EY-GDS Consulting-AI And DATA-Data Modeller-Manager

We are looking for a highly motivated and experienced Data Modeller – Manager Level specializing in Life Insurance accounts with 8-11 years of industry experience. The ideal candidate will lead data modelling efforts across various projects, driving the design, development, and governance of data architectures to support business intelligence, analytics, and operational data requirements. ### Roles and Responsibility Lead the development and governance of conceptual, logical, and physical data models to support data strategies for life insurance accounts. Oversee the implementation of RDBMS, operational data stores (ODS), data marts, and data lakes on SQL/NoSQL platforms, ensuring scalability and efficiency. Optimize data architectures and query performance by applying industry best practices and advanced modelling techniques. Collaborate with business stakeholders and IT teams to transform business requirements into comprehensive data strategies and architecture solutions. Establish and enforce data modelling standards and design practices that adhere to enterprise data governance policies. Define data flows and create data mappings to ensure seamless integration, enhanced data quality, and efficient reporting. Identify and recommend solutions for data infrastructure, security, automation, and interface design to support robust data ecosystems. Provide guidance and mentorship to teams, promoting best practices and maintaining consistency in data modelling across projects. Perform hands-on data modelling, design, performance tuning, and proof-of-concept (POC) development to validate models and solutions. Manage project timelines, mitigate risks, and address challenges to ensure on-time and successful delivery of data initiatives. ### Job Requirements Experience in executing and managing research and analysis of companies and markets, preferably from a commercial due diligence standpoint. Proven experience in data modelling within the insurance domain (Life Insurance is preferred). Strong expertise in designing and managing relational, dimensional, and NoSQL data models. Proficiency in data modelling tools and platforms (e.g., ER/Studio, ERwin, or similar). Deep understanding of data architecture principles, ETL processes, and data warehousing concepts. Knowledge of cloud platforms and technologies (Azure, AWS, or GCP) is a plus. Ability to manage multiple projects and collaborate with cross-functional teams. Excellent problem-solving, communication, and leadership skills. Good exposure to any ETL tools. Good knowledge about Life insurance. Understanding of Business Intelligence, Data Warehousing and Data Modelling. Must have led a team size of at least 4 members. Experience in Insurance domain. Prior Client facing skills, Self-motivated and collaborative.