Digital Transformation Manager UAE National Only

Job Purpose Design, build, test, and deploy AI-enabled digital products that transform the client lifecycle across corporate banking channels. Drive the bank’s AI and digital transformation strategy, including adoption of agentic AI, GenAI, advanced analytics, intelligent automation, and workflow orchestration. Identify high-impact use cases where AI agents can reason, plan, execute multi-step tasks, and improve front-office, onboarding, credit, servicing, and operations workflows within defined governance boundaries. Embed responsible AI practices, human-in-the-loop controls, auditability, data privacy, model risk management, and regulatory compliance into all AI-led initiatives. Coach, train, and support business users to adopt AI-enabled ways of working and ensure measurable business value from digital transformation initiatives. Develop product launch, stakeholder engagement, communication, and change management plans to support the AI and digital agenda. Key Result Areas Define and execute the AI transformation roadmap for corporate banking, with clear prioritization of use cases, value pools, business outcomes, and delivery milestones. Partner with relationship managers, operations, risk, compliance, technology, data, and analytics teams to redesign end-to-end workflows before automating them with AI agents. Improve frontline productivity through AI-assisted prospecting, lead generation, client insights, next-best-action recommendations, and personalized relationship management support. Lead implementation of agentic AI solutions that can orchestrate tasks across systems, retrieve enterprise knowledge, summarize information, trigger actions, and escalate exceptions to human users. Enhance onboarding, KYC, credit proposal, portfolio monitoring, service request, and operational processes through GenAI, intelligent document processing, analytics, and automation. Ensure AI initiatives are governed through clear controls covering access rights, consent, explainability, model performance, data quality, audit trails, and exception handling. Track adoption, productivity, cost-to-serve, cycle-time reduction, customer experience, and revenue-impact metrics to demonstrate measurable transformation value. Knowledge, Skills and Experience 1–8 years of experience in digital transformation, AI product delivery, banking technology, advanced analytics, process automation, or related fields. Strong understanding of corporate banking, relationship management, onboarding, KYC, credit, operations, servicing, and front-office productivity challenges. Practical knowledge of GenAI, agentic AI, AI agents, retrieval-augmented generation, workflow orchestration, prompt engineering, machine learning, automation, APIs, and data platforms. Ability to translate business problems into AI use cases, product requirements, user journeys, acceptance criteria, success metrics, and implementation roadmaps. Experience working with technology, data science, risk, compliance, legal, information security, operations, and business teams to deliver governed AI solutions. Strong understanding of responsible AI, model governance, explainability, data privacy, access controls, regulatory expectations, and human-in-the-loop operating models. Demonstrated ability to manage change, influence stakeholders, train users, and drive adoption across frontline and operations teams. Strong communication, problem-solving, analytical thinking, product ownership, agile delivery, and stakeholder management skills. Experience with data visualization and reporting tools such as Power BI, Tableau, or similar platforms is preferred. Bachelor’s or Master’s degree in Business Administration, Economics, Finance, Statistics, Mathematics, Computer Science, Engineering, Data Science, or a related field.

1–8 years of experience in digital transformation, AI product delivery, banking technology, advanced analytics, process automation, or related fields. Strong understanding of corporate banking, relationship management, onboarding, KYC, credit, operations, servicing, and front-office productivity challenges. Practical knowledge of GenAI, agentic AI, AI agents, retrieval-augmented generation, workflow orchestration, prompt engineering, machine learning, automation, APIs, and data platforms. Ability to translate business problems into AI use cases, product requirements, user journeys, acceptance criteria, success metrics, and implementation roadmaps. Experience working with technology, data science, risk, compliance, legal, information security, operations, and business teams to deliver governed AI solutions. Strong understanding of responsible AI, model governance, explainability, data privacy, access controls, regulatory expectations, and human-in-the-loop operating models. Demonstrated ability to manage change, influence stakeholders, train users, and drive adoption across frontline and operations teams. Strong communication, problem-solving, analytical thinking, product ownership, agile delivery, and stakeholder management skills. Experience with data visualization and reporting tools such as Power BI, Tableau, or similar platforms is preferred. Bachelor’s or Master’s degree in Business Administration, Economics, Finance, Statistics, Mathematics, Computer Science, Engineering, Data Science, or a related field.

Define and execute the AI transformation roadmap for corporate banking, with clear prioritization of use cases, value pools, business outcomes, and delivery milestones. Partner with relationship managers, operations, risk, compliance, technology, data, and analytics teams to redesign end-to-end workflows before automating them with AI agents. Improve frontline productivity through AI-assisted prospecting, lead generation, client insights, next-best-action recommendations, and personalized relationship management support. Lead implementation of agentic AI solutions that can orchestrate tasks across systems, retrieve enterprise knowledge, summarize information, trigger actions, and escalate exceptions to human users. Enhance onboarding, KYC, credit proposal, portfolio monitoring, service request, and operational processes through GenAI, intelligent document processing, analytics, and automation. Ensure AI initiatives are governed through clear controls covering access rights, consent, explainability, model performance, data quality, audit trails, and exception handling. Track adoption, productivity, cost-to-serve, cycle-time reduction, customer experience, and revenue-impact metrics to demonstrate measurable transformation value.