Overview
As AI Governance Manager, you will operate and enhance AI governance within Data Science, partnering with data scientists, model owners, and stakeholders to support model approvals, inventory management, and regulatory compliance. You will shape a scalable governance framework that enables responsible AI innovation while maintaining risk controls. You’ll own day-to-day approval processes, track portfolio health, and drive continuous improvement of governance products and policies. This role combines operational delivery with evolving framework design to support impactful scientific and healthcare outcomes. You will work in a collaborative, risk-aware environment that values clear stakeholder
Pay / Benefits
- healthy work-life balance
- wellbeing initiatives
- shared parental leave
- study assistance
- sabbaticals
Responsibilities
- Own and run day-to-day AI/model approval and review processes with timely turnaround
- Maintain the model inventory as the authoritative record of models in development and production
- Serve as the primary day-to-day contact for AI software requesters, data scientists and model owners navigating governance requirements
- Track and report on the health of the model portfolio, 3rd party AI software, and approval process effectiveness
- Manage and continuously improve governance products supporting approvals and inventory management
- Identify opportunities for automation, self-service capabilities, and process improvement
- Support the evolution of governance policies, standards, and risk assessment methodologies
- Maintain audit-ready documentation and support compliance, audit, and risk management activities
Key requirements
- Data science background with hands-on ML experience (training, validation, deployment)
- Experience or strong interest in AI/model governance, model risk management, or related risk/compliance
- Strong organizational skills and experience owning end-to-end operational processes
- Practical understanding of AI/data regulation and standards
- Continuous-improvement mindset
- Strong communication skills to explain governance to technical/non-technical stakeholders
- Ability to work independently on operational delivery and contribute to framework design
- Prior experience with model inventory, MLOps, or model risk management tooling and governance policy development
- Clear and effective communication
- Independent and proactive working style
- Cross-functional collaboration
- Model inventory
- MLOps
- Model risk management tooling
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