Senior Vice President Data Science

**Business Unit**
- QNB - Qatar**Division**
- Strategy**Department**
- Strategy**Country**
- Qatar**Closing Date**
- 31-Dec-2025

**About QNB**:
Established in 1964 as the country’s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.

QNB Group’s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines.

QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard & Poor’s (A), Moody’s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications.

Based on the Group’s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine.

QNB Group has an active community support program and sponsors various social, educational and sporting events.

**Job Summary**:
The Senior Vice President (SVP), Data Science, is a strategic leadership role responsible for shaping, leading, and executing QNB's bank-wide Data & AI strategy. This position drives innovation and transformation across the bank using advanced data analytics, machine learning, deep learning, and Generative AI (GenAI). The SVP works closely with executive stakeholders to align data science initiatives with business priorities, ensure strong governance, and build scalable AI capabilities that drive financial performance, operational efficiency, and superior customer experiences. The role also includes oversight of Advanced Analytics, AI model lifecycle management, talent development, and the promotion of ethical Data & AI use across QNB.

**Main Responsibilities**:
**A. Shareholder & Financial**:

- Define and drive execution of QNB's enterprise Data Science & AI strategy aligned to business outcomes.
- Deliver high-impact, AI-powered solutions that generate measurable financial benefits (e.g., revenue growth, cost efficiency, risk mitigation).
- Oversee budgeting and resource allocation across strategic data initiatives.
- Monitor the ROI of Data Science & AI investments using business-focused KPIs and OKRs.
- Establish a data-driven culture across the bank, ensuring AI is embedded in all relevant decision-making processes.
- Implements KPI’s and best practices for Senior Vice President, Data Science
- Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank.
- Act within the limits of the powers delegated to the incumbent and delegate authority to the respective staff and monitor exercise of the same.
- Demonstrate clear understanding of the important factors behind the bank's financial & non-financial performance.

**B. Customer (Internal & External)**:

- Partner with Group business Heads and IT to develop AI solutions that enhance customer engagement, improve

product personalization, and streamline operations.
- Translate complex data science approaches into business-ready narratives for CXOs and Board-level communication.
- Lead AI capability-building programs for business units, enabling self-serve analytics and citizen data science.
- Champion customer-centric design in all AI and data-driven 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)**:

- Establish scalable AI & ML development pipelines including robust model governance, MLOps, and monitoring frameworks.
- Oversee the development of AI models across use cases such as credit risk, client profitability, fraud detection, customer acquisition, and treasury optimization.
- Ensure compliance with internal and external data protection, governance, and regulatory standards.
- Build and institutionalize reusable data products and GenAI agents across business functions.
- Drive innovation in data science practices by integrating cloud-native platforms, LLMs, and enterprise AI tools.
- Continuous Improvement:

- Set examples by leading improvement initiatives through cross-functional teams ensuring successes.
- Identify and encourage people to adopt practices better than the industry standard.
- Contin