GenAI Data Modeler

Overview

As a Data Modeler, you will drive the development of AIG’s data architecture and ontology frameworks, ensuring that our data systems are robust, scalable, and future proof. You’ll shape how data is modelled, integrated, and governed across the organization, helping business applications deliver faster with greater quality and compliance. Your role will be crucial in creating reusable enterprise information assets, and you will collaborate closely with solution architects, product owners, and engineering teams to deliver high-impact business outcomes.

This is an opportunity to play a key role in ensuring data architecture supports innovation, compliance, and improved business performance.

• 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.
• Creating and managing data models and ontologies for large-scale business applications across multiple geographies.
• Documenting 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.
• Collaborating 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.
• Monitoring market and industry trends in data architecture and applying them to enhance AIG’s information lifecycle management and data integration processes.

• 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
• You have 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.
• You are passionate about using the latest technology for data innovation and are 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 No
  
  SQL 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.

At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike.

At AIG, our people are our greatest asset. We know how important it is to protect and invest in what’s most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security—as well as your professional development—to bring peace of mind to you and your family.

AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories.
AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to