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Chief Intelligence Officer Jobs (NOW HIRING)

RTR Pilates

Chief Operations Officer (COO)

Potomac, MD · On-site

Chief Operations Officer (COO) Operational Leader & Organizational Integrator Location: Maryland/DC ... intelligence to hold people firmly accountable while maintaining healthy, trusting professional ...

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Chief Intelligence Officer information

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$33K

$124.4K

$200.5K

How much do chief intelligence officer jobs pay per year?

As of Jun 30, 2026, the average yearly pay for chief intelligence officer in the United States is $124,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $146,000.00 per year, depending on experience, location, and employer.

What is the difference between Chief Intelligence Officer vs Business Intelligence Manager?

AspectChief Intelligence OfficerBusiness Intelligence Manager
CredentialsTypically requires advanced degrees in intelligence, security, or related fields; security clearances may be neededBachelor's or master's in business, data analysis, or related fields; certifications like CBIP are common
Work EnvironmentStrategic leadership in corporate or government agencies, focusing on intelligence gathering and analysisData analysis and reporting within corporate departments, focusing on business insights
Employer & IndustryGovernment agencies, defense, intelligence firms, large corporationsPrivate companies, consulting firms, industries relying on data-driven decisions

The Chief Intelligence Officer oversees strategic intelligence operations, often with a focus on security and national interests, while the Business Intelligence Manager concentrates on analyzing business data to support decision-making. Both roles require analytical skills, but the CIO's scope is broader and more strategic, often involving security clearances and high-level planning.

What are some common challenges faced by a Chief Intelligence Officer when integrating intelligence operations across departments?

A Chief Intelligence Officer often encounters challenges related to aligning intelligence strategies with varying departmental goals and ensuring smooth information flow between teams. Navigating organizational silos, managing data security, and standardizing intelligence processes can be complex, especially in large organizations. Success in this role requires strong collaboration skills to foster interdepartmental trust, clear communication to align objectives, and the ability to implement unified intelligence platforms that support diverse needs. Building a culture of intelligence-sharing and continuous improvement is key to overcoming these obstacles.

What is a Chief Intelligence Officer?

A Chief Intelligence Officer (CIO) is a senior executive responsible for overseeing an organization's intelligence activities, which may include gathering, analyzing, and disseminating information critical to decision-making and strategic planning. In both government and private sectors, the CIO leads teams that monitor trends, assess risks, and provide insights to support security, competitiveness, and operational effectiveness. This role often involves coordinating with other departments, managing data-driven projects, and ensuring that intelligence operations align with organizational goals.

What are the key skills and qualifications needed to thrive as a Chief Intelligence Officer, and why are they important?

To thrive as a Chief Intelligence Officer, you need extensive experience in intelligence analysis, data interpretation, and strategic planning, often backed by an advanced degree in intelligence studies, security, or a related field. Familiarity with intelligence gathering tools, analytic software, and secure communication systems is typically required, along with relevant security clearances. Exceptional leadership, critical thinking, and interpersonal skills set outstanding candidates apart in this high-stakes role. These skills and qualities are crucial for making informed decisions, safeguarding sensitive information, and leading intelligence operations effectively.
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What job categories do people searching Chief Intelligence Officer jobs look for? The top searched job categories for Chief Intelligence Officer jobs are:
Chief Intelligence Officer jobs near you
Infographic showing various Chief Intelligence Officer job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $124,409 per year, or $59.8 per hour.
Chief Artifical Intelligence Officer (CAIO)

Chief Artifical Intelligence Officer (CAIO)

City National Bank of Florida

Coral Gables, FL • On-site

Full-time

Posted 7 days ago

Key responsibilities

  • Define and lead the Bank's enterprise artificial intelligence strategy and drive its execution across business functions.

  • Redesign core business processes and oversee the deployment of AI-enabled workflows and automation.

  • Establish and maintain an AI governance framework to ensure regulatory compliance and risk management.

Job description

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 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-enabled devices (e.g., AI glasses or similar technology) is not permitted during interviews.
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

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