Req ID: 395526
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#INDFSINSNTT 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.
