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data analytics incident management automation ai/ml agent-based modelingπ Description
- Lead agentic analytics transformation; deploy intelligent agents to detect and mitigate risk.
- Build scenario simulators to model risk and test policy before launch.
- Automate incident impact scoping with agent workflows for rapid escalation.
- Democratize agentic insights via self-service analytics.
- Accelerate multidisciplinary response; hybrid in-person 1-2x/wk; US travel.
- Benchmark and elevate standards; track regulatory shifts for risk leadership.
π― Requirements
- 8+ years leading major analytics or data science initiatives.
- Agentic systems builder: automation and intelligent agents.
- Incident & scenario expert: incident scoping and scenario planning.
- Cross-functional facilitator: enable self-service tools across teams.
- Storyteller & evangelist: translate analytics for diverse audiences.
- Relentless innovator: advance safe, inspiring tech with AI.
- Bachelor's degree in Economics, Mathematics, Engineering, or related field.
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