Key Responsibilities
1. Enterprise Information Architecture
• Define conceptual and logical data models for common business entities.
• Establish canonical models and enterprise information standards.
• Define relationships between enterprise and domain-specific data assets.
• Design enterprise information architecture that incorporates data classification, privacy, security, and regulatory requirements by design.
2. Modernization Programs
• Partner with workflow modernization teams (product and engineering) to embed reusable data products into solution designs.
• Analyze legacy systems and identify information assets suitable for enterprise reuse.
• Prevent duplication of data structures across applications and agencies.
• Support data migration strategies and target-state architecture.
3. Data Product Architecture
• Identify and support design of reusable data products
• Define schemas, interfaces, metadata and quality requirements
• Establish product boundaries, stewardship and ownership models.
4. Data Governance and Metadata
• Establish data architecture principles, data standards, best practices, and guidelines including data catalog, data lineage, observability, security and interoperability
• Define business definitions and data quality expectations.
5. Platform and Technology Collaboration
• Work with engineering and platform teams to translate business concepts into technical designs.
• Partner with cloud, integration and data teams to implement enterprise data products.
• Promote API-first and product-based approaches to information sharing.
6. AI Enablement
• Ensure enterprise data products are discoverable, governed and suitable for future AI use cases.
• Support semantic layers, knowledge graphs and natural language access to enterprise information.