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 modelling 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 modelling 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.