Data Design: Responsible for enterprise-wide data design, balancing optimization of data access with batch loading and resource utilization factors.
Data Architecture: Designing and constructing data architectures, operational data stores, and data marts.
Project Control: Managing projects from start to finish to ensure high quality, innovative, and functional design.
Modeling and Design: Focusing on enterprise-wide data modeling and database design.
Standards and Policies: Defining data architecture standards, policies, and procedures.
Analysis and Optimization: Conducting business analysis, data acquisition, access analysis, and design. Optimizing Database Management Systems and designing recovery and load strategies.
Collaboration: Working with IT teams and management to devise a data strategy addressing industry requirements.
Data Inventory: Building an inventory of data needed to implement the architecture.
Technology Evaluation: Identifying and evaluating current data management technologies.
End-to-End Vision: Creating a fluid, end-to-end vision for how data flows through an organization.
Model Development: Developing data models for database structures and designing, documenting, constructing, and deploying database architectures and applications.