Executive Director, Data and AI Delivery
Tasks
- Apply MLOps practices
- Architect cloud native data products
- Build governed reusable data product patterns
- Communicate analytics insights and delivery trade offs
- Create analytics roadmaps and delivery plans
- Define analytics product KPIs and adoption metrics
- Design AI agents for decision support
- Develop AI and agentic AI solutions
- Develop and deploy machine learning workflows
- Embed responsible AI principles
- Ensure data governance and data quality
- Ensure model risk and AI compliance
- Implement infrastructure-as-code and CI/CD pipelines
- Lead analytics delivery and product execution
- Lead and mentor analytics and delivery teams
- Manage delivery cadence with Agile
- Partner with business and market stakeholders
Perks/Benefits
- N/A
Skills/Tech-stack
AI Services | Agent systems | Agentic AI | Agile | Alteryx | Azure | Azure AI | Azure AI Services | CI/CD | Collibra | Data Factory | Data Governance | Data Quality | Databricks | Delta Lake | DevOps | Feature Store | GenAI | Infrastructure as Code | Langchain | MLOps | MLflow | Machine Learning | Metadata Management | Multi-Agent | Multi-Agent Systems | Power BI | RAG | Retrieval-Augmented Generation | Risk Management | Synapse Analytics | Unity Catalog | “as-code”
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