GenAI Data Modeler

Responsibilities

• Design scalable Data Architectures that aligns with AIG’s Data Strategy and Business goals.
• Assisting the integration of enterprise information assets, services, and business systems to ensure efficient data usage and compliance with governance standards.
• Create and manage data models and ontologies for large-scale business applications across multiple geographies.
• Document and continuously evaluate and provide recommendations to enhance the data architecture of our information systems, while educating teams on data governance standards and best practices.
• Collaborate with Product Teams, Engineering Teams, Data Governance teams and other teams to ensure data architecture supports the business objectives while maintaining high data quality, security, and privacy compliance across business applications.
• Maintain awareness of market and industry trends in data architecture and apply them to enhance AIG’s information lifecycle management and data integration processes.

Requirements

• 5+ years of Data Architecture & Data Modelling experience: You bring expertise in creating data models, and have a proven track record of modelling and contributing to the data architecture strategy at an enterprise level.
• Experience with best practices in data governance, security and privacy in modelling and architecture.
• Experience across key data domains, including Data Analysis, Reporting, and the conceptualization and design of data assets for data warehouses and data marts.
• Experience with Reference & Master Data Management systems.
• Passionate about using the latest technology for data innovation and excited to use AI and LLM integration to innovate.
• Experience (or certification) with Data Modelling tools, ETL tools, Snowflake, Dimensional Modelling, Data Vault Modelling, ER Modelling.
• Experience (or certification) with NoSQL databases like MongoDB, experience with XML / JSON.
• Strong SQL skills.
• Experience with Data Analysis and Data profiling.
• Strong communication skills – verbal and written.
• AGILE / Rally development experience or training required.
• Experience with (or strong enthusiasm about) AI-driven solutions.
• Experience with Palantir Foundry is advantageous, and knowledge of Ontology concepts is a plus.