Data, Analytics & AI Strategy
- Oversee the design, implementation, and governance of enterprise data platforms, including data lakes, data warehouses, and analytics tools.
- Identify and prioritize opportunities to apply Advanced Analytics and AI to generate business value, operational efficiency, and competitive advantage.
- Promote and embed a data- driven culture across all levels of the organization.
- Define and drive the enterprise- wide Data Analytics & AI strategy aligned with overall business objectives.
Data Platform & Analytics Enablement
- Lead the development of dashboards, management reporting, and self- service analytics capabilities.
- Ensure data quality, integrity, and compliance with applicable regulations (e.g., GDPR, local banking and financial regulations).
AI/ML & Advanced Analytics
- Build and scale MLOps capabilities to ensure robust model lifecycle management, monitoring, and continuous improvement.
- Partner with business functions (e.g., Risk, Credit Scoring, Customer Engagement, Fraud Detection, Operations) to design and implement AI- driven use cases.
- Lead the research, development, and deployment of machine learning models, natural language processing, computer vision, and other AI techniques.
People, Stakeholder & Vendor Management
- Collaborate closely with the CIO and senior business leaders to translate business challenges into scalable Data & AI solutions.
- Lead, mentor, and develop high- performing teams of Data Scientists, Data Engineers, and Analysts.
- Manage vendor relationships and evaluate emerging technologies, tools, and strategic partnerships.
Governance, Risk & Compliance
- Establish and maintain data governance and AI governance frameworks, ensuring ethical and responsible AI practices.
- Ensure compliance with data security, privacy, and data usage regulations.
- Identify and manage risks related to AI adoption, including model bias, explainability, and accountability.
Other tasks as assigned by the manager.
