• Develop comprehensive conceptual, logical, and physical data models for multiple domains within the organization, leveraging industry best practices and standards.
• Collaborate with business and functional teams to understand their data requirements and translate them into effective data models that support their strategic objectives.
• Serve as a subject matter expert in data modeling tools such as ERwin Data Modeler, providing guidance and support to other team members and stakeholders.
• Establish and maintain standardized data models across portfolios and domains, ensuring consistency, governance, and alignment with organizational objectives.
• Identify opportunities to optimize existing data models and enhance data utilization, particularly in critical areas such as fraud, banking, AML.
• Provide consulting services to internal groups on data modeling tool usage, administration, and issue resolution, promoting seamless data flow and application connections.
• Develop and deliver training content and support materials for data models, ensuring that stakeholders have the necessary resources to understand and utilize them effectively.
• Collaborate with the enterprise data modeling group to develop and implement a robust governance framework and metrics for model standardization, with a focus on long-term automated monitoring solutions.
Qualifications:
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• 10+ years of experience working as a Data Modeler or in a similar role, preferably within a large enterprise environment.
• Expertise in data modeling concepts and methodologies, with demonstrated proficiency in creating conceptual, logical, and physical data models.
• Hands-on experience with data modeling tools such as Erwin Data Modeler, as well as proficiency in database environments such as Snowflake and Netezza.
• Strong analytical and problem-solving skills, with the ability to understand complex data requirements and translate them into effective data models.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
