Chief AI Officer (CAIO)

Discovered

TheHiveCareers

GuyanaRemoteFull TimePosted 10 days ago (Aug 3, 2026)

About the role

@@HD@@ Job Title: Chief AI Officer (CAIO)@@/HD@@

Role Summary

The Chief AI Officer leads the organization's artificial intelligence strategy, driving adoption of AI/ML to enhance decision-making, automate processes, and create new revenue opportunities. This role ensures AI initiatives are scalable, ethical, and aligned with business objectives, while building enterprise-wide AI capabilities.

1. AI Strategy & Vision

• Define and execute enterprise-wide AI strategy aligned with business goals • Identify high-impact AI use cases across functions (operations, customer experience, risk, marketing) • Advise executive leadership on AI opportunities, risks, and investments

2. AI/ML Development & Deployment

• Oversee development, deployment, and scaling of AI/ML models • Ensure productionization of models with MLOps best practices • Drive adoption of generative AI, predictive analytics, and automation

3. AI Governance & Ethics

• Establish responsible AI frameworks and ethical guidelines • Ensure compliance with emerging regulations and standards such as

EU AI Act

and global AI governance principles • Manage model risk, bias, explainability, and transparency

4. Data & Technology Collaboration

• Partner with Chief Data Officer, CIO, and CTO on data, infrastructure, and platforms • Ensure availability of high-quality data for AI initiatives • Align AI strategy with enterprise architecture and technology stack

5. Business Integration & Value Creation

• Embed AI into core business processes and decision-making workflows • Drive measurable outcomes (revenue growth, cost reduction, efficiency gains) • Track ROI and performance of AI initiatives

6. Innovation & Emerging Technologies

• Explore and adopt cutting-edge AI technologies (LLMs, computer vision, NLP) • Foster a culture of experimentation and continuous innovation • Build partnerships with AI vendors, startups, and research institutions

7. Talent & Capability Building

• Build and lead high-performing AI, data science, and ML engineering teams • Upskill the organization on AI literacy and adoption • Establish AI centers of excellence (CoE)

Qualifications & Experience

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field (PhD preferred for some organizations) • 15–20+ years of experience in AI, data science, or advanced analytics roles • Proven track record of delivering AI/ML solutions at scale • Strong expertise in machine learning, deep learning, and data platforms • Experience working with executive leadership and cross-functional teams

Key Competencies

• Deep AI/ML technical expertise • Strategic thinking and innovation mindset • Strong business acumen and value orientation • Leadership and stakeholder influence • Ethical and responsible AI awareness Originally posted on Himalayas

Not published in this posting

The company didn't include about the role, benefits in the source posting. The hiring team may have more details on their own site.