About the Position
We are looking for an AI Governance & Risk Analyst to support AI policy implementation, risk assessments, and governance activities across AI use cases. You will help define guardrails, support reviews, and improve oversight for AI systems and related vendors.
About the Project
This project supports the safe and practical adoption of AI capabilities within a logistics focused platform. You will help close governance gaps, guide risk tiering, and support controls for AI solutions throughout their lifecycle.
About the Team
You will work in a matrixed organization with stakeholders across governance, security, risk, and business teams. Collaboration is cross functional and focused on aligning policy, risk reviews, and practical implementation.
Responsibilities
- Turn AI policies into practical local standards
- Fill policy gaps for agents, non human identities, and Superblocks with lightweight guardrails
- Run AI use case intake and risk tiering
- Guide DPIAs and vendor reviews
- Set agent boundaries for read and write scopes and human in the loop controls
- Define RAG data access tiers
- Check audit logging and the impact of vendor model updates
- Support AI solution lifecycle and decommissioning activities
Requirements
- Experience with 2 to 4 years in IT risk, data governance, or information security compliance
- Experience working in a matrixed organization
- Understanding of GenAI basics
- Ability to work with stakeholders across multiple teams
Nice to Have
- Experience with UK or EU DPIAs
- Experience with GCP governance
- Experience in logistics environments