QNB3788-Vice President Data Analysis
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Key skills for this role
About the Role
QNB seeks a Vice President of Data Analysis to lead enterprise-wide analytics strategy, driving insights across business units. The role involves managing a team, developing executive dashboards, and ensuring data-driven decision-making.
Key Skills for This Role
Responsibilities
- Lead and manage a team of analysts, BI developers, and MIS experts
- Define enterprise level KPIs, measurement standards, and performance dashboards
- Lead data driven financial modeling, profitability analysis, and scenario planning
- Serve as senior advisor to business units converting data into insights
- Own and govern the enterprise data analytics lifecycle
- Ensure regulatory compliant data architecture and reporting workflows
- Build a learning roadmap for the analytics team
- Mentor senior analysts on translating business problems into analytical hypotheses
Requirements
- University degree in Business Analytics, Data Science, Economics, Engineering, or related field
- Master's degree or MBA highly preferred
- Minimum 12 years experience in data analytics
- At least 8 years in senior leadership roles within banking or financial services
- Track record of delivering enterprise wide BI strategies and measurable business outcomes
Full Job Posting
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.
Ideal Candidate Skills
- 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
- 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.
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.
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.).
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.
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.
Other
- Ensure high standards of data protection and confidentiality to safeguard commercially sensitive information.
- Maintain high professional standards to uphold QNB's reputation and to strengthen its market leadership position.
- Build succession planning and capability mapping frameworks within the analytics function.
- Foster an inclusive, high performance culture that encourages innovation and accountability.
- Oversee recruitment, onboarding, and development of top tier analytical talent.
- Develop and implement governance policies for dashboard publishing, metric ownership, and release management.
- Represent analytics in the bank’s technology or governance steering committees.
- Conduct regular performance reviews, identify skills gaps, and implement targeted development plans.
Education and Experience Requirements
- University degree with specialization in Business Analytics, Data Science, Economics, Engineering, or related fields.
- Master’s degree or MBA is highly preferred.
- Minimum 12 years’ experience in data analytics, with at least 8 years in senior leadership roles within the banking or financial services sector.
- Track record of delivering enterprise wide BI strategies and measurable business outcomes.
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