Job Overview

Director — AI Banking Intelligence

Location: Dubai, United Arab Emirates

Employment Type: Full-Time

Position Level: Executive Leadership

Industry: Banking & Financial Services

Work Model: Executive Leadership | Strategic Enterprise Role

Executive Opportunity

An internationally focused banking institution in the United Arab Emirates is seeking an accomplished Director to establish and lead its next-generation AI Banking Intelligence function. This is a rare executive opportunity for an innovative banking leader who combines deep financial expertise with advanced artificial intelligence strategy, enterprise data intelligence, predictive analytics, digital banking transformation, and executive decision support.

The successful candidate will be responsible for building an enterprise-wide intelligence ecosystem that transforms how banking decisions are made across every business division. Rather than simply implementing AI technologies, the Director will architect a comprehensive Banking Intelligence framework that integrates machine learning, predictive modelling, customer intelligence, fraud intelligence, financial analytics, behavioural insights, regulatory intelligence, operational intelligence, and executive reporting into a single strategic capability.

This position demands a visionary leader capable of aligning artificial intelligence initiatives with long-term banking strategy while ensuring operational resilience, regulatory compliance, ethical AI governance, customer trust, and sustainable financial performance. The Director will collaborate closely with executive management, technology leaders, risk professionals, operations teams, treasury, retail banking, corporate banking, wealth management, and digital banking departments to create an intelligent banking environment that continuously adapts to changing market conditions.

The role represents an exceptional opportunity to shape the future of banking within one of the world’s most dynamic financial centres by embedding intelligence into every critical business decision, customer interaction, and operational process.

Strategic Mission

The Director will establish an enterprise AI Banking Intelligence Centre responsible for transforming traditional banking operations into a highly intelligent, data-driven organization capable of delivering faster decisions, stronger risk controls, superior customer experiences, and sustainable competitive advantage.

The successful executive will champion innovation while ensuring that artificial intelligence remains transparent, secure, explainable, compliant, and aligned with international banking standards.

Primary Leadership Responsibilities

The Director will:

• Develop the long-term AI Banking Intelligence strategy aligned with enterprise objectives.

• Establish an enterprise-wide banking intelligence operating model.

• Design a unified intelligence architecture supporting all banking divisions.

• Lead AI adoption across retail, corporate, commercial, private, SME, treasury, and digital banking.

• Build predictive decision-support capabilities for executive leadership.

• Oversee enterprise banking analytics and strategic reporting.

• Create advanced customer intelligence frameworks.

• Lead fraud detection modernization initiatives.

• Strengthen anti-financial crime intelligence capabilities.

• Develop intelligent credit risk assessment models.

• Introduce AI-driven portfolio monitoring systems.

• Improve lending decision quality using predictive analytics.

• Lead behavioural analytics initiatives for customer engagement.

• Optimize branch performance using intelligent operational insights.

• Improve profitability through enterprise analytics.

• Enhance liquidity forecasting capabilities.

• Support treasury optimization through intelligent forecasting.

• Build early-warning risk intelligence systems.

• Improve regulatory reporting automation.

• Strengthen enterprise governance over AI deployment.

• Oversee ethical AI implementation across banking operations.

• Develop enterprise data quality frameworks.

• Promote responsible AI usage throughout the organization.

• Lead enterprise automation initiatives.

• Improve operational efficiency through intelligent workflow optimization.

• Reduce manual processing across banking functions.

• Develop executive dashboards for board-level reporting.

• Enhance customer retention through predictive intelligence.

• Improve digital banking personalization.

• Build intelligent product recommendation models.

• Establish enterprise performance intelligence.

• Introduce predictive workforce analytics.

• Improve branch network optimization.

• Lead strategic investment evaluations using AI.

• Develop market intelligence capabilities.

• Build competitive intelligence reporting.

• Improve cross-selling intelligence.

• Strengthen customer lifetime value analytics.

• Create intelligent pricing strategies.

• Enhance profitability forecasting.

• Improve operational resilience.

• Drive enterprise innovation culture.

• Mentor senior intelligence professionals.

• Develop high-performing AI teams.

• Build partnerships with financial technology ecosystems.

• Evaluate emerging AI technologies.

• Support enterprise strategic planning.

• Present intelligence findings to executive committees and governing boards.

Enterprise Banking Intelligence Responsibilities

The Director will oversee intelligence capabilities supporting:

• Retail Banking

• Corporate Banking

• Commercial Banking

• SME Banking

• Digital Banking

• Private Banking

• Wealth Management

• Treasury Operations

• Lending Operations

• Credit Administration

• Financial Crime Prevention

• Regulatory Compliance

• Enterprise Risk Management

• Customer Experience

• Business Development

• Banking Operations

• Payment Services

• Trade Finance

• Cash Management

• Collections

• Recoveries

• Internal Audit

• Financial Planning

• Strategic Investments

• Banking Innovation

Artificial Intelligence Leadership

The successful candidate will lead enterprise implementation of:

• Machine Learning

• Predictive Analytics

• Natural Language Processing

• Generative AI

• Intelligent Automation

• Robotic Process Automation

• Computer Vision (where applicable)

• Intelligent Document Processing

• AI Decision Support

• Recommendation Engines

• Customer Behaviour Prediction

• Intelligent Credit Scoring

• Intelligent Fraud Monitoring

• AI Risk Modelling

• Predictive Maintenance for Banking Infrastructure

• Enterprise Knowledge Intelligence

• AI Governance Frameworks

Banking Intelligence Domains

The Director will oversee intelligence across numerous business functions, including:

Customer Intelligence

Develop sophisticated customer segmentation models, behavioural analytics, customer profitability frameworks, acquisition strategies, retention analytics, churn prediction models, and personalized banking experiences.

Risk Intelligence

Create enterprise-wide predictive risk frameworks capable of identifying emerging operational, financial, cyber, liquidity, credit, and strategic risks before they materialize.

Fraud Intelligence

Lead advanced fraud analytics capable of detecting suspicious behaviour in real time while minimizing false positives and improving customer trust.

Financial Intelligence

Deliver executive-level financial insights supporting profitability optimization, capital allocation, liquidity planning, revenue forecasting, and cost management.

Operational Intelligence

Improve operational efficiency by identifying bottlenecks, forecasting resource requirements, optimizing workflows, and enhancing service delivery across banking operations.

Regulatory Intelligence

Develop intelligent monitoring capabilities supporting evolving regulatory obligations, internal governance requirements, audit readiness, and compliance reporting.

Executive Leadership Expectations

The Director will:

• Inspire multidisciplinary teams.

• Lead organizational transformation.

• Influence executive decision-making.

• Promote innovation across business functions.

• Strengthen collaboration between technology and banking divisions.

• Build future leadership capabilities.

• Develop enterprise intelligence culture.

• Foster continuous improvement.

• Encourage ethical innovation.

• Maintain operational excellence.

Required Qualifications

Candidates should possess:

• Master’s degree in Banking, Finance, Economics, Data Science, Artificial Intelligence, Computer Science, Business Administration, or a related discipline.

• 15+ years of banking experience.

• 8+ years leading enterprise transformation or banking intelligence initiatives.

• Extensive knowledge of banking operations across multiple business lines.

• Strong executive leadership experience.

• Exceptional strategic planning capability.

• Advanced financial analysis expertise.

• Enterprise data governance experience.

• Experience implementing AI solutions within regulated financial environments.

Professional certifications in banking, analytics, project management, artificial intelligence, cloud technologies, or enterprise architecture will be highly regarded.

Technical Competencies

The successful executive should demonstrate expertise in:

• Enterprise Banking Architecture

• Artificial Intelligence Strategy

• Banking Analytics

• Business Intelligence Platforms

• Data Governance

• Predictive Analytics

• Financial Modelling

• Cloud Banking Platforms

• Data Warehousing

• Executive Reporting

• Banking Risk Systems

• Regulatory Technologies

• Data Visualization

• Digital Banking Platforms

• Intelligent Automation Technologies

• Enterprise Integration

• Cybersecurity Awareness

• Data Privacy Frameworks

Leadership Competencies

The ideal candidate will possess:

• Visionary leadership

• Executive influence

• Strategic thinking

• Commercial acumen

• Financial leadership

• Organizational transformation expertise

• Exceptional communication

• Innovation leadership

• Decision-making excellence

• Stakeholder management

• Change leadership

• Talent development

• Cross-cultural collaboration

• Problem-solving capability

• Executive presence

Key Performance Indicators

Success in this role will be measured through:

• AI adoption across enterprise banking functions.

• Improvement in decision-making speed.

• Growth in operational efficiency.

• Reduction in fraud losses.

• Improved customer satisfaction.

• Increased digital engagement.

• Enhanced regulatory compliance.

• Improved portfolio quality.

• Revenue growth supported by intelligence initiatives.

• Cost optimization achievements.

• Data quality improvements.

• Executive reporting effectiveness.

• Employee adoption of intelligent tools.

• Successful delivery of strategic transformation programs.

Executive Benefits

The selected executive will receive a highly competitive leadership package that may include:

• Executive-level remuneration.

• Annual performance incentives.

• Long-term strategic bonus opportunities.

• Housing allowance.

• Comprehensive healthcare coverage.

• Retirement contributions.

• Professional executive development funding.

• International conference participation.

• Leadership coaching.

• Executive wellness programmes.

• Annual leave benefits.

• Family support initiatives.

• Relocation assistance where applicable.

Why This Opportunity Stands Apart

This is more than a leadership appointment—it is an opportunity to define how artificial intelligence reshapes modern banking at an enterprise level. The successful Director will influence strategic decisions that affect every aspect of the institution, from customer engagement and financial performance to regulatory excellence and digital innovation. By establishing a world-class AI Banking Intelligence capability, the successful candidate will leave a lasting impact on the future direction of banking within the Gulf region while working at the forefront of technological advancement, executive leadership, and financial transformation.

Equal Opportunity Statement

Applications are welcomed from highly qualified professionals of all nationalities and backgrounds. Selection will be based solely on professional merit, leadership capability, technical expertise, and demonstrated success in delivering strategic banking transformation. The institution is committed to fostering an inclusive, collaborative, and high-performing workplace where innovation, integrity, and excellence are valued.

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