Aig

Insurance

DataModeller

Dublin, Ireland FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Data Modeller at Aig. Skills: Data Architecture, Data Modelling, Data Governance. Drive data architecture and ontology frameworks. Shape data modelling, integration, and governance”

What You'll Achieve.

Ensure data systems are robust, scalable, and future proof; Help business applications deliver faster; Deliver high-impact business outcomes; Ensure data architecture supports innovation, compliance, and improved business performance; Ensure efficient data usage; Ensure compliance with governance standards; Maintain high data quality, security, and privacy compliance

Industry & Context.

Insurance

What They're Looking For.

Must Have

8+ years of Data Architecture & Data Modelling experience, Data governance, security and privacy in modelling and architecture, Data Analysis, Reporting, Data warehouses, Data marts, Reference & Master Data Management systems, SQL skills, Data Analysis, Data profiling, AGILE / Rally development experience or training

Nice to Have

Data Modelling tools, ETL tools, Snowflake, Dimensional Modelling, Data Vault Modelling, ER Modelling, NoSQL databases, MongoDB, XML / JSON, AI-driven solutions, Palantir Foundry, Ontology concepts

What You'll Do.

Drive data architecture and ontology frameworks

Create reusable enterprise information assets

Design scalable Data Architectures

Align with AIG’s Data Strategy

Integrate enterprise information assets

Create and manage data models

Document and enhance data architecture

Educate teams on data governance

Collaborate with Product Teams

Monitor market and industry trends

How You'll Work.

Team & Collaboration

Collaborate closely with solution architects; Collaborate with product owners; Collaborate with engineering teams; Collaborating with Product Teams; Collaborating with Engineering Teams; Collaborating with Data Governance teams

Communication Scope

communication skills – verbal and written

Full Job Description

**How you will create an impact** As a Data Modeller, 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. **Your responsibilities include** * 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. **What is needed to be successful** * 8+ 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

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