The Data Integration & AI Architect plays a crucial role in designing and managing data ecosystems (platforms) that support AI-driven decision-making.
Key Performance Areas :
- Data Flow Optimization – Ensuring seamless data movement across platforms to enhance accessibility.
- Reducing Data Silos – Integrating disparate data sources to create a unified and consistent data environment.
- AI Infrastructure Design – Building scalable architectures that support AI models and machine learning applications.
- Data Governance & Security – Implementing policies to ensure data integrity, compliance, and protection.
- Decision-Making Enhancement – Leveraging integrated data insights to improve business intelligence and strategic planning
Key Performance Indicators :
Measuring the speed and reliability of data extraction, transformation, and loadingEnsuring high availability of integrated data platforms.Evaluating the effectiveness of AI predictionsAssessing improvements in automation and workflow optimizationTracking the accuracy of AI-driven forecasts.