Director, Enterprise Data and AI Architecture
St Louis Park, MN, US, United States
USD 172K-257K Senior-level Full Time
Tasks
- Architect analytics and semantic layer
- Conduct workshops and architecture reviews
- Create data integration pipeline standards
- Define AI and machine learning architecture
- Define enterprise data and AI architecture
- Design Generative AI patterns
- Develop multi year data and AI roadmap
- Ensure responsible AI controls
- Establish architecture standards and governance
- Evaluate vendor technology and roadmaps
- Implement Master Data Management solutions
- Lead and coach technical team
- Lead data projects delivery
- Lead end to end data solution architecture
- Lead enterprise reference architecture
- Manage M and A data integration
Perks/Benefits
- N/A
Skills/Tech-stack
AI Risk Management Framework | Agentic Workflows | Artificial Intelligence | Batch Processing | DBT | Data Architecture | Data Governance | Data Management | Data Security | Data integration | ELT | ETL | Feature Engineering | Generative AI | Informatica | Machine Learning | Management Framework | Master Data | Master Data Management | Matillion | NIST AI | NIST AI Risk | NIST AI Risk Management | NIST AI Risk Management Framework | Regulatory Compliance | Responsible AI | Retrieval-Augmented Generation | Risk Management Framework | Semantic layer | Snowflake | Streaming | Vector Databases
Education
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