Senior Vice President, Data Management & Quantitative Analysis Manager
Tasks
- Align with AI governance and model risk management
- Champion data quality automated testing and secure design
- Conduct post-implementation reviews and continuous improvement
- Coordinate cross functional squads for AI delivery
- Define and track KPIs and OKRs
- Develop AI ML use case portfolio
- Drive AI innovation strategy and roadmap
- Embed responsible AI principles
- Ensure model monitoring drift detection and retraining
- Implement MLOps for reliability and scale
- Integrate AI models into production workflows
- Lead production grade AI solution design build test deploy
- Maintain reusable AI standards and assets
- Prioritize AI use cases by value and feasibility
- Support change management, training, and adoption
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Anomaly Detection | Auditability | B testing | By Design | CI/CD | Cloud Computing | Containerization | Data Engineering | Decision Intelligence | Docker | Drift Detection | Experiment design | Experimentation | Explainability | Fairness | Generative AI | Graph analytics | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Drift | Model Drift Detection | Model Governance | Model Monitoring | Model Validation | NLP | Natural Language | Natural Language Processing | Offline evaluation | Online evaluation | Orchestration | Privacy by Design | Prompt engineering | Python | Red Teaming | Responsible AI | Retraining Pipelines | Series analysis | Time Series | Time Series Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Innovation | AI Innovation Lead | Data Science | Data Science Manager | Innovation Lead | Lead | Manager | President | Senior Vice President | Vice President
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