Head of Data Analytics, Automation, AI & Continuous Auditing (DAACA)
Tasks
- Align ai usage with enterprise ai data governance and model risk frameworks
- Build and lead multidisciplinary analytics automation and visualization team
- Define analytics automation ai and continuous auditing strategy
- Define career paths skill frameworks and training programs
- Drive auditor upskilling on ai enabled auditing
- Embed analytics and automation into audit lifecycle
- Ensure data engineering data quality and documentation standards
- Establish ai governance and controls framework
- Evaluate and optimize tooling ecosystem
- Execute multi year roadmap for audit transformation
- Expand continuous assurance and ongoing risk coverage
- Identify and prioritize analytics automation and ai use cases
- Implement product operating model for delivery
- Lead responsible ai and genai adoption in internal audit
- Oversee development and delivery of governed analytics solutions
- Partner with enterprise teams to leverage data assets platforms and capabilities
- Serve as interface between internal audit and technology data and ai functions
- Standardize reusable analytics and control libraries
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | Agile | Alteryx | Artificial Intelligence | Automation | Continuous Auditing | Control Frameworks | Data Engineering | Data Governance | Data Modeling | Data Quality | Data Visualization | Data analytics | GenAI | Machine Learning | Model Risk Management | Model risk | Power Automate | Power BI | Power Query | Product Management | Python | Risk Management | SQL | Tableau
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