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Positions

Chief Articial Intelligence Officer (CAIO)

The Chief AI Officer (CAIO) is responsible for leading the organization’s artificial intelligence strategy, ensuring that AI technologies are ethically, efficiently, and strategically integrated into all business functions to improve performance, innovation, and decision-making. The CAIO acts as a bridge between executive leadership, data science, operations, and technology, driving the company’s AI transformation roadmap.

Position Specs

Position

Chief Articial Intelligence Officer (CAIO)

Level

L4

Leader

CXPO

Division

Playbooks

Master Document

Document Link

Category

Tiempo completo

Position Details

Essential Tasks

  • Develop and execute the organization’s AI vision, strategy, and roadmap aligned with overall business goals e.g., enhance productivity and reduce operational costs.
  • Identify opportunities where AI can create competitive advantage, improve efficiency, or unlock new products and services.
  • Work with the CEO, COO, and CIO to ensure AI initiatives and tools are integrated across all departments.
  • Build and lead the organization’s AI governance framework, including policies for ethics, transparency, and compliance while monitoring potential risks of AI applications.
  • Oversee AI development, implementation, and scaling across units.
  • Partner with business units (Marketing, Sales, HR, Finance, Operations) to co-design AI use cases that drive measurable results.
  • Establish and enforce ethical AI practices, ensuring fairness, privacy, and compliance with global data protection regulations.

Responsibilities

  • Train and mentor internal teams to increase AI literacy across the organization.
  • Define and track AI performance metrics and KPIs, such as ROI, model accuracy, adoption rate, and business impact.
  • Produce executive reports that demonstrate the value creation of AI initiatives.
  • Live PAE’s mission, vision, and values. 

KPIs

  1. AI Adoption Rate Across Business Areas
  2. Operational Efficiency Improvement
  3. AI-Driven Sales Conversion Rate
  4. Learning Engagement / Improvement Rate
  5. AI-Driven Business Impact

 

Qualifications & Skills

  • Master’s or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or a related field.
  • 10+ years of experience in data science, AI strategy, or technology leadership, including at least 3 years in an executive or senior management role.
  • Proven record of deploying enterprise AI solutions with measurable business outcomes.
  • Strong understanding of machine learning, NLP, data architecture, and automation technologies.
  • Experience leading cross-functional teams and managing multi-million-dollar AI portfolios.
  • Deep knowledge of AI ethics, bias mitigation, and regulatory frameworks (e.g., GDPR, AI Act).