Senior Data Modeler
DATAECONOMYAbout the role
Job Title: Senior Data Modeler – Life Insurance
Location: Holmdel, NJ/ Bethlehem, PA
Department: Data & Analytics / Enterprise Architecture
Industry: Life Insurance / InsurTech
Employment Type: Full-time
DATAECONOMY is one of the fastest-growing Data & Analytics company with global presence. We are well-differentiated and are known for our Thought leadership, out-of-the-box products, cutting-edge solutions, accelerators, innovative use cases, and cost-effective service offerings.
We offer products and solutions in Cloud, Data Engineering, Data Governance, AI/ML, DevOps and Blockchain to large corporates across the globe. Strategic Partners with AWS, Collibra, cloudera, neo4j, DataRobot, Global IDs, tableau, MuleSoft and Talend.
Position Summary:
We are seeking an experienced Senior Data Modeler with a deep understanding of the Life Insurance domain and hands-on experience with the FINEOS platform. The ideal candidate will lead the design and maintenance of conceptual, logical, and physical data models that support business intelligence, analytics, and operational data needs across the organization.
Key Responsibilities:
Design, develop, and maintain enterprise data models (conceptual, logical, and physical) for Life Insurance systems and data assets.
Translate business requirements into well-structured data models to support transactional, analytical, and operational reporting.
Collaborate with stakeholders, including business analysts, data architects, and application developers, to understand data needs and align with enterprise data standards.
Work closely with FINEOS implementation teams to model and map policy administration, claims, billing, and customer data from FINEOS into enterprise data structures.
Maintain and evolve data dictionaries, data lineage, and metadata to ensure clarity, consistency, and governance across systems.
Assist in integrating FINEOS data with downstream systems such as data lakes, warehouses, and BI tools.
Support data quality and reconciliation processes by ensuring models align with source systems and regulatory reporting requirements.
Contribute to data governance efforts by ensuring models adhere to privacy, security, and compliance standards (e.g., HIPAA, SOX).
Provide mentorship and oversight to junior modelers and data analysts.
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Information Systems, Actuarial Science, or a related field.
7+ years of experience in data modeling within Life Insurance, with in-depth knowledge of policy, underwriting, claims, billing, and customer data.
Proven expertise with FINEOS—understanding of its data structures, APIs, and integration patterns.
Strong experience with data modeling tools (e.g., Erwin, PowerDesigner, ER/Studio, Toad Data Modeler).
Deep understanding of data warehousing, data marts, and data lakes in the context of insurance.
Proficiency in SQL and understanding of relational, dimensional, and NoSQL modeling.
Experience working in both on-prem and cloud-based environments (AWS, Azure, or GCP).
Familiarity with data governance, lineage, and master data management (MDM)
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