Define and execute the enterprise-wide data & analytics strategy aligned with the bank's business priorities.
Build and lead a high-performing team of data scientists, data engineers, and BI specialists.
Promote a strong data-driven culture across the organization.
Data Governance & Management
Establish data governance frameworks, policies, and standards to ensure data quality, security, and compliance with local and international regulations (e.g., SBV, Basel, GDPR).
Oversee data architecture, data warehousing, and master data management.
Analytics & Insights
Drive the adoption of advanced analytics, predictive modeling, and AI/ML solutions to support risk management, fraud detection, credit scoring, and customer personalization.
Translate complex data insights into actionable recommendations for senior management.
Collaboration & Stakeholder Engagement
Partner with business leaders (Risk, Finance, Operations, Marketing, Digital Banking) to identify data-driven opportunities.
Work closely with IT to modernize data platforms (cloud, big data, real-time analytics).
Innovation & Continuous Improvement
Stay updated with emerging technologies (AI, GenAI, cloud data platforms, open banking).
Drive proof-of-concepts (POCs) and scale successful innovations into production.
Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Finance, or related field.
12+ years of experience in data analytics, business intelligence, or data science, with at least 5 years in a leadership role.
Strong expertise in data governance, data architecture, and regulatory compliance for banking/financial services.
Proven track record of delivering large-scale data initiatives in banking, fintech, or financial institutions.
Hands-on knowledge of analytics tools & platforms (SQL, Python, R, Tableau, Power BI, Hadoop, Spark, cloud platforms).
Excellent leadership, communication, and stakeholder management skills.
Strong business acumen with the ability to link data initiatives to business outcomes.
