VP, Data & Analytics
New York, New York, United States
USD 175K-214K (estimate) Executive-level Full Time
Tasks
- Architect and govern MCP interoperability
- Build ELT/ETL pipelines
- Build cloud data platforms
- Build intelligent search with vector databases
- Build knowledge management capabilities
- Communicate technology strategy to executives
- Create AI governance frameworks
- Define KPIs and measurement frameworks
- Define enterprise data strategy
- Deploy enterprise RAG platforms
- Design batch and real-time data pipelines
- Develop AI agents
- Develop executive dashboards
- Develop internal AI copilots
- Drive intelligent automation initiatives
- Enable experimentation predictive analytics forecasting
- Enhance self-service analytics
- Establish data models and governance
- Evaluate and deploy emerging AI technologies
- Execute enterprise data roadmap
- Implement LLMOps and AI engineering practices
- Implement data quality frameworks
- Lead data engineering and analytics teams
- Lead enterprise AI strategy
- Partner with product engineering and compliance
- Recruit mentor and develop analytics and AI teams
Perks/Benefits
- Flexible PTO
- Health care plan
- Life insurance
- Paid Holidays
- Retirement plan
- Short-term disability
- Training and development
Skills/Tech-stack
AI Agents | APIs | AWS | Analytics engineering | Azure | BigQuery | Business Intelligence | CI/CD | Data Engineering | Data Governance | Data Quality | Databricks | Distributed Systems | ELT | ETL | Embeddings | Google Cloud | Governance | HIPAA | LLM orchestration | LLMOps | MLOps | Machine Learning | Metadata Management | Model Evaluation | Monitoring | Observability | Phi | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Snowflake | Vector Databases
Education
N/A
Regions
Countries
States
Cities
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