Data Analytics & Management, VP
Tasks
- Align solutions with regulatory governance and controls
- Analyze large complex datasets for actionable signals
- Apply anomaly detection and forecasting support
- Build reusable prompt patterns and guardrails
- Combine AI reasoning with deterministic logic
- Create finance grade prompts and context
- Define LLM copilot solution strategy
- Design and deliver agent based workflows
- Drive rollout documentation and training
- Ensure explainable and auditable AI delivery
- Implement monitoring KPI dashboards and continuous improvement
- Lead cross-functional delivery teams
- Operationalize AI outputs into finance workflows
- Orchestrate no code and low code AI workflows
- Partner with finance risk and treasury teams for end to end design
- Plan and execute projects with scope timeline and risk management
- Validate AI outputs against financial data
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
- Vibrant employee networks
Skills/Tech-stack
Alteryx | Anomaly Detection | Code Automation | Code Development | Copilot Studio | Data Governance | Data Modeling | Data Science | Data Warehousing | Databricks | ETL | ETL Design | Explainable AI | Forecasting | LLM | Low Code | Low code development | Microsoft 365 | Microsoft 365 Copilot | Microsoft Copilot | Microsoft Copilot Studio | Microsoft Fabric | Microsoft Power | Microsoft Power Apps | Microsoft Power Automate | No Code | No-code automation | Power Apps | Power Automate | Power BI | Prompt engineering | Python | Responsible AI | 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
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