Gulf Bank
Requirements
The role requires a seasoned professional with extensive experience in AI, machine learning, and data engineering leadership. Candidates must possess strong expertise in AI governance, regulatory compliance, and the ability to mentor teams while managing complex enterprise-wide analytical initiatives.
Job Summary
AI & Data Science Strategy and Capability Development
* Lead the Bank’s enterprise AI, Generative AI, Data Science, and advanced
analytics capabilities and operating model.
* Drive the development and adoption of priority AI, machine learning, and
advanced analytics use cases.
* Provide strategic and technical leadership and establish standards and best
practices across AI and Data Science.
* Build and develop the Bank’s internal AI, Data Science, and Data Engineering
capabilities.
AI, Data & Analytics Platforms
* Own the design, development, implementation, and governance of AI and
analytics platforms.
* Develop data pipelines and integrate multiple data sources to support AI and
analytical solutions.
* Support Microsoft Fabric and other relevant data and analytics platforms.
* Oversee analytical solutions, dashboards, and insights to enable data-driven
decision-making.
Enterprise AI & Data Science Delivery
* Translate business requirements into prioritized AI and Data Science
initiatives.
* Lead initiatives end-to-end from assessment and design through testing,
deployment, and adoption.
* Lead predictive analytics, machine learning, and advanced analytical
solutions.
* Provide technical oversight of AI solutions and ensure appropriate testing
and integration.
* Establish scalable and reusable solutions and standards to support
enterprise-wide adoption.
AI Governance, Risk & Controls
* Lead the development and implementation of the Bank’s AI governance
framework.
* Establish AI policies, standards, controls, and requirements for assessment,
approval, validation, and deployment.
* Ensure AI and Data Science initiatives comply with regulatory, risk, data
governance, and internal control requirements.
* Oversee model performance, data quality, testing, validation, and lifecycle
governance.
Stakeholder & Cross-Functional Collaboration
* Act as the Bank’s subject matter expert and central point of contact for AI
and advanced Data Science initiatives.
* Partner with business, Data, Innovation, Technology, Strategy, MIS, and other
stakeholders to identify opportunities and drive adoption.
* Provide senior management with updates on key initiatives, performance,
risks, and priorities.
* Manage relevant vendors and technology partners supporting AI and Data
Science initiatives.
Knowledge Transfer & Future Capability
* Build internal AI and Data Science knowledge and promote knowledge sharing
across the Bank.
* Mentor and develop AI, Data Science, and Data Engineering resources as the
function expands.
* Drive knowledge transfer from external partners to strengthen internal
capability and reduce vendor dependency.
Responsibilities
The Senior Manager will lead the bank’s enterprise AI, Generative AI, and advanced analytics strategy while overseeing the development and governance of data platforms. They are responsible for driving AI adoption, establishing technical standards, and managing cross-functional stakeholder relationships to ensure data-driven decision-making.
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