AI Risk Manager
Own the end-to-end risk lifecycle for an artificial intelligence tribe, turning complex technical and regulatory observations into executable mitigation plans. You will bridge risk, security, architecture, delivery, and business teams to keep ambitious AI initiatives safe, compliant, and sustainable.
CONTEXT
Our client, a major player in its sector, is building an ambitious artificial intelligence tribe where innovation moves quickly and risk cannot be an afterthought. The organisation needs a translator who can turn fragmented risk observations into clear, prioritised, and executable plans across technology, operations, regulatory, and AI-specific domains.
ACTIVITIES
- Analyse risk findings and consolidate them into remediation streams that teams can actually execute.
- Define mitigation actions, coordinate execution, and monitor progress across Risk Management, Information Security, Architecture, Delivery Management, and Business stakeholders.
- Own the end-to-end lifecycle of risks, from assessment and prioritisation to reduction initiatives, reviews, reporting, audits, and compliance.
- Prepare management reports and maintain consolidated views of the risk posture for leadership and governance forums.
- Contribute to a sustainable risk management culture inside an agile organisation, translating complex statements into concrete operating actions.
EXPECTED ACHIEVEMENTS
- Transform scattered risk observations into a governed, transparent, and measurable remediation portfolio.
- Reduce critical technology, operational, regulatory, and AI-related exposures while preserving delivery speed.
- Establish repeatable target operating models and reporting routines that make risk ownership clear and sustainable.
- Give executives confidence that AI initiatives are safe, compliant, resilient, and aligned with strategic ambition.
ENVIRONMENT
Agile delivery, risk management frameworks, information security practices, architecture governance, regulatory compliance, AI governance, Jira, Confluence, reporting dashboards, stakeholder facilitation, and operating-model design.