Senior Manager, Supply Chain Data Science & AI Operationalization
Tasks
- Build AI assisted agents and automated pipelines
- Consolidate and analyze structured and unstructured data
- Convert prototypes into governed production services
- Define KPIs and analytics for business actions
- Design data acquisition and database design
- Develop statistical and data mining models
- Embed generative AI and LLM methods into workflows
- Implement analytics using SQL and Python
- Lead and mentor a team of analysts
- Lead delivery against analytics roadmap and SLAs
- Manage data lineage monitoring and governance
- Manage model lifecycle and human in the loop controls
- Operationalize AI for supply chain analytics
- Track cycle time quality and business impact
Perks/Benefits
Skills/Tech-stack
Azure Machine Learning | Data Lineage | Data Mining | Databricks | Enterprise BI | Generative AI | Human-in-the-loop | Kubernetes | LLM | Lakehouse | MLOps | MLflow | Machine Learning | Model Evaluation | Model Governance | Monitoring | OpenShift | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Statistical Analysis | The Loop
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Manager | Scientist | Senior Manager
Regions
Countries
States
Cities
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