DATAECONOMY Inc.
Job Description
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)
practices. Strong communication skills and ability to translate complex data concepts to business users. Requirements
Experience with
ETL/ELT tools
(e.g., Informatica, Talend, dbt) and
reporting platforms
(e.g., Power BI, Tableau). Knowledge of
regulatory and compliance
frameworks relevant to Life Insurance. Exposure to
Agile/Scrum
methodology and tools like JIRA, Confluence. Certification in data modeling or insurance analytics is a plus. Benefits
Work on innovative data initiatives shaping the future of Life Insurance. Be part of a collaborative, technology-driven team leveraging best-in-class platforms like FINEOS. Competitive compensation, benefits, and flexible work arrangements.
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)
practices. Strong communication skills and ability to translate complex data concepts to business users. Requirements
Experience with
ETL/ELT tools
(e.g., Informatica, Talend, dbt) and
reporting platforms
(e.g., Power BI, Tableau). Knowledge of
regulatory and compliance
frameworks relevant to Life Insurance. Exposure to
Agile/Scrum
methodology and tools like JIRA, Confluence. Certification in data modeling or insurance analytics is a plus. Benefits
Work on innovative data initiatives shaping the future of Life Insurance. Be part of a collaborative, technology-driven team leveraging best-in-class platforms like FINEOS. Competitive compensation, benefits, and flexible work arrangements.