VP, Data & AI Engineering
Bay Area, CA, United States
R
USD 198K-282K (estimate) Executive-level Full Time
Tasks
- Define AI and data platform strategy
- Define operating model and KPIs for AI and data initiatives
- Design and implement modern data architecture
- Ensure data privacy and security standards
- Establish responsible AI standards and data governance
- Execute AI generative AI and machine learning roadmap
- Implement and scale MLOps model governance and reliability
- Improve scalability reliability and cost efficiency
- Integrate AI data and analytics with SaaS products
- Lead scalable enterprise data platform development
- Operate enterprise data platforms for analytics and AI
- Oversee model development, deployment, and lifecycle management
Perks/Benefits
Skills/Tech-stack
Analytics | Artificial Intelligence | Cloud Native | Data Architecture | Data Governance | Data Lakes | Data Warehouses | Data mesh | Distributed Computing | Enterprise Architecture | Generative AI | Lifecycle Management | MLOps | Machine Learning | Model Governance | Model Lifecycle | Model Lifecycle Management
Education
Roles
Data Engineering | Engineering | Vice President | Vice President - Machine Learning | Vice President Artificial Intelligence | Vice President Artificial Intelligence Engineering | Vice President Data | Vice President Enterprise Data | Vice President Enterprise Data Platforms Engineering | Vice President, Data Engineering | Vice President, Machine Learning Engineering
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