What are the responsibilities and job description for the Senior Data consultant (Data Modelling & Insurance Domain) position at Accord Technologies Inc?
Senior Data Consultant (Data Modelling & Insurance Domain)
Location: Philadelphia, PA
Position type: Onsite role (need NJ, PA based candidates who can join immediately)
Tax type: W2 contract
Candidate should be available to start by next week.
Job Description
This is a senior practitioner role responsible for designing and building Ontology.
The role bridges the gap between insurance finance business knowledge and formal ontology engineering, translating KPIs, into a machine-interpretable semantic model using OWL 2 / RDF standards.
Insurance Domain Expertise (Must-Have)
10 years of overll experience of which 5 years working in insurance or reinsurance domains
Data Modelling & Ontology Engineering (Must-Have)
Demonstrated experience designing conceptual, logical, and physical data models in financial services contexts
Practical experience with ontology authoring tools (Prot g , WebProt g , Metaphactory, or TopBraid) and semantic standards
Experience building or contributing to enterprise semantic data models, knowledge graphs, or FIBO/ACCORD aligned ontologies
Ability to translate business glossary terms, KPI definitions, and reporting hierarchies into formal ontology constructs (classes, properties, restrictions, named individuals)
Understanding of SPARQL for querying and validating graph data
Data Governance & Lineage (Preferred)
Experience with end-to-end data lineage documentation from source system to BI report
Familiarity with Microsoft Purview, Fabric catalog, or equivalent data governance tooling
Understanding of Critical Data Elements (CDEs), data quality rule libraries, and stewardship operating models
Location: Philadelphia, PA
Position type: Onsite role (need NJ, PA based candidates who can join immediately)
Tax type: W2 contract
Candidate should be available to start by next week.
Job Description
This is a senior practitioner role responsible for designing and building Ontology.
The role bridges the gap between insurance finance business knowledge and formal ontology engineering, translating KPIs, into a machine-interpretable semantic model using OWL 2 / RDF standards.
Insurance Domain Expertise (Must-Have)
10 years of overll experience of which 5 years working in insurance or reinsurance domains
Data Modelling & Ontology Engineering (Must-Have)
Demonstrated experience designing conceptual, logical, and physical data models in financial services contexts
Practical experience with ontology authoring tools (Prot g , WebProt g , Metaphactory, or TopBraid) and semantic standards
Experience building or contributing to enterprise semantic data models, knowledge graphs, or FIBO/ACCORD aligned ontologies
Ability to translate business glossary terms, KPI definitions, and reporting hierarchies into formal ontology constructs (classes, properties, restrictions, named individuals)
Understanding of SPARQL for querying and validating graph data
Data Governance & Lineage (Preferred)
Experience with end-to-end data lineage documentation from source system to BI report
Familiarity with Microsoft Purview, Fabric catalog, or equivalent data governance tooling
Understanding of Critical Data Elements (CDEs), data quality rule libraries, and stewardship operating models
Salary : $50 - $52