# Senior Engineering Manager, Index Build at LSEG

AI Level 1, AI centrality 24 out of 100. Charlotte, United States.

## Details

- Company: [LSEG](https://jobsbylevel.com/companies/lseg)
- AI level: AI Level 1 (score 24 out of 100)
- Location: Charlotte, United States
- Posted: October 7, 2026
- Apply: https://jobsbylevel.com/go/0e2d4e6c-b6a1-48cb-b00d-699cecd4d94e

## Description

Senior Engineering Manager, Index Build Key Functions: As a Senior Engineering Manager in Benchmark & Index Management, the individual will be responsible for leading globally distributed engineering teams delivering and operating business-critical technology platforms supporting index management and operational workflows. The role combines engineering leadership, technical and architectural oversight, delivery accountability and people development. The candidate will work closely with Product, Operations, Index Delivery & Management, Architecture and Technology partners to deliver strategic capabilities, modernize existing platforms and continuously improve engineering quality, resilience and effectiveness. Key Responsibilities: · Hands-on engineering leader who builds and scales globally distributed teams, driving the development of resilient, high-performance platforms that enable the end-to-end index lifecycle while partnering with Product and Operations to deliver commercial outcomes · Owns the end-to-end engineering delivery of scalable, resilient, secure and highly available technology solutions supporting index management and operational workflows · Provides technical and architectural direction for new capabilities, platform modernization and complex engineering decisions · Ensures solutions are designed and delivered in line with agreed engineering standards for maintainability, scalability, security, performance and operational resilience · Drives the modernisation of legacy platforms and adoption of cloud-native architecture where this provides clear business and technology benefit · Establishes and continuously improves engineering practices covering software design, coding standards, code reviews, automated testing, CI/CD, observability, security and automation · Ensures appropriate testing and quality controls are embedded throughout the software delivery lifecycle · Guides teams in the effective design and implementation of APIs, microservices, event-driven architectures, data processing solutions and enterprise integrations · Drives the responsible adoption of AI-assisted engineering, Generative AI, agentic AI and intelligent automation where these can improve engineering productivity, software quality, user experience or operational efficiency · Partners with Product Managers, Operations, Index Delivery & Management, Architecture, UX and other stakeholders to translate business priorities into pragmatic technology solutions and delivery plans · Balances strategic transformation and new capability delivery with the reliability, support and continued evolution of existing business-critical platforms · Communicates technical strategy, delivery progress, risks and complex engineering decisions clearly and effectively to technical and non-technical audiences · Builds a high-performing engineering culture centered on ownership, accountability, collaboration, engineering excellence and continuous improvement · Mentors and develops engineers, technical leads and engineering managers, strengthening technical capability, leadership depth and succession across the organization Experience & Skills: · 15+ years of extensive proven experience in software engineering, including the design, development and operation of large-scale, business-critical applications in an enterprise environment · Proven experience leading and developing engineering teams responsible for complex technology products and platforms · Strong technical depth with the ability to provide credible architectural guidance and challenge engineering decisions constructively · Strong experience designing scalable, high-performance, data-intensive applications, data processing solutions and ETL/ELT pipelines · Strong knowledge of database modelling, design, performance tuning and optimization, with hands-on experience in relational database platforms such as SQL Server, PostgreSQL, Oracle, MySQL or similar, including SQL development and query optimization. •

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