Vice President - Data Analysis

About QNB

Founded in 1964 as Qatar's first locally owned commercial bank, QNB Group has expanded to become the largest banking institution across the Middle East and Africa region. The Group operates in over 31 countries on three continents, employing more than 28,000 staff members and serving around 20 million clients through 1,000 branches and 4,300 ATMs. QNB holds high credit ratings from Standard & Poor's (A), Moody's (Aa3), and Fitch (A+) and has received numerous awards from international financial publications. It is recognized as the most valuable banking brand in the Middle East and Africa by Brand Finance Magazine. The Group actively supports communities by sponsoring social, educational, and sports activities.

Role Overview

The Vice President of Data Analysis is responsible for steering QNB’s enterprise-wide analytics initiatives to promote data-informed decision-making across all business units. This leadership role involves managing a team of analysts, designing executive dashboards, establishing KPI frameworks, performing performance analyses, and delivering business intelligence solutions aimed at enhancing profitability, operational efficiency, and regulatory compliance.

Main Duties and Responsibilities

• Lead and supervise analysts, BI developers, and MIS specialists, defining clear performance goals and KPIs.
• Set team objectives (OKRs) aligned with corporate strategy and digital transformation efforts.
• Develop enterprise-wide KPIs and dashboards in line with the Bank’s strategic and financial goals.
• Conduct advanced financial modeling, profitability assessments, and scenario planning to support executive decisions.
• Integrate sophisticated analytics into core revenue streams such as loans, deposits, and fees to optimize results.
• Ensure analytics investments maximize returns and align with strategic priorities.
• Perform cost-efficiency analyses through benchmarking and variance reviews.
• Drive initiatives to improve Net Promoter Score, client retention, and cross-selling analytics.
• Monitor effects of pricing, interest rates, and commissions using dynamic modeling.
• Assess and mitigate financial risks employing key risk indicators and early-warning models.
• Act within delegated authority and monitor team exercise of responsibilities.
• Provide strategic advice to business units by converting complex data into actionable insights.
• Collaborate with stakeholders in retail, corporate, international, and digital banking for tailored reporting.
• Lead marketing, CRM, and product teams’ engagements to optimize campaigns and segmentation.
• Oversee analytics efforts that support customer onboarding, retention, upselling, and loyalty programs.
• Support channel and branch performance analysis, promoting digital adoption.
• Ensure availability of real-time dashboards via self-service BI platforms for business users.
• Conduct quarterly executive reviews backed by insightful reports.
• Forge partnerships with external vendors for benchmark and advanced analytics solutions.
• Address customer queries regarding banking products and resolve related requests promptly.
• Maintain adherence to service level agreements to improve operational turnaround times.
• Build effective interdepartmental relationships to achieve Group objectives.
• Provide accurate data to auditors, compliance, finance, and risk teams as needed.
• Oversee and govern the entire data analytics lifecycle from requirements to delivery and iteration.
• Standardize business metric definitions and create metadata repositories for cross-department consistency.
• Lead cross-functional analytics groups spanning finance, risk, treasury, operations, and compliance.
• Implement analytics frameworks to boost operational efficiency and cost management.
• Ensure adherence to regulatory data architecture and reporting requirements, including QCB, GDPR, and NDCP compliance.
• Review and approve critical business models prior to deployment.
• Collaborate with Data Governance and Quality teams to maintain audit readiness of analytics outputs.
• Adopt and evaluate workflow automation tools integrating analytics with business systems.
• Champion continuous improvement through cross-team initiatives, industry best practices, and innovative thinking.
• Develop learning and growth plans for analytics staff, promoting technical skills and business storytelling.
• Foster a culture of analytics-driven decision-making and knowledge sharing via playbooks and success metrics.
• Lead cross-training programs to expand team expertise and support career development.
• Keep abreast of emerging analytics trends, AI/ML tools, and cloud technologies relevant to financial services.
• Mentor senior analysts in transforming business challenges into data-driven solutions.
• Host forums to highlight high-impact analytics projects and drive data literacy across the Bank.
• Conduct regular performance evaluations and resolve team conflicts promptly.
• Identify and support professional development opportunities to prepare staff for leadership roles.
• Ensure full compliance with all relevant data protection, regulatory, and governance standards.
• Participate in audits as the analytics lead, providing required documentation and evidence.
• Implement workflows safeguarding sensitive data and maintain audit trails, access controls, and documentation standards.
• Support risk and regulatory teams with analytics for control self-assessment, risk indicators, capital adequacy, and Basel reporting.
• Manage proper lifecycle and use of analytics models approved at the executive level.
• Align analytics initiatives with Conduct Risk and Data Protection policies.
• Coordinate investigations into data breaches or unauthorized data access with compliance teams.
• Complete mandatory training and participate in internal and external seminars.
• Maintain confidentiality of sensitive customer and Bank information, sharing only with authorized parties.
• Uphold QNB's professional standards and market leadership reputation.
• Perform any additional responsibilities assigned by management.
• Develop succession planning and capability mapping within the analytics function.
• Encourage an inclusive, high-performance work environment that promotes accountability and innovation.
• Oversee recruitment, onboarding, and talent development of analytic professionals.
• Create and enforce governance policies for dashboard management, metric owners, and release processes.
• Represent analytics on technology and governance steering committees.

Qualifications and Experience

• Bachelor's degree in Business Analytics, Data Science, Economics, Engineering, or a related field required.
• A Master’s degree or MBA is highly desirable.
• At least 12 years of experience in data analytics, including a minimum of 8 years in senior leadership roles within banking or financial services.
• Proven track record of delivering enterprise-wide BI strategies resulting in measurable business improvements.
• Applicants must submit a CV, passport or QID copy, education certificates, and birth certificate with their application.