3 Ai Act Jobs

Key Responsibilities: Administer document and record control systems, ensuring version control, traceability, timely reviews, and overall compliance. Perform and document software tool validations and revalidations, ensuring alignment with relevant standards. Support supplier selection and ongoing monitoring, including maintaining relevant documentation and ensuring supplier compliance. Monitor regulatory developments (e.g. AI Act, GDPR), assess gaps, and implement required changes in the QMS. Draft, revise, and maintain procedures and work instructions based on regulatory or process changes. Prepare input for periodic management reviews, including KPIs, audit outcomes, and improvement actions. Support internal audits and coordinate evidence collection and follow-up actions. Proactively identify and drive opportunities for quality improvement or operational efficiency. Qualifications: 3+ years of hands-on experience in a quality or compliance role within a regulated industry (medical devices, pharma, health tech, etc.). Strong working knowledge of at least one management system (e.g. ISO 13485, ISO 27001, or ISO 9001). Excellent English communication skills (written and verbal); all documentation and communication is in English. Experience with documentation systems, change management, and audit readiness. Comfortable working independently and taking initiative in a remote setup. Nice-to-Have Certifications (not required): ISO Lead Auditor (9001 / 13485 / 27001) Regulatory Affairs Certification (RAC) or similar Computer System Validation (CSV) training Key Competencies: Excellent written and verbal English communicates clearly and professionally with international clients, both in documentation and direct interactions. Strong ownership mindset – proactively identifies tasks, follows through independently, and flags issues without needing micromanagement. Regulatory awareness and adaptability – keeps up with evolving standards (e.g., ISO updates, AI Act, MDR/IVDR) and translates them into practical system improvements. Clear and concise technical writing – able to draft and revise SOPs, validation reports, and audit evidence to meet compliance requirements. Process improvement orientation – continuously looks for ways to streamline or strengthen compliance workflows. Effective remote collaboration – comfortable in asynchronous, cross-border work environments and knows when to escalate or ask for input. Hands-on tool proficiency – experienced with document control systems (EDMS), QMS platforms, and validation or audit tracking tools.

About the role: As a Senior Data Risk Manager , you will play a central role in shaping how Swiss Re identifies, assesses, and governs operational risks linked to data. Sitting in the 2nd Line of Defence, you will provide independent oversight, advise on control effectiveness, and challenge risk-taking decisions related to data use, storage, quality, lineage, and security. You'll also have the opportunity to influence our approach to data-related risks in AI and emerging technologies, helping shape governance practices that extend across a global enterprise. Key Responsibilities: Design and enhance Swiss Re's Data Risk Control Framework by identifying and embedding key controls across the data lifecycle. Challenge and advise 1st Line teams on risk identification, assessment, and control adequacy related to data management and digital processes. Lead risk reviews and thematic assessments across digital services, systems, or strategic technology projects to surface and address data management risks. Monitor implementation of data risk controls across business units and functions, gathering feedback to support continuous improvement. Establish risk reporting and monitoring standards for data management risks at Group level, providing clear risk insights to senior stakeholders. Assess AI-related data risks , ensuring alignment with applicable internal governance and external regulatory frameworks. Engage regularly with senior stakeholders , promoting a strong risk culture and influencing data governance behaviour across the organisation. About the team: The Digital & Technology Risk Management (DTRM) team acts as the 2nd Line of Defence for all digital and technology-related risks at Swiss Re. We provide independent oversight, challenge, and insight across Swiss Re's global digital landscape. Serving as an independent partner to the business, we help shape the Group's risk posture across various technology domains, ranging from infrastructure and application security to digital innovation and AI. Our commitment lies in driving high standards of resilience, informed risk-taking, and sound control practices through strong engagement and credible challenge. From reviewing control frameworks to assessing emerging risks, we help shape responsible innovation and build resilience into every layer of our technology environment. About you: We are looking for a confident and forward-thinking risk professional with a deep understanding of data governance and its associated risks. Experience & Capabilities Minimum 7 years of experience in operational risk, digital/technology risk, or data governance roles-preferably within financial services, reinsurance, or consulting. Familiarity with data lifecycle and records management frameworks (e.g., DAMA-DMBOK) and their practical application across large organisations. Proven experience conducting risk assessments, spot checks , and thematic reviews in a complex, regulated environment. Technical & Tooling Familiarity with data quality assurance techniques , metadata management, and lineage tracking. Proficient in using data governance platforms (e.g., Collibra , Palantir Foundry ) and supporting tools to analyse or visualise data flows and risks. Strong understanding of AI/ML data governance risks and regulatory developments (e.g., GDPR, AI Act, data ethics frameworks). Behavioural & Interpersonal Comfortable working independently , including collaboration with managers or stakeholders in different time zones. Strong stakeholder engagement and communication skills with the ability to influence and challenge at all levels. Demonstrated ability to balance business enablement with effective risk management . Certifications (Desirable) Certified Data Management Professional (CDMP) Certified in Risk and Information Systems Control (CRISC) Other data or risk-related qualifications are a plus Keywords: Reference Code: 134393

12+ years in fintech, led multiple enterprise banking application deployments Expertise in Java, Spring Boot, REST APIs, PostgreSQL, OAuth2, CI/CD Experience in AI strategy, ethics, and compliance