Legal Specialist in Digital Law/Intelligence (m/f/d)

Experteer Overview

You’ll implement appropriate mitigations and regulatory compliance measures, shaping responsible AI governance. This position offers the opportunity to influence AI regulation alignment and drive lawful, ethical deployment.

• Provide strategic legal vision ensuring legality, ethics, transparency, explicability and non-discrimination in AI projects and data spaces
• Build robust technical understanding of AI and data solutions in the portfolio
• Enable cross-cutting communication to identify and assess legal risks
• Implement mitigation and regulatory compliance measures for AI initiatives

• Degree in Law
• Master or postgraduate degree in Digital Law, ICT or AI Law
• 2-3 years experience in data protection and public sector AI projects
• Experience collaborating with multidisciplinary teams
• Mastery of the GDPR, LOPDGDD and ENS
• Experience in Data Protection Impact Assessments (EIPD)
• Ability to implement privacy by design and by default in AI systems
• Updated knowledge of EU AI Regulation and emerging national regulations
• Experience identifying risk levels and legal obligations for AI systems
• Knowledge of Article 22 GDPR (automated decisions) in health contexts
• Ability to interpret obligations of high-risk AI under AI Regulation
• Experience in contracting technology services including IP, security, interoperability and ethical data use
• Knowledge of ICT national and European legislation
• Understanding of intellectual property and software licensing
• Knowledge of rights to content on ICT platforms, servers and clouds
• Experience in regulatory compliance and ethics
• Ability to design and implement compliance and algorithmic governance policies
• Knowledge of integrating ethical principles in AI design, development and use
• Alignment with EU ethical frameworks
• Ability to assess explicability of AI models and ensure traceability and human supervision
• Legal review skills for identifying biases in data and models
• Knowledge of non-discrimination principles and algorithmic justice
• Legal oversight of training data, methodologies and model validation

•