Business Analyst & Project Manager with a focus on AI Governance – Compliance Analytics & Transformation 100% (f/m/d)

Job description

Key Responsibilities:

• Support in the design and implementation of company-wide AI governance frameworks, including technical guidelines, standards, control mechanisms, and best practices that are aligned with international guidelines (e.g., NIST AI RMF, EU AI Act)
• Monitoring developments in global AI regulation and standards, interpreting legal and compliance requirements into operational and technical requirements
• Collaborate with internal technical stakeholders, including data scientists, ML engineers, product managers, and IT security teams, to integrate governance checks into development processes and workflows.
• Developing and conducting practical training sessions and workshops to raise awareness of responsible AI use, both for technical teams and business units
• Implementation of monitoring and testing functions to ensure ongoing compliance with internal policies and external regulatory expectations
• Translating complex AI governance concepts into accessible messages for non-technical audiences, while maintaining a high level of technical expertise when working with developers and data teams.

Your Profile:

• University degree in computer science, data science, information technology, industrial engineering, finance, law, or a related field
• Up to 8 years of professional experience, ideally in the banking or financial sector, with proven experience in compliance, operational risk, legal, or technology governance
• Solid technical foundation in AI/ML and architecture concepts: familiarity with supervised/unsupervised learning, model evaluation, feature engineering, and MLOps principles
• Practical experience or deep conceptual understanding of AI project lifecycles
• Proven ability to analyze and solve problems, capable of identifying systematic risks and proposing scalable technical and procedural measures to mitigate risk
• Knowledge of key AI regulatory landscapes, including the EU AI Act and emerging Swiss and global standards
• Understanding of data governance, privacy-by-design, and model risk management principles; previous involvement in AI pilot projects or model reviews is an advantage
• Experience with or exposure to responsible AI toolkits