Description

You will design and maintain enterprise data structures to ensure consistency, governance, and efficient data utilization.

Responsibilities

• Develop conceptual, logical, and physical data models across multiple organizational domains.
• Collaborate with business and functional teams to translate requirements into effective technical models.
• Standardize data models at the portfolio and domain levels to drive organizational efficiency.
• Optimize existing models to enhance data utilization in fraud, banking, and AML areas.
• Implement governance frameworks and metrics for model standardization and automated monitoring.

Required Skills

• 10+ years of experience as a Data Modeler in a large enterprise environment.
• Expertise in creating conceptual, logical, and physical data models.
• Hands-on experience with Erwin Data Modeler.
• Proficiency with Snowflake and Netezza database environments.
• Strong analytical skills for translating complex data requirements into technical models.
• Ability to develop training content and support materials for stakeholders.
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.

Preferred Skills

• Prior experience within an Enterprise Data Modeling team.
• Domain experience in Insurance or Investment Banking.

Key Skills

Education

Any Graduate