Data Analytics & Management, VP
Tasks
- Analyze large datasets to identify drivers trends and signals
- Apply analytics and data science for anomaly detection and forecasting support
- Combine AI reasoning with deterministic logic and governance controls
- Create finance grade prompt standards and evaluation approaches
- Deliver AI solutions using no code and low code platforms
- Design and deliver LLM copilot solutions for finance narratives and analysis
- Embed solutions into finance workflows with planning rollout and adoption
- Ensure regulatory alignment and data governance for critical data
- Ensure solutions are explainable auditable and aligned with responsible AI controls
- Implement monitoring KPI dashboards and continuous improvement
- Lead cross functional delivery teams for agent based workflows
- Operationalize AI outputs into finance workflows
- Orchestrate AI steps with rules based logic
- Validate AI outputs against financial data and business logic
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
Anomaly Detection | Artificial Intelligence | Classification | Cross-functional | Cross-functional leadership | Data Governance | Data Modeling | Data Visualization | Data Warehousing | ETL | Explainable AI | Forecasting | Functional leadership | KPI Dashboards | Language Models | Language Processing | Large Language Models | Low Code | Machine Learning | Monitoring | Natural Language | Natural Language Processing | No Code | Prompt engineering | Python | Responsible AI | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Data Science | Data Science Manager | Engineer | Manager
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