Senior Ontologist (Lending Domain / Snowflake / AWS)

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, apply now.

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, life and 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.

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