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.
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.