Data Analytics & Management, VP
Tasks
- Analyze large complex datasets to identify drivers trends and actionable signals
- Apply analytics and data science methods to improve finance efficiency and controls
- Combine AI reasoning with deterministic logic for reliable controlled outputs
- Ensure solutions are explainable auditable and aligned with governance
- Establish reusable prompt patterns evaluation and guardrails
- Lead cross functional delivery teams design and deliver agent based workflows
- Lead no code and low code delivery for operationalizing AI outputs
- Lead project planning and execution for scope timeline dependencies and risks
- Orchestrate AI steps alongside rules based logic
- Own LLM copilot solution strategy for finance narratives and analysis
- Partner with finance risk and treasury to design end to end solutions
- Set finance grade prompt engineering and context design standards
- Surface AI generated insights exceptions and narratives to end users
- Validate AI outputs against financial data and business logic implement monitoring dashboards and continuous improvement
Perks/Benefits
- N/A
Skills/Tech-stack
Copilot Studio | Data Governance | Data Modeling | Data Quality | Data Science | Data Visualization | Data Warehousing | Databricks | ETL | Language Models | Language Processing | Large Language Models | Low Code | Machine Learning | Microsoft Fabric | Microsoft Power | Microsoft Power Apps | Microsoft Power Automate | Microsoft Power Platform | Natural Language | Natural Language Processing | No Code | Power Apps | Power Automate | Power BI | Power Platform | Prompt engineering | Python | RPA | SQL | Tableau
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
Regions
Countries
States
Cities
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