The Head of Data and Analytics is a strategic leadership role responsible for leading the development, execution, and governance of the organization’s data and analytics strategy, ensuring that data becomes a strategic asset that informs decision-making, drives business performance, and supports digital transformation. The role will lead enterprise-wide data initiatives, oversee data governance, and enable advanced analytics capabilities and commercialization to unlock value across the Group.

• Formulation of a bank-wide data strategy that supports business growth, risk management, compliance, and customer experience.
• Custody & Governance of Data : As the custodian of the data strategy, the division ensures that data is secure, high-quality, and regulatory-compliant.
• Implementation of Data Strategy : Drive the execution of data-driven transformation across the bank’s retail and commercial division.
• Performance Monitoring & Adaptation.
• Business Performance Monitoring & Reporting.
• Advanced Data Analytics & Predictive Modelling.
• Customer Insights & Personalization
• Astute people leadership

Key Competencies and Skills

• Proficiency in database management (SQL, NoSQL), data warehousing, and analytics tools (e.g., Power BI, Tableau).
• Familiarity with cloud-based data platforms (AWS, Azure, Google Cloud).
• Hands-on experience with machine learning models, predictive analytics, and statistical techniques.
• Proficiency in data science programming languages (Python, R, SAS).
• Knowledge of big data ecosystems, including Apache Kafka, Apache Spark, and Hadoop.
• Ability to design interactive dashboards and self-service analytics solutions.
• Experience in KPI tracking, reporting automation, and visualization best practices.
• Ability to implement scalable data solutions for high-volume transactions.
• Data Governance and Compliance.
• Strong business acumen and strategic thinking.
• Ability to adapt to changing technologies and industry trends.
• Lead, mentor, and develop a team of data analysts and data scientists to achieve departmental goals and foster a culture of learning and growth.

Minimum Qualifications, Knowledge and Experience
Academic and Professional Qualifications

• Bachelor’s degree in Computer Science, Data Science, Mathematics, Business Analytics, or a related field.
• Master’s degree or MBA is preferred.

Experience

• 8-12 years of progressive experience in data analytics, data management, or business intelligence.
• At least 3–5 years in a leadership role, preferably in banking or financial services / Proven leadership experience in cross-functional or enterprise-level data initiatives.
• Strong knowledge of data governance, data warehousing, and regulatory compliance in the banking sector.
• Expertise in BI tools (Tableau, Power BI, etc.), SQL, Python/R, and cloud-based analytics platforms.
• Experience with AI, machine learning, and big data frameworks is a plus.
• Strong understanding of data governance, data quality, and regulatory requirements.

Interested applicants can apply via this link.