• Designing enterprise information architecture under limited direction to store, move, transform, deliver, integrate, and manage data. • Contributing to the growth of the Data Architecture practice by identifying common patterns and developing frameworks for all data management disciplines. • Executing the data strategy and vision in alignment with business goals by utilizing the modeling standards, guidelines, best practices, and approved modeling techniques. • Modeling the future state of the data architecture and provides best practices and guidelines. • Reviewing proposed data models in packaged or commercial applications for business applicability. • Contributing significantly to data integration, business intelligence (BI), and enterprise information management programs. • Establishing metrics to track and measure the value of data architecture initiatives (e.g., model reuse, project cost impact, data consistency improvements). • Identifying significant data assets based on business impact, decision impact, risk mitigation, or organizational relevance. • Ensuring critical information assets are represented in the enterprise information architecture (EIA) and comply with its design guidelines.