Description

Design and maintain data architectures within an Enterprise Data Modeling team, ensuring consistency and governance across organizational domains.

Responsibilities

• Develop conceptual, logical, and physical data models that translate business requirements into technical solutions.
• Standardize data models at portfolio and domain levels to enforce governance frameworks.
• Optimize existing data models to enhance utilization in fraud, banking, and AML contexts.
• Provide consulting and training on data modeling tools, including administration and issue resolution.
• Collaborate on implementing automated monitoring solutions for model standardization.

Required Skills

• 10+ years of experience as a Data Modeler in large enterprise environments.
• Expertise in Enterprise Data Modelling across conceptual, logical, and physical levels.
• Hands-on experience with ERwin Data Modeler.
• Proficiency in Snowflake and Netezza database environments.
• Strong analytical skills to translate complex data requirements into technical models.
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• Proven ability to work with cross-functional teams and stakeholders.

Preferred Skills

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

Key Skills

Education

Any Gradutate