The asset servicing industry is undergoing digital transformation and needs to harness data and artificial intelligence (AI) to achieve operational excellence, client service, and innovation.
Requirements
- Data lakehouses
- APIs
- AI platforms
- Machine learning
- Data governance frameworks
- Data quality and architecture initiatives
- Automation and predictive analytics
Responsibilities
- Develop and execute a data and AI strategy
- Lead enterprise data governance, quality, and architecture initiatives
- Oversee AI innovation in areas such as automation, predictive analytics, and client intelligence
- Ensure compliance with global data privacy and financial regulations
- Partner with operations, technology, risk, and client service teams to embed data and AI into core workflows
- Lead the design of scalable data lakehouses, APIs, and AI platforms to support client and operational needs
- Establish enterprise-wide data governance frameworks to ensure compliance and reduce regulatory risk
Other
- Strategic decision-making
- Client service and relationship management
- Regulatory compliance and risk management
- Collaboration with cross-functional teams
- Leadership and executive-level management
