Senior Manager ( Lead Data Scientist) Agentic Ai

Cobbenefitfair

Australia
**
Agentic and multi-agentic ai systems
Generative ai frameworks
Ai initiatives and strategies
** The Senior Manager (Lead Data Scientist) position at Cobbenefitfair involves leading AI initiatives and strategies in the Business Bank's Customer, Channels & Data AI Centre of Excellence. The ideal candidate should possess extensive experience in AI systems, excellent leadership qualities, and a passion for driving organizational change in a customer-obsessed environment. **

Job Summary

  • You will be the driving force that will help build the AI capability across the whole group and work through various levels across the businesses to embed the knowledge required to deliver on our business and customer outcomes.
  • Our team has a unique role to enable the Business Bank’s vision of becoming Australia’s #1 Commercial Bank, by achieving a key focus in delivering AI solutions through to its Channels, Customer and Data.
  • We support our people with the flexibility to balance where work is done with at least half your time each month connecting in office.

Matching Summary

Match Score: 75

** The Senior Manager (Lead Data Scientist) position at Cobbenefitfair involves leading AI initiatives and strategies in the Business Bank's Customer, Channels & Data AI Centre of Excellence. The ideal candidate should possess extensive experience in AI systems, excellent leadership qualities, and a passion for driving organizational change in a customer-obsessed environment. **

Skills & Requirements

Must-have

  • Agentic and multi-agentic AI systems
  • Generative AI frameworks
  • AI initiatives and strategies
  • Data science and decision science
  • Stakeholder management skills

Nice-to-have

  • Customer-obsessed application of AI
  • Growth-orientated culture
  • Ethical approach to AI
  • Business Banking domain interest

Key Requirements

  • Experience in designing, developing, and implementing agentic and multi-agentic AI systems
  • Applied experience in multi-agentic Generative AI frameworks
  • Experience in statistical control and performance estimation theory
  • Experience in leading transformational experiences and high-performing teams
  • Solid understanding of model risk management and compliance

Work Rights

Not specified

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