Data Analytics & Management, AVP
Tasks
- Analyze large complex datasets
- Build Agentic AI workflows
- Combine AI reasoning with deterministic logic
- Create finance prompt patterns and guardrails
- Design monitoring for AI quality over time
- Document and support solution rollout and adoption
- Ensure explainable auditable AI delivery
- Evaluate prompts to reduce hallucinations
- Generate variance explanations and root cause analysis
- Implement LLM copilots for finance narratives
- Operationalize AI outputs into finance workflows
- Orchestrate AI steps with rules logic
- Partner with finance risk and treasury teams
- Support forecasting and explainability
- Surface AI insights to end users
- Use anomaly detection and classification
- Validate AI outputs against business logic
Perks/Benefits
- Educational support
- Employee assistance program
- Employee networks
- Flexible work programs
- Insurance coverage
- Paid time off
- Paid volunteer days
- Retirement savings plan (401(k)
Skills/Tech-stack
Agentic AI | Alteryx | Anomaly Detection | Classification | Copilot Studio | Data Modeling | Data Visualization | Data Warehousing | Databricks | ETL | Explainability | Forecasting | Language Models | Language Processing | Large Language Models | Machine Learning | Microsoft 365 | Microsoft 365 Copilot | Microsoft Copilot | Microsoft Copilot Studio | Microsoft Fabric | Microsoft Power | Microsoft Power Apps | Microsoft Power Automate | Natural Language | Natural Language Processing | Power Apps | Power Automate | Power BI | Power Platform | Prompt engineering | Python | RPA | SQL | Tableau
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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