Chapter Lead Customer Channels And Data (ccd) Non-financial Risk
Cobbenefitfair
Australia
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End-to-end non-financial risk management
Technology risk and data governance
Ai and advanced analytics risk
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The Chapter Lead Customer Channels and Data (CCD) - Non-Financial Risk position at Cobbenefitfair involves leading risk management efforts in a complex, technology-driven environment. This role requires extensive experience in non-financial risk management, particularly in relation to technology, data, and AI, while promoting a strong risk culture within the organization.
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Job Summary
As Chapter Lead Customer Channels and Data (CCD) – Non‑Financial Risk, you will play a pivotal role in fostering a proactive risk and control culture while enabling CCD to deliver innovative, technology‑led outcomes safely and within risk appetite.
You are accountable for end‑to‑end non‑financial risk management across customer and banker channels, data and analytics, AI and models, technology platforms, and supplier environments.
You’ll be empowered to lead, influence and make a real difference at scale—particularly as the business continues to build an AI‑enabled, data‑driven operating environment.
Matching Summary
Match Score: 75
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The Chapter Lead Customer Channels and Data (CCD) - Non-Financial Risk position at Cobbenefitfair involves leading risk management efforts in a complex, technology-driven environment. This role requires extensive experience in non-financial risk management, particularly in relation to technology, data, and AI, while promoting a strong risk culture within the organization.
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Skills & Requirements
Must-have
End-to-end non-financial risk management
Technology risk and data governance
AI and advanced analytics risk
Model risk and third-party risk
Risk and change management frameworks
Embedding human-in-the-loop controls
Nice-to-have
Growth mindset and sound judgement
Challenging constructively in fast-moving environments
Inspiring a strong risk and control culture
Key Requirements
Extensive experience in end-to-end non-financial risk management
Deep expertise across technology, data, AI, model, operational, and third-party risk
Strong understanding of data, analytics, and model governance
Proven experience applying risk and change frameworks