Data Analytics & Management, VP
Tasks
- Analyze large complex datasets
- Apply anomaly detection and classification
- Combine AI reasoning with deterministic logic
- Create finance grade prompt patterns
- Define quality controls and KPI monitoring
- Design and deliver agent based workflows
- Develop LLM copilot solutions
- Drive continuous improvement
- Implement monitoring dashboards and governance reporting
- Lead cross-functional delivery teams
- Operationalize AI outputs into finance workflows
- Orchestrate AI steps with rules based logic
- Partner with finance risk and treasury teams
- Plan and execute projects
- Report status risk and outcomes to senior management
- Set context and output standards for auditability
- Support forecasting and explainability
- Support rollout and adoption with training
- Validate AI outputs against financial data
Perks/Benefits
- 401k match
- Educational support
- Employee assistance program
- Employee networks
- Flexible work programs
- Insurance coverage
- Paid time off
- Paid volunteer days
Skills/Tech-stack
Agentic AI | Anomaly Detection | Artificial Intelligence | Classification | Code Development | Data Governance | Data Modeling | Data Quality | Data Science | Data Visualization | Data Warehousing | Deterministic logic | ETL | Explainable AI | Forecasting | LLM Copilot | Language Models | Large Language Models | Low Code | Low code development | Machine Learning | No Code | No Code Development | Power BI | Process Automation | Prompt engineering | Python | RPA | Regulatory Compliance | SQL | Tableau | Workflow automation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
Regions
Countries
States
Cities
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