Manage stakeholder expectations, including the ability to say “no” or propose alternative solutions when requests do not align with strategic priorities.
Lead major incident response, service recovery, escalation management, root cause analysis, and problem management activities to minimize business impact and prevent recurrence.
Build and operate monitoring and observability for ML systems (data drift, model performance, system health), and define alerting/incident response processes.
Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime.
Collaborate with data scientists, business analysts, product managers, software engineers and other data engineers to develop, implement and validate deployed data solutions.
Technical Consultation: Provide technical recommendations and explain proposed solutions to clients and internal stakeholders in a clear and understandable manner.
Stay current with emerging technologies and proactively introduce modern engineering capabilities (microservices, containerization, APIs, DevSecOps, data engineering practices, etc.).
Responsible for capacity planning of Compute infrastructure, including licensing and vendor support related engagements. Also includes obsolescence management
Oversee GIC’s SWIFT infrastructure and financial messaging evolution (e.g., ISO 20022), ensuring robust engineering, security, and regulatory compliance.