Production Management Horizontal Platform SRE (Assistant Vice President)

About the role

Citi's Wealth Production Management team is looking for a Production Management Horizontal Platform SRE (Assistant Vice President) in Singapore. This is an engineering and operations liaison role within Global Production Management, responsible for end-to-end infrastructure service performance, telemetry-driven analytics, application resiliency and the operationalization of AI/AIOps practices.

Key responsibilities

• Act as a service delivery partner for infrastructure supporting the Wealth business, engaging in incident, problem and change management and other ITIL disciplines between Production Management, Infrastructure and Wealth teams.
• Continuously improve resilience and reliability of end-to-end Wealth services.
• Create and maintain relationships, unite virtual teams and lead the delivery of plans.
• Work with Architecture, Infrastructure and Application development teams to deliver best-in-class infrastructure solutions.
• Partner with Infrastructure teams (EUC, VDI, Network, Wintel/Linux, Cloud) to monitor, baseline and improve infrastructure service performance and the end-user environment for advisors, relationship managers, operations and clients.
• Contribute to deep-dive investigations of performance degradation and capacity bottlenecks, and improve monitoring to give early warning of business impact.
• Identify opportunities to deliver savings through infrastructure right-sizing.
• Take part in delivering business, regulatory and technology infrastructure projects, owning quality, timeliness and operational effectiveness.
• Deliver on performance measures including service performance, financial and governance KPIs.

Required profile

• 3-8 years of experience in infrastructure delivery (application hosting and/or end-user services), application support or SRE, with a proven track record of operational process change and improvement.
• Understanding of how specialization contributes to the business and awareness of competitors' products and services.
• Experience in a financial services or large, complex and/or global environment preferred.
• Outstanding analytical, problem-solving and diagnostic mindset.
• Ability to explain technical concepts to non-technical audiences.

Required skills

• Working knowledge of AIOps, ML-driven event correlation, predictive maintenance and Generative AI tools in enterprise operations, applied to metrics, analytical tools, benchmarking and best practices.
• Incident, problem and change management (ITIL).