Data Modeler – Life & Annuity (100% Remte)

==================== Need W2 Resource Only ======================= Role: Data Modeler – Life & Annuity (Remote) Location: 100% Remote Duration: 12+ Months W2 Contract Pay Rate: $75/Hr. on W2 Role SummaryWe are looking for a strong Data Modeler with hands-on experience in the Life & Annuity insurance domain, with deeper focus on Annuity products. The role involves designing and maintaining data models that support reporting, analytics, and downstream systems across insurance platforms. Key Responsibilities Design and develop conceptual, logical, and physical data models for Life & Annuity systems Work closely with business stakeholders to understand Annuity product structures and data flows Model data related to policies, contracts, riders, premiums, payouts, commissions, and servicing Translate business requirements into scalable and compliant data models Support data integration from policy admin systems to data warehouses and reporting platforms Ensure data quality, consistency, and adherence to industry standards Collaborate with data engineers, architects, and analytics teams Required Skills & Experience Strong experience as a Data Modeler in the insurance domain Mandatory hands-on experience in Life & Annuity, with solid Annuity exposure Deep understanding of Annuity concepts such as: Fixed, Variable, and Indexed Annuities Accumulation vs payout phase Riders, surrender charges, withdrawals, and annuitization Experience creating conceptual, logical, and physical data models Proficiency with data modeling tools such as ERwin, ER/Studio, or similar Strong SQL knowledge and understanding of relational databases Experience working with data warehouses and reporting systems Ability to work with business and technical teams Good to Have Experience with policy administration systems (LifePro, Vantage, ALIP, CyberLife, etc.) Knowledge of regulatory and compliance reporting in insurance Experience in cloud data platforms (AWS, Azure, GCP) Job Type: Contract Pay: Up to $75.00 per hour Expected hours: 40 per week Work Location: Remote