Overview The Chief Artificial Intelligence Officer (CAIO) is responsible for defining and executing the Bank's enterprise artificial intelligence strategy to drive operational efficiency, enhance ...
Overview The Chief Artificial Intelligence Officer (CAIO) is responsible for defining and executing the Bank's enterprise artificial intelligence strategy to drive operational efficiency, enhance ...
The Chief Artificial Intelligence Officer (CAIO) is responsible for defining and executing the Bank's enterprise artificial intelligence strategy to drive operational efficiency, enhance risk ...
The Chief Artificial Intelligence Officer (CAIO) is responsible for defining and executing the Bank's enterprise artificial intelligence strategy to drive operational efficiency, enhance risk ...
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Job Summary Reporting to the President, the Senior Vice President and Chief Artificial Intelligence & Innovation Officer provides executive leadership and strategic vision for three interconnected ...
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San Francisco, CA ยท Remote
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Company Description Chief Technology Officer (CTO), Artificial Intelligence (AI) Required, Work From Home We are looking for a Chief Technology Officer (CTO) who can think clearly about systems, make ...
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Company Description Chief Technology Officer (CTO), Artificial Intelligence (AI) Required, Work From Home We are looking for a Chief Technology Officer (CTO) who can think clearly about systems, make ...
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San Francisco, CA ยท Remote
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Chief Artificial Intelligence Officer information
See salary details
$33K - $48.2K
1% of jobs
$48.2K - $63.5K
3% of jobs
$63.5K - $78.7K
9% of jobs
$93.9K is the 25th percentile. Wages below this are outliers.
$78.7K - $93.9K
12% of jobs
$93.9K - $109.1K
14% of jobs
The median wage is $119.3K / yr.
$109.1K - $124.4K
16% of jobs
$124.4K - $139.6K
14% of jobs
$145.9K is the 75th percentile. Wages above this are outliers.
$139.6K - $154.8K
13% of jobs
$154.8K - $170K
11% of jobs
$170K - $185.3K
5% of jobs
$185.3K - $200.5K
1% of jobs
$33K
$124.4K
$200.5K
How much do chief artificial intelligence officer jobs pay per year?
What are the key skills and qualifications needed to thrive as a chief artificial intelligence officer?
To thrive as a Chief Artificial Intelligence Officer, you need deep expertise in artificial intelligence, machine learning, data science, and business leadership, typically supported by an advanced degree in computer science or a related field. Familiarity with AI development frameworks (such as TensorFlow or PyTorch), cloud platforms, and relevant certifications (like AWS Certified Machine Learning) is highly valuable. Strategic thinking, excellent communication, and strong team management skills are key soft skills that distinguish exceptional leaders in this role. These capabilities enable effective alignment of AI initiatives with organizational goals and foster productive collaboration across various departments.
What are the typical challenges faced by a chief artificial intelligence officer in a large organization?
Chief Artificial Intelligence Officers in large organizations often face the challenge of integrating advanced AI solutions within existing business processes while managing cross-functional teams with diverse expertise. Navigating organizational resistance to change, ensuring data privacy and compliance, and maintaining ethical AI practices are also common hurdles. Additionally, staying up-to-date with the fast-evolving AI landscape and allocating resources effectively can demand strong strategic vision. To succeed, CAIOs must foster collaboration across departments, advocate for AI literacy, and align technical advancements with business objectives.
What is a chief artificial intelligence officer?
A Chief Artificial Intelligence Officer (CAIO) is a senior executive responsible for overseeing an organization's AI strategy, implementation, and governance. They ensure AI initiatives align with business goals, drive innovation, and maintain ethical AI practices. The CAIO collaborates with technology, data, and business teams to develop AI-driven solutions that enhance efficiency and decision-making. Additionally, they address risks related to AI adoption, including bias, security, and compliance.

Chief Artifical Intelligence Officer (CAIO)
Coral Gables, FL โข On-site
Full-time
Re-posted 16 days ago
Job description
The Chief Artificial Intelligence Officer (CAIO) is responsible for defining and executing the Bank's enterprise artificial intelligence strategy to drive operational efficiency, enhance risk management, and improve client experience.
This role operates as a core member of the leadership team, directly supporting the Chief Operations Officer in transforming the Bank's operating model through the disciplined adoption of artificial intelligence, advanced analytics, and intelligent automation.
The CAIO is accountable for translating AI capabilities into measurable business outcomes by embedding AI into core workflows, decision-making processes, and customer interactions, while ensuring appropriate governance, control, and regulatory alignment within a highly regulated banking environment.
What You'll Do:
Enterprise AI Strategy and Execution
- Define and lead the Bank's AI strategy aligned with business priorities, growth objectives, and operational efficiency goals
- Translate strategy into a prioritized portfolio of initiatives with clear business cases and measurable ROI
- Drive enterprise-wide adoption of AI across operations, credit, risk, fraud, compliance, and client-facing functions
- Establish clear success metrics tied to productivity, cost reduction, revenue enhancement, and risk mitigation
Operating Model Transformation
- Redesign core business processes to incorporate AI-driven decisioning and automation
- Lead the development and deployment of AI-enabled workflows and digital agents across the enterprise
- Identify and eliminate manual, repetitive tasks through automation and intelligent process redesign
- Partner with business leaders to embed AI into day-to-day operations
AI Platform and Infrastructure
- Define the Bank's AI and data architecture strategy in partnership with Technology
- Oversee the development and deployment of scalable AI platforms, tools, and environments
- Establish standards for model development, testing, deployment, and monitoring
- Ensure seamless integration of AI capabilities into existing systems and workflows
Governance, Risk, and Control
- Establish and maintain an enterprise AI governance framework, including policies, standards, and controls
- Ensure all AI use cases comply with regulatory expectations and internal risk management standards
- Partner with Risk, Compliance, and Legal to address model risk, data usage, and decision transparency
- Implement controls to manage bias, explainability, data quality, and output reliability
Business Use Case Delivery
- Identify high-impact AI opportunities and lead end-to-end execution from concept through deployment
- Prioritize initiatives based on financial impact, feasibility, and risk considerations
- Partner closely with business units to ensure adoption and sustained utilization
- Track and report realized value from AI initiatives
Data and Decision Intelligence
- Ensure AI initiatives are supported by high-quality, well-governed data
- Promote the use of advanced analytics to enhance decision-making across the Bank
- Partner with data and technology teams to improve access, usability, and reliability of data assets
Talent and Capability Development
- Build and lead a high-performing AI organization, including data science, engineering, and AI product management
- Develop enterprise-wide AI literacy to enable adoption across all levels of the organization
- Attract, develop, and retain specialized talent in AI and advanced analytics
- Foster a culture of innovation with strong execution discipline
Executive Alignment and Reporting
- Provide regular updates to the Chief Operating Officer and executive team on AI initiatives, performance, and risks
- Support executive-level and Board reporting through the COO as required
- Align AI investments and initiatives with overall enterprise priorities and resource planning
Qualifications
- 10+ years in technology , data, AI, or analytics leadership roles required.
- Deep expertise in artificial intelligence, machine learning, and automation technologies
- Strong business acumen with ability to link AI initiatives to financial outcomes
- Experience scaling AI solutions across complex organizations
- Understanding of AI governance, model risk, and regulatory considerations
- Executive-level communication and stakeholder management skills
- Ability to operate at both strategic and execution levels
- Enterprise level experience including managing and successfully delivering cross functional initiatives.
- Experience in leading projects and multi-tasking with diverse groups and locations.
- Demonstrable experience in implementing strategic plans and managing programs.
- Exceptional and proven leadership capabilities - communication, influence & negotiation, conflict resolution, people management, relationship management (internal/external), and team building.
- Proven ability to successfully partner with internal clients and vendors to align strategy with deliverables, identify business challenges and develop alternatives to mitigate.
- Strong service management and service delivery orientation.
- Excellent written, oral, and interpersonal communication skills.
- Ability to present ideas in at appropriate levels for different audiences.
- Proven ability to work within a changing environment and lead the implementation of change.
- Ability to apply change management principles to initiatives of variable sizes and degrees of complexities.
- Ability to assess the impact or potential impact of change management initiatives of various sizes and degrees of complexities on business financial and performance.
- Advanced level of creativity, strategic thinking and problem management skills.
- Ability to conduct and direct research into information security issues.
- Self-motivated, self-directed, attentive to detail, and able to multi-task.
- Ability to effectively prioritize and execute tasks in a high-pressure environment.
Education
- Bachelor's Degree in computer science, data science, engineering, applied mathematics/statistics, information systems, or a related quantitative field (or equivalent combination of education and experience).
- Master's Degree preferred.
Special Instructions to Candidates
Equal Opportunity
City National Bank of Florida is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, protected veteran status, or any status protected by federal, state, or Florida law. We comply with the ADA and applicable Florida laws.
Interview Guidelines
To ensure a fair interview process, the use of AI wearables, AT tools, AI applications, or other external assistance is strickly prohibited.
Accommodations
If you require a reasonable accommodation to apply or participate in the hiring process, please contact our Talent Attraction team at talent.attraction@citynational.com