Senior Ontologist (Lending Domain / Snowflake / AWS)

Able Too Work; Charlotte (NC); On-site; USD 110,000 - 124,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Health savings account

AD&D insurance

Employee assistance program

401k plan

Additional benefits

Job summary

NTT DATA in Charlotte, North Carolina is hiring a Senior Ontologist to design, implement, and govern ontologies for US lending domains. You will model concepts, map to Snowflake data assets, and collaborate with AI/ML teams to enable data-driven solutions.

You will leverage AWS services such as Neptune and SageMaker, apply RDF/OWL standards, and contribute to data governance and metadata management across enterprise data assets.

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.
• 3+ years in Banking, Financial Services, or lending-related data and processes.
• 3+ years hands-on with Snowflake and enterprise data environments.
• 2+ years with AWS services, preferably Neptune, SageMaker and IAM.
• Strong understanding of RDF, OWL, SPARQL, graph databases, metadata management, and semantic data modeling.
• Experience mapping business concepts to physical data models and data catalogs.

Responsibilities

• Design, develop, and maintain ontologies and semantic models for US lending products and data assets.
• Map ontology concepts to data models, Snowflake assets, and data catalogs.
• Collaborate with stakeholders, data architects, governance teams, and AI/ML teams.
• Develop knowledge graphs and semantic layers to support data discovery, lineage, and AI-enabled use cases.
• Leverage AWS services (Neptune, SageMaker, IAM) for graph modeling and secure data access.
• Apply RDF/OWL/SPARQL standards to develop ontology models.
• Establish ontology governance, naming conventions, and metadata standards.

Skills

Ontologies & semantic modeling

Knowledge graphs

Taxonomy management

Business glossary alignment

Stakeholder collaboration

Data governance

Education

Bachelor's degree in CS/IT/Data Science/Engineering or related field

Tools

Snowflake

Amazon Neptune

SageMaker

IAM

RDF/OWL/SPARQL

Alation/Collibra (data catalogs)

Job description

Company Overview:

Req ID: 395526

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization,

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

Job Description Senior Ontologist (Lending Domain / Snowflake / AWS)

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

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is [80 - 90$ W2 hourly range]. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications.

• participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits.

About NTT DATA:

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

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