QNB3788-Vice President Data Analysis

Job Summary

The Vice President - Data Analysis will lead the execution of QNB's enterprise-wide analytics strategy, ensuring insights-driven decision-making across all business units. This role involves overseeing the development of executive dashboards, KPI frameworks, performance analysis, and business intelligence solutions that drive measurable business value. The incumbent will manage a team of analysts and collaborate across functions to improve profitability, enhance operational efficiency, and ensure compliance with internal and regulatory standards.

It is ideal that the candidate should have: Advanced SQL and data modeling, Python, DWH / Lakehouse Design, ETL / ELT Pipeline Development, BI and reporting platforms, Data quality and reconciliation, Banking data domain knowledge, Workflow orchestration and automation, Databricks or similar, Data governance.

Main Responsibilities

A. Shareholder & Financial:

• Lead and manage a team of analysts, BI developers, and MIS experts with clear performance objectives and KPIs.
• Define team OKRs aligned with strategic initiatives across business segments and digital transformation.
• Define enterprise-level KPIs, measurement standards, and performance dashboards aligned with QNB's strategic and financial objectives.
• Lead data-driven financial modelling, profitability analysis, and scenario planning to support C-level decisions.
• Optimize business outcomes by integrating advanced analytics into key revenue-generating areas such as lending, deposits, and fee income.
• Align analytics investments with organizational priorities and deliver maximum ROI from BI platforms and tools.
• Design and deliver cost-efficiency analysis for operational processes using benchmarking and variance analysis.
• Contribute to strategic initiatives such as Net Promoter Score (NPS) growth, client retention, and cross-sell analytics.
• Monitor and analyse the impact of pricing, interest rate, and commission changes using dynamic models.
• Evaluate and mitigate financial risk exposure through data-supported key risk indicators (KRIs) and early-warning models.
• Act within the limits of the powers delegated to the incumbent and delegate authority to the respective staff and monitoring exercise of the same.
• Demonstrate clear understanding of the important factors behind the bank's financial & non-financial performance.

B. Customer (Internal & External):

• Serve as a senior advisor to business units by converting data into insights to drive customer-centric strategy.
• Collaborate with stakeholders across retail, corporate, international, and digital banking to deliver customized performance reports.
• Lead strategic engagements with marketing, CRM, and product teams to optimize campaign effectiveness and client segmentation.
• Oversee analytics initiatives that drive onboarding, retention, upselling, and loyalty programs.
• Support branch/channel performance tracking and digital adoption strategies through channel-level analytics.
• Ensure availability of real-time dashboards and alerts for business users through self-service BI environments.
• Facilitate quarterly business reviews with senior executives using insight-backed reporting packs.
• Build external partnerships with vendors and service providers for benchmark studies and advanced analytics solutions.
• To assist customers in all their queries on Bank's product and seek solution to their requests.
• Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time.
• Build and maintain strong/effective relationships with related departments/units to achieve the Group's objectives.
• Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required.

C. Internal (Processes, Products, Regulatory):

• Own and govern the enterprise data analytics lifecycle from requirement gathering to insight delivery and refinement.
• Design and deploy standardized business metric definitions and metadata repositories to support consistency across departments.
• Lead cross-functional working groups to address analytics use cases across finance, risk, treasury, operations, and compliance.
• Implement analytics frameworks to monitor and improve operational efficiency and cost optimization projects.
• Ensure regulatory-compliant data architecture and reporting workflows as per QCB, GDPR, and NDCP.
• Review, validate, and approve critical business models (profitability, risk scoring, churn) before deployment.
• Work closely with the Data Governance and Quality teams to ensure audit readiness of all analytical models and outputs.
• Evaluate and implement workflow tools that integrate analytics seamlessly with business systems (CRM, core banking, etc.).
• Continuous Improvement: (add if they have subordinates)
• Set examples by leading improvement initiatives through cross-functional teams ensuring successes.
• Identify and encourage people to adopt practices better than the industry standard.
• Continuously encourage and recognise the importance of thinking out-of-the-box within the team.
• Encourage, solicit and reward innovative ideas even in day-to-day issues.

D. Learning & Knowledge:

• Build a learning roadmap for the analytics team, covering technical upskilling and business storytelling techniques.
• Champion a culture of analytical curiosity and insight-driven decision-making across business users.
• Establish a knowledge-sharing environment through analytics playbooks, case studies, and success metrics.
• Initiate cross-training programs for analysts to support multi-domain exposure and professional development.
• Stay current with evolving analytics trends, AI/ML tools, and cloud analytics capabilities in financial services.
• Mentor senior analysts on translating business problems into analytical hypotheses and data solutions.
• Facilitate monthly innovation forums to showcase high-impact analytics use cases across QNB.
• Drive a data literacy program across business units to build awareness and adoption of BI solutions.
• Hold meetings with staff and assess their performance and your teams overall performance on a regular basis.
• Take decisive action to ensure speedy resolution of unresolved grievances or conflicts within the team members.
• Identify development opportunities and activities for staff and facilitate/coach them to improve their effectives and prepare them to assume greater responsibilities.

E. Legal, Regulatory, and Risk Framework Responsibilities:

• Ensure full adherence to QCB, NDCP, and international data protection and analytics governance requirements.
• Participate in internal and external audits as the analytics lead and provide all required documentation and evidence.
• Implement review workflows for business reports involving sensitive KPIs or confidential customer information.
• Define and maintain audit trails, access controls, and documentation standards for all critical analytical assets.
• Support Regulatory and Risk teams with analytics for RCSA, KRI, internal capital adequacy, and Basel reporting.
• Oversee proper usage and lifecycle of business models approved for executive decision-making.
• Drive alignment of all analytics programs with the Bank's Conduct Risk and Data Protection policies.
• Coordinate with Compliance and Internal Audit teams to investigate data breaches or unauthorized analytical access.
• Complete all mandatory training provided by the Bank, attain, and maintain the required levels of competence.
• Attend mandatory (internal and external) seminars as instructed by the Bank.

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