Description
We are looking for a Senior Engineering Manager to lead the engineering teams that power Commodities Content Operations in LSEG. This role sits at the intersection of Engineering, Product, Data and Operations, with responsibility for modernising platforms, improving data quality and reliability and accelerating the adoption of AI-driven and cloud-based capabilities across content operations.
You will lead teams responsible for the applications, platforms and automation capabilities that support the onboarding, management, transformation and distribution of Commodities pricing and fundamental data. The role combines people leadership, engineering strategy, platform modernisation and operational excellence.
Responsibilities
- Lead and develop high-performing software and data engineering teams.
- Define and implement engineering roadmaps aligned to business, product and customer priorities.
- Drive modernisation of legacy applications and services while ensuring operational stability.
- Partner with Content Operations, Product, Data Strategy, Engineering and Architecture teams to deliver scalable and resilient solutions.
- Build platforms and automation capabilities that improve operational efficiency, data quality and customer outcomes.
- Establish standard methodologies across software engineering, DevOps, observability and service management.
- Drive adoption of AI and intelligent automation to reduce manual effort and improve productivity.
- Develop and implement technical debt reduction strategies, including application rationalisation, code modernisation and technology upgrades.
- Improve platform reliability, resilience, monitoring and recovery capabilities.
- Foster an engineering culture focused on innovation, teamwork, accountability and continuous improvement.
Technology Environment
- Microsoft Azure and cloud-native services
- Databricks and modern data platforms
- Python and API-driven architectures
- Data engineering and large-scale data processing pipelines
- CI/CD, DevOps and Infrastructure-as-Code practices
- Observability and monitoring platforms such as Datadog
- AI, automation and intelligent workflow solutions
- Legacy platform modernisation and cloud migration programmes
Requirements
- Significant experience leading software, platform or data engineering teams (6-7 years).
- Proven success delivering large-scale technology transformation and modernisation initiatives.
- Strong understanding of software engineering, cloud technologies, platform engineering and operational resilience.
- Experience managing technical debt, application lifecycle management and engineering risk.
- Experience working across modern cloud and data platforms (Azure, Databricks), software engineering technologies (Python), DevOps and observability tooling (CI/CD, Datadog), APIs, distributed data architectures, and large-scale platform modernisation programmes is highly desirable.
- Experience in AI and emerging technologies, with experience identifying and applying innovations such as generative AI, intelligent automation and advanced analytics to improve engineering productivity, data quality, operational efficiency and customer outcomes.
- Strong stakeholder management skills and the ability to influence across Engineering, Product and Business teams.
- Experience building and developing high-performing engineering organisations.
- Passion for innovation, customer outcomes and continuous improvement.
Benefits
- Healthcare
- Paid volunteering days
- Wellbeing initiatives