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Chief AI Officer (CAIO)

  • Full Time
  • Anywhere

TheHiveCareers

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

Originally posted on Himalayas

To apply for this job please visit himalayas.app.

About this role & career path

Working in Virgin Islands, British

The British Virgin Islands (BVI), officially the Virgin Islands, are a British Overseas Territory in the Caribbean, to the east of Puerto Rico and the US Virgin Islands and north-west of Anguilla. The islands are geographically part of the Virgin Islands archipelago and are located in the Leeward Islands of the Lesser Antilles and part of the West Indies.

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