, graph databases, metadata management, and semantic data modeling.
• Experience mapping business concepts and ontologies to physical data models, data catalogs, and enterprise data products.
• Experience supporting AI/ML, data governance, data quality, and enterprise data management initiatives.
• Strong analytical, problem-solving, documentation, and stakeholder collaboration skills.
• Ability to translate complex lending concepts into reusable semantic models and business-friendly terminology.

Travel:

As required by business needs.

Degree:

Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field, or equivalent professional experience.

Nice to Have:

• Experience with FIBO (Financial Industry Business Ontology) or BIAN (Banking Industry Architecture Network).
• Experience building AI-ready data products, semantic layers, and knowledge graph solutions for financial services.
• Hands-on experience with Amazon Neptune or other graph database platforms.
• Experience with Alation, Collibra, or similar enterprise data catalog and metadata management tools.
• Knowledge of regulatory reporting, data lineage, data governance, and financial services data standards.
• Experience collaborating with data engineering, enterprise architecture, and AI/ML teams on large-scale data initiatives.

#LI-NorthAmerica

#INDFSINS

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $117,600.00 - $196,000.00. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications.

This position may also be eligible for incentive compensation based on individual and/or company performance.

• This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, lifeand AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us .

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us .

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NTT DATA is an equal opportunity employer.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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