Head of AI Governance

This is a fully remote position, open to applicants in Ireland.

📋 Description

• Oversee the development and ongoing enhancement of a comprehensive AI Governance Framework that aligns with Dotmatics' risk appetite, the EU AI Act, ISO 42001, and NIST AI RMF.

• Maintain a registry of AI use cases, establish risk tiers and oversight levels, and assess AI tools, models, and applications.

• Evaluate AI use cases concerning model behavior, data usage, privacy, and operational risk.

• Ensure compliance with ISO/IEC 27001 ISMS, ISO 9001 QMS, and GxP requirements.

• Lead the Dotmatics AI Governance Council and prepare materials for decision-making for the Council and executive review.

• Collaborate with the Siemens AI Governance Consortium and contribute to shared frameworks and maturity models.

• Provide AI governance responses to customer RFIs, security questionnaires, and due diligence requests.

• Integrate governance checkpoints into the Software Development Life Cycle (SDLC) with Product and Engineering teams.

• Align AI controls with the organization's security posture and incident response protocols.

• Develop and maintain AI governance policies, standard operating procedures (SOPs), and supporting documentation.

• Create and deliver AI governance training across the organization.

• Generate management reports, metrics, and dashboards reflecting program status, risk exposure, and control effectiveness.

• Foster continuous improvement informed by lessons learned, evolving standards, and regulatory changes.

⛳️ Requirements

• Bachelor's degree in Computer Science, Information Systems, Risk Management, Engineering, Business, or a related field (or equivalent experience).

• 15–20 years of experience in information security, technology risk management, data governance, or compliance within a regulated industry.

• 5–8 years of progressive experience specifically in AI/ML governance.

• Proven experience in designing or operating AI governance programs, model risk management frameworks, or technology risk management processes.

• Extensive understanding of generative AI, large language models, AI agents, and the associated regulatory expectations.

• Familiarity with the EU AI Act, GDPR, NIST AI RMF, and ISO/IEC 42001.

• Ability to collaborate with and influence cross-functional stakeholder groups without direct line authority.

• Experience in managing or contributing to governance councils, steering committees, or similar oversight bodies.

• Comprehensive knowledge of AI/ML technologies, including large language models, AI-enabled applications, APIs, and data pipelines.

• Implementation-level understanding of information security, data privacy controls, and life science compliance frameworks such as ISO 27001, NIST 800-53, ISO 9001, GxP, GDPR, and CCPA.

• Strong project management skills and a track record of building programs and processes from the ground up.

• Excellent written and verbal communication skills, including the ability to prepare executive-ready materials and governance documentation.

• Relevant professional certifications are preferred: AIGP, CIPP, CISM, CRISC, or equivalent.

• Experience in the Life Sciences (GxP) sector and knowledge of scientific informatics or cheminformatics is a plus.

🏝️ Benefits

• Remote-friendly work environment.

• Equal opportunity employer.

• Welcoming and supportive workplace.