Senior Director, Data Science and AI - Enterprise
USD 204K-240K Senior-level Full Time
Tasks
- Build enterprise AI roadmap
- Collaborate with product and technology leadership for AI integration
- Define career paths and performance frameworks
- Define model registry management
- Develop Agentic AI systems
- Enforce model versioning experiment tracking and reproducibility
- Execute AI governance framework
- Execute AI strategy
- Foster experimentation and proof of concept sprints
- Identify high-value AI use cases
- Implement CI CD pipelines for model training and deployment
- Implement model monitoring for drift and bias
- Lead AI model architecture development and deployment
- Lead AI risk assessments
- Manage cloud AI ML platform costs
- Manage model development standards
- Manage model risk management fairness explainability privacy and security
- Mature MLOps and LLMOps capabilities
- Partner with data engineering for training and inference pipelines
- Perform data privacy risk assessment and vendor due diligence
- Recruit develop and retain AI team
- Track KPIs and OKRs for data science and AI
Perks/Benefits
- Dental insurance
- Disability insurance
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Retirement savings plan
- Unpaid time off
- Vision insurance
Skills/Tech-stack
AI roadmap | Agent Orchestration | Agentic AI | Bias detection | CI/CD | Concept drift | Data Drift | Data Preprocessing | Enterprise AI | Enterprise AI Roadmap | Experiment tracking | Explainability | Fairness | Feature Engineering | Generative AI | Hyperparameter Tuning | KPI | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Governance | Model Monitoring | Model Registry | Model Risk Management | Model risk | Model versioning | Multi-Agent | Multi-agent orchestration | OKR | Privacy | Prompt engineering | Reproducibility | Risk Management | Security
Education
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