Offshore Data Modeler

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.

Qualifications

Experience

• 4+ 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

• Bachelor’s or master’s 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.

Qualifications

Experience

• 4+ 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

• Bachelor’s or master’s degree in computer science, Information Systems, Data Management, or a related field.

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.