Sr Data Architect
Charlotte, United States
USD 138K-202K (estimate) Senior-level Full Time Found 5d ago
Tasks
- Architect model lifecycle controls
- Assess AI control maturity
- Communicate technical strategies effectively
- Design AI controls framework
- Design data solutions for complex initiatives
- Develop assessment criteria for AI guardrails
- Develop monitoring frameworks
- Educate data teams on architecture principles
- Embed responsible AI principles
- Ensure compliance with policies
- Establish AI/ML control patterns
- Evaluate AI tools and platforms
- Facilitate architectural discussions
- Influence senior leadership on AI governance
- Lead AI control readiness evaluations
- Manage relationships with stakeholders
- Review architecture designs
- Serve as enterprise AI controls expert
- Support data management policies
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | AI controls | AI ethics | AI infrastructure | Access Control | Auditing | Azure Data | Azure Data Lake | Bias detection | Cloud Platforms | Collaboration | Compliance Standards | Data Architecture | Data Lake | Data Lineage | Data Management | Data Privacy | Data Security | Databricks | GenAI | Influence | LLM orchestration | Leadership | MLOps | Metadata Management | Model Explainability | Model Lifecycle | Model Monitoring | Model risk | Model risk governance | Prompt management | Python | Regulatory Compliance | Risk Management | Risk governance | SQL | Security | Snowflake | Spark | Stakeholder Communication | Synapse | Vector Databases | Vendor Evaluation
Education
Roles
Regions
Countries
States
Language: en |
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