My client is looking for an experienced and hands-on
AI Governance Lead
to develop and operationalize an internal framework for managing artificial intelligence systems. This newly created role is central to embedding responsible AI practices throughout the software development lifecycle, from data intake to model validation, in alignment with evolving European regulatory standards.
The successful candidate will act as a key connector between engineering, product, compliance, and data teams, enabling responsible AI development while maintaining momentum across delivery. The focus is on building practical, scalable governance processes that supports innovation .
This role suits someone who thrives in fast-moving environments, is confident working independently, and can demonstrate hands-on experience implementing governance frameworks, not just shaping strategy from a distance.
Key Responsibilities
AI Governance & Ethics
* Develop and evolve an internal AI governance framework aligned with European standards.
* Facilitate ethical and compliance workflows with a focus on usability and delivery.
* Coordinate governance efforts across departments to support business goals.
* Scale governance practices as AI adoption expands.
AI Deployment Oversight
* Partner with product and engineering teams to guide AI feature releases.
* Apply risk classification and assessment methodologies.
* Introduce clear checkpoints and frameworks to support compliant development.
* Align cross-functional efforts for timely and responsible AI rollouts.
Regulatory Engagement & Documentation
* Support leadership in interactions with oversight bodies.
* Collaborate with data protection and legal teams on AI-related requirements.
* Maintain thorough documentation and audit trails.
* Lead internal reviews focused on ethical and responsible AI use.
Operational Excellence
* Monitor and refine governance processes for efficiency.
* Coordinate activities across research, development, and deployment teams.
* Own reporting, metrics, and continuous improvement initiatives.
* Manage timelines, deliverables, and stakeholder communications.
Qualifications and Experience
* Proven experience in AI governance, risk, or compliance within a regulated sector (e.g. healthcare, finance, fintech).
* Strong understanding of European AI legislation, ethical frameworks, and bias mitigation.
* Familiarity with AI model development, data governance, and deployment practices.
* Hands-on approach with a track record of implementing governance processes directly.
* Exposure to software development lifecycle and cross-functional collaboration.
* Understanding of information security and data privacy principles.
* Ability to simplify complex requirements into practical, scalable processes.
* Excellent communication skills across technical and non-technical audiences.