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Open nowFirst seen 5 days ago

Chief AI Officer (CAIO)

thehivecareers.co2,874 open roles

Where
Georgetown, Guyana, Remote
Work mode
Remote
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Your applicationOpen nowChief AI Officer (CAIO)thehivecareers.co · Georgetown, Guyana, Remote

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 5 days ago

The posting

Job Title: Chief AI Officer (CAIO)

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.

Key Responsibilities

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
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