We are seeking a skilled Data Modeler with expertise in designing implementing and optimizing data models within the insurance domain. The candidate will be responsible for translating complex business requirements into robust conceptual logical and physical data models that support insurance operations including policy administration claims underwriting billing and regulatory compliance. The role requires strong experience with Erwin Data Modeler or similar tools deep knowledge of insurance data processes and the ability to work closely with business and technical stakeholders to ensure data integrity scalability and compliance.
Key Responsibilities
Data Modeling & Design
- Design develop and maintain conceptual logical and physical data models for insurance applications and systems (claims policy underwriting billing reinsurance etc.).
- Build and maintain enterprise data models aligned with insurance industry standards (e.g. ACORD).
- Define data dictionaries metadata and relationships to support data governance and consistency.
- Ensure data models are optimized for both transactional (OLTP) and analytical (OLAP) systems.
Insurance Domain Expertise
- Translate business requirements from claims policy administration underwriting actuarial and finance teams into scalable data solutions.
- Support regulatory and compliance reporting requirements (e.g. IRDAI IFRS Solvency II).
- Ensure models capture core insurance processes such as claims intake adjudication settlement renewals endorsements and cancellations.
Collaboration & Stakeholder Engagement
- Partner with business analysts data architects and developers to deliver insurance-specific data solutions.
- Work with data warehouse ETL and BI teams to ensure seamless integration of insurance data.
- Collaborate with actuaries claims specialists and policy teams to validate data definitions and usage.
Governance & Standards
- Enforce data governance and quality standards across insurance systems.
- Document business rules lineage and data definitions for core insurance entities.
- Conduct impact analysis for changes in insurance processes and data flows.
Requirements
Qualifications
Experience
- 5 years of experience as a Data Modeler or Data Architect preferably in the insurance industry.
- Strong hands-on experience with Erwin Data Modeler (or equivalent data modeling tools).
- Proven expertise in modeling insurance data entities such as Policy Customer Premiums Claims Payments Underwriting Reinsurance and Agents/Brokers.
- Experience working with data warehouses data lakes and cloud platforms (AWS Azure or GCP).
Skills
- Strong knowledge of insurance domain data flows and regulatory needs.
- Expertise in conceptual logical and physical modeling.
- Proficiency in SQL for data analysis and validation.
- Familiarity with insurance standards (e.g. ACORD ISO) is a plus.
- Understanding of data governance metadata management and lineage tracking.
Education
- Bachelors or Masters degree in Computer Science Information Systems Data Management or a related field.
Preferred Certifications (not mandatory)
- Erwin Data Modeler Certification.
- Insurance certifications (e.g. AINS CPCU) are highly desirable.
- Data management certifications (e.g. CDMP).
Key Attributes
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
- Detail-oriented with a focus on accuracy and compliance.
- Ability to thrive in a fast-paced insurance environment with multiple priorities.
We are seeking a skilled Data Modeler with expertise in designing implementing and optimizing data models within the insurance domain. The candidate will be responsible for translating complex business requirements into robust conceptual logical and physical data models that support insurance operat...
We are seeking a skilled Data Modeler with expertise in designing implementing and optimizing data models within the insurance domain. The candidate will be responsible for translating complex business requirements into robust conceptual logical and physical data models that support insurance operations including policy administration claims underwriting billing and regulatory compliance. The role requires strong experience with Erwin Data Modeler or similar tools deep knowledge of insurance data processes and the ability to work closely with business and technical stakeholders to ensure data integrity scalability and compliance.
Key Responsibilities
Data Modeling & Design
- Design develop and maintain conceptual logical and physical data models for insurance applications and systems (claims policy underwriting billing reinsurance etc.).
- Build and maintain enterprise data models aligned with insurance industry standards (e.g. ACORD).
- Define data dictionaries metadata and relationships to support data governance and consistency.
- Ensure data models are optimized for both transactional (OLTP) and analytical (OLAP) systems.
Insurance Domain Expertise
- Translate business requirements from claims policy administration underwriting actuarial and finance teams into scalable data solutions.
- Support regulatory and compliance reporting requirements (e.g. IRDAI IFRS Solvency II).
- Ensure models capture core insurance processes such as claims intake adjudication settlement renewals endorsements and cancellations.
Collaboration & Stakeholder Engagement
- Partner with business analysts data architects and developers to deliver insurance-specific data solutions.
- Work with data warehouse ETL and BI teams to ensure seamless integration of insurance data.
- Collaborate with actuaries claims specialists and policy teams to validate data definitions and usage.
Governance & Standards
- Enforce data governance and quality standards across insurance systems.
- Document business rules lineage and data definitions for core insurance entities.
- Conduct impact analysis for changes in insurance processes and data flows.
Requirements
Qualifications
Experience
- 5 years of experience as a Data Modeler or Data Architect preferably in the insurance industry.
- Strong hands-on experience with Erwin Data Modeler (or equivalent data modeling tools).
- Proven expertise in modeling insurance data entities such as Policy Customer Premiums Claims Payments Underwriting Reinsurance and Agents/Brokers.
- Experience working with data warehouses data lakes and cloud platforms (AWS Azure or GCP).
Skills
- Strong knowledge of insurance domain data flows and regulatory needs.
- Expertise in conceptual logical and physical modeling.
- Proficiency in SQL for data analysis and validation.
- Familiarity with insurance standards (e.g. ACORD ISO) is a plus.
- Understanding of data governance metadata management and lineage tracking.
Education
- Bachelors or Masters degree in Computer Science Information Systems Data Management or a related field.
Preferred Certifications (not mandatory)
- Erwin Data Modeler Certification.
- Insurance certifications (e.g. AINS CPCU) are highly desirable.
- Data management certifications (e.g. CDMP).
Key Attributes
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
- Detail-oriented with a focus on accuracy and compliance.
- Ability to thrive in a fast-paced insurance environment with multiple priorities.
View more
View less