AI Governance Lead

🔥 14 hours ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Keyrus

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

🤝 B2B

💼 Consulting

B2B • Data Analytics • Consulting

Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.

📋 Description

• Design and implement AI Governance and Responsible AI frameworks, defining responsibilities, decision-making processes, accountability, and escalation procedures • Establish AI risk assessment and classification processes to evaluate AI applications based on their business context, impact, and potential risks • Translate applicable regulations, Responsible AI principles, and organizational policies into practical governance controls and documentation requirements • Define governance checkpoints throughout the AI lifecycle, including testing, approvals, deployment readiness, monitoring, and periodic reviews • Establish human oversight mechanisms that clarify when AI decisions require human validation, intervention, or escalation • Collaborate with clients, engineering teams, Legal, Risk, Compliance, and Security specialists to implement governance requirements and evaluate their effectiveness • Develop reusable governance documentation, assessment methods, control frameworks, and best practices • Advise clients on AI governance maturity and improvement opportunities

🎯 Requirements

• Strong experience designing or implementing AI Governance, Responsible AI, model risk, technology risk, or comparable governance frameworks • Experience translating governance policies into practical processes, risk assessments, controls, and approval workflows • Understanding of AI lifecycle risks, including development, deployment, monitoring, accountability, and human oversight • Experience working with regulatory, privacy, compliance, or technology-risk requirements relevant to the business environment • Experience collaborating with multidisciplinary teams, including Legal, Risk, Compliance, Security, Engineering, and business stakeholders • Strong communication and consulting skills, including the ability to advise clients, explain governance requirements, and support governance maturity assessments • Knowledge of AI Governance and Responsible AI principles, including transparency, accountability, fairness, privacy, and human oversight • Familiarity with recognized AI governance frameworks such as NIST AI RMF, ISO/IEC 42001, ISO/IEC 23894, or comparable standards • Understanding of AI risk assessments, governance controls, audit evidence, compliance processes, and risk classification • Working knowledge of GenAI, LLMs, RAG, AI agents, and automated decision-making systems • Understanding of AI lifecycle management, governance documentation, monitoring, and approval processes • Familiarity with data protection, technology risk, security, and relevant regulatory requirements • Experience governing agentic AI systems, autonomous workflows, or complex AI decision-making processes • Experience with AI assurance, model validation, Responsible AI testing, or red teaming • Knowledge of governance, risk, and compliance (GRC) platforms or AI governance management tools • Experience with AI data governance, including data provenance, quality, usage rights, and retrieval sources • Experience working in regulated industries or across multiple regulatory jurisdictions • Consulting or professional services experience, including governance assessments, client workshops, and development of reusable methodologies

🏖️ Benefits

• International and multicultural projects • Opportunities to work with leading technologies in Data, Cloud, and AI ecosystems • Access to training programs and continuous professional development • Professional growth opportunities and internal mobility • A culture built on collaboration, innovation, and continuous learning