Engineering Service Delivery Manager – Institutional Trading Technology

Key Responsibilities

• Own end-to-end delivery execution for strategic technology programs within the Institutional Trading organization.
• Cook up multiple concurrent engineering workstreams, ensuring alignment across architecture, development, testing, infrastructure, security, and production support teams.
• Work alongside Program Management Office to track program timelines, dependencies, risks, issues, and milestones while providing transparent status reporting to technology and business stakeholders.
• Drive successful execution of large-scale system integrations, platform migrations, and data transformation initiatives.

Engineering Partnership

• Work directly with software engineering teams to translate business and trading requirements into actionable delivery plans.
• Partner with technical leads and architects to ensure solutions align with enterprise standards, scalability requirements, and long-term technology strategy.
• Guide teams through the complete Software Development Lifecycle (SDLC), including requirements, design, development, testing, deployment, and operational readiness.
• Promote Agile and Scrum best practices while helping teams continuously improve delivery effectiveness.

Capital Markets Domain Knowledge

• Deep understanding of Security Master concepts.
• Deep understanding of Transactional Trade data.
• Corporate Bond [HY or IG] Electronic Trading market structure.
• Equity & Equity Option Trading Market Structure.
• Experience in Securities Data Modeling.
• Some understanding of Market Data including Aggregated, Consolidated and Montage books.
• Some Understanding of Post Trade Feed flows including calculations for settlement.
• Understanding of any Regulatory organizations.
• Production Readiness and Operational Excellence.

Technical Leadership

• Provide hands-on leadership when required by analyzing system behavior, troubleshooting data quality issues, and assisting with problem resolution.
• Work with engineering teams to validate data flows, transformations, integrations, and reconciliation processes.
• Promote sound engineering practices, reusable design patterns, automation, and architectural consistency across teams.
• Guide teams toward design decisions that balance current requirements with future flexibility and maintainability.