Business Data Automation & AI Senior Manager

Title: Business Data Automation & AI Senior Manager

Department: Corporate Banking - Data Management

Location: RiyadhCore Responsibilities:Strengthens CIB's reporting foundation by maximizing automation of business and regulatory reports, reducing manual effort, operational risk and turnaround time.Drives the Business-side enablement of AI capabilities within CIB, working within the Bank's AI governance framework and Central Bank regulatory requirements, positioning CIB to capture efficiency gains and new analytics-driven insights.Improves data quality and consistency across downstream reporting and analytics platforms, unlocking more reliable, data-driven decision-making for CIB business heads.Provides critical delivery capacity to the CIB Data Management function, supporting the Senior Data Management Manager across regulatory, governance and transformation priorities.Own and drive the CIB business agenda for the adoption and scaling of Artificial Intelligence (AI) and advanced analytics use cases across Corporate & Institutional Banking.Identify and prioritize use cases, build the business case, define business requirements, and drive execution in close partnership with IT, DMO and the relevant governance functions.Own and maintain the CIB AI enablement roadmap: prioritize use cases by business value, track delivery progress, resolve roadblocks, and escalate cross-functional dependencies to Senior Management.Ensure every AI/ML solution deployed within CIB complies with the Bank's AI governance framework and Central Bank regulations, including model risk, responsible/ethical AI use, and data privacy requirements.Lead the automation of manual queries and legacy workbooks into sophisticated, production-grade business and regulatory reports using EDW and BI tools (e.g.

Tableau, Denodo).Design and execute complex queries to extract large-scale data from the core banking infrastructure (HUB) and the Enterprise Data Warehouse (EDW).Seamlessly prepare business and regulatory reports and ensure timely submission.Actively uncover data inconsistencies, anomalies and gaps across consuming downstream systems to improve data quality and enable CIB to unlock higher returns through improved data quality.Driving Data Management, Analytics and AI-enablement projects jointly with IT, from business case preparation through requirements, architecture, delivery, testing and lifecycle sustainment.Act as the primary liaison between CIB Business, IT, DMO translating broad business strategic imperatives into clearly scoped technical frameworks, analytics solutions and metrics.Maintain precise program estimations, build roadmaps and communicate ongoing project status and timelines to key business heads.Manage projects through JIRA / Confluence, ensuring transparent tracking and stakeholder visibility.Qualifications and Requirements:Python and expert-level SQL for data extraction, manipulation and query optimization.Practical experience applying machine learning and statistical modelling techniques; working knowledge of AI/GenAI tools and their responsible deployment within a regulated banking environment.Strong hands-on proficiency with Denodo for connecting heterogeneous data sources.Advanced dashboard design and data modelling using Tableau and Power BI to create intuitive executive readouts.Expert competency with Alteryx / Tableau Prep for rapid workflow automation and data preparation.Practical knowledge of Core Banking Systems (e.g., HUB, AS400) and Enterprise Data Warehouses (EDW); familiarity with Collibra is highly advantageous.Hands-on experience managing projects through JIRA / Confluence.Deep understanding of CIB products and value chains (trade finance, cash management, lending, treasury).Proven background in financial services, corporate banking, or data management environments, at a senior/managerial level.Demonstrable experience leading or playing a principal role in large-scale change and transformation programs centered on data infrastructure, enterprise analytics or AI enablement.