AI Applications
Automate data pipelines to feed into advanced machine learning models to improve stakeholder experience, including algorithm performance and monitoring model drift.
Data Analytics
Manage and support self-service analytics toolsets, design standards/strategic reports/dashboards with an eye towards usability
Data Repository Management
Manage backups, replication, and recovery, plan and manage repository lifecycle, including scaling & performance tuning
Data Quality & Governance
Manage standardization & enrichment tasks with the goal of unified metadata
Data Integration
ID and manage data sources, map needs with existing/prospective technology