AI Governance Lead

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

📋 Description

• Create and execute frameworks for AI Governance and Responsible AI, outlining roles, decision-making procedures, accountability, and escalation pathways.

• Implement AI risk assessment and classification methodologies to analyze AI applications concerning their business context, impact, and possible risks.

• Convert relevant regulations, Responsible AI principles, and organizational policies into actionable governance controls and documentation standards.

• Specify governance checkpoints throughout the AI lifecycle, encompassing testing, approvals, deployment readiness, monitoring, and regular reviews.

• Develop human oversight mechanisms that specify when AI-driven decisions necessitate human validation, intervention, or escalation.

• Partner with clients, engineering teams, Legal, Risk, Compliance, and Security experts to apply governance requirements and assess their effectiveness.

• Produce reusable governance documentation, assessment techniques, control frameworks, and industry best practices.

• Provide counsel to clients on AI governance maturity and potential areas for enhancement.

⛳️ Requirements

• Extensive experience in designing or implementing AI Governance, Responsible AI, model risk, technology risk, or similar governance frameworks.

• Proven ability to translate governance policies into actionable processes, risk assessments, controls, and approval workflows.

• Comprehensive understanding of AI lifecycle risks, including development, deployment, monitoring, accountability, and human oversight.

• Experience navigating regulatory, privacy, compliance, or technology-risk requirements pertinent to the business landscape.

• Background in collaborating with multidisciplinary teams, including Legal, Risk, Compliance, Security, Engineering, and business stakeholders.

• Excellent communication and consulting skills, with the ability to advise clients, clarify governance requirements, and assist in governance maturity evaluations.

• In-depth knowledge of AI Governance and Responsible AI principles, such as transparency, accountability, fairness, privacy, and human oversight.

• Familiarity with established AI governance frameworks like NIST AI RMF, ISO/IEC 42001, ISO/IEC 23894, or equivalent standards.

• Sound understanding of AI risk assessments, governance controls, audit evidence, compliance processes, and risk classification.

• Practical knowledge of GenAI, LLMs, RAG, AI agents, and systems for automated decision-making.

• Insight into AI lifecycle management, governance documentation, monitoring, and approval procedures.

• Awareness of data protection, technology risk, security, and relevant regulatory obligations.

• Experience in governing agentic AI systems, autonomous workflows, or intricate AI decision-making processes.

• Background in AI assurance, model validation, Responsible AI testing, or red teaming.

• Knowledge of governance, risk, and compliance (GRC) platforms or tools for AI governance management.

• Experience with AI data governance, including aspects like data provenance, quality, usage rights, and retrieval sources.

• Experience in regulated industries or across various regulatory jurisdictions.

• Consulting or professional services background, including governance assessments, client workshops, and the development of reusable methodologies.

🏝️ Benefits

• International and multicultural projects.

• Opportunities to engage with cutting-edge technologies in Data, Cloud, and AI ecosystems.

• Access to training programs and ongoing professional development.

• Opportunities for professional growth and internal mobility.

• A culture centered on collaboration, innovation, and continuous learning.