Application Stability and Service Manager - Vice President

• Act as the single point of accountability for overall platform health, stability, and service-level achievement (SLAs/KPIs) across global Liquidity Reporting, Collateral, Secured Financing, Derivatives, Sources & Uses, and Funds Transfer Pricing (FTP) platforms.

• Act as the single point of accountability for overall platform health, stability, and service-level achievement (SLAs/KPIs) across global Liquidity Reporting, Collateral, Secured Financing, Derivatives, Sources & Uses, and Funds Transfer Pricing (FTP) platforms.
• Establish comprehensive health telemetry, proactive monitoring architectures (e.g., ITRS Geneos, AppDynamics, Grafana, Splunk), and early-warning tripwires to detect batch delays and data processing degradation before business or regulatory impact occurs.
• Drive structured stability programs by analyzing multi-month incident trends, batch bottleneck patterns, and infrastructure friction across distributed data platforms.

• Serve as the senior technical escalation leader during critical service disruptions (Sev 1 / Sev 2), orchestrating cross-functional engineering, infrastructure, and operations teams toward rapid service restoration.

• Serve as the senior technical escalation leader during critical service disruptions (Sev 1 / Sev 2), orchestrating cross-functional engineering, infrastructure, and operations teams toward rapid service restoration.
• Lead end-to-end Root Cause Analysis (RCA) and Post-Incident Reviews (PIR), partnering with development managers to ensure preventative remediation actions and architectural fixes are prioritized in development sprints.
• Champion rigorous Problem Management lifecycle processes, ensuring underlying technical root causes are permanently resolved rather than relying on recurring operational workarounds.

• Lead operational readiness and stability gating for major production releases, data pipeline upgrades, and infrastructure changes.

• Lead operational readiness and stability gating for major production releases, data pipeline upgrades, and infrastructure changes.
• Conduct technical risk evaluations of complex changes—including SQL/Stored Procedures, Autosys job dependency chains, and Spark/Hadoop execution parameters—to prevent release-induced production failures.
• Direct operational resiliency exercises, including Continuity of Business (COB) / Disaster Recovery (DR) testing, cross-data center failover validations, and resiliency drills.

• Partner with Core Engineering, DBA, and Big Data platform administrators on query execution plans, indexing strategies, Spark cluster configuration, and data lifecycle management.

• Partner with Core Engineering, DBA, and Big Data platform administrators on query execution plans, indexing strategies, Spark cluster configuration, and data lifecycle management.
• Ensure end-to-end batch SLA compliance for critical data flows—from upstream trade feeds (Securities, Financing, Derivatives) through transformation engines to downstream regulatory and liquidity reporting outputs.
• Identify continuous service improvement (CSI) initiatives, driving workflow automation, health checks, and process enhancements across the production ecosystem.

• Education: Bachelor’s or master’s degree in computer science, Information Technology, Engineering, or a related field.

• Education: Bachelor’s or master’s degree in computer science, Information Technology, Engineering, or a related field.
• Experience: 12+ years of progressive experience in Information Technology within Financial Services, Investment Banking, or FinTech, with demonstrated leadership in Application Stability Management, Production Management, or Technical Service Delivery.

• Enterprise Databases & SQL: Strong architectural and diagnostic knowledge of relational databases (MSSQL, Oracle), Stored Procedures, index optimization, query execution plan analysis, and ETL processes (SSIS/SSRS).

• Enterprise Databases & SQL: Strong architectural and diagnostic knowledge of relational databases (MSSQL, Oracle), Stored Procedures, index optimization, query execution plan analysis, and ETL processes (SSIS/SSRS).
• Big Data & Distributed Systems: Solid understanding of data pipelines and processing architectures across Hadoop ecosystems (HDFS, Hive, Spark) and message brokers (Kafka, IBM MQ).
• Operating Systems & Job Scheduling: Advanced knowledge of Unix/Linux environments, shell scripting/Python automation, and enterprise job scheduling topologies (Autosys).
• Monitoring & Telemetry: Proven track record implementing or governing enterprise application performance monitoring (APM) and alerting tools (e.g., ITRS Geneos, Splunk, AppDynamics, Dynatrace, Grafana).
• Infrastructure Architecture: Strong working knowledge of enterprise infrastructure topologies, high-availability setups, network connectivity, storage, and containerized deployment concepts (Docker/Kubernetes/OpenShift).

• Deep domain understanding of Capital Markets / Investment Banking , including:
• Secured Financing, Repo, Securities Lending, and Prime Brokerage
• Liquidity Management & Regulatory Reporting (e.g., LCR, NSFR, FR2052a, Intraday Liquidity)
• Financial instruments & trade lifecycle across Equities, Fixed Income, Derivatives, and Rates
• Standard financial identifiers (CUSIP, ISIN, RIC) and front-to-back trade/cash flow lifecycles