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Director Software Engineering

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Relx Plc
Full Time position
Listed on 2026-09-30
Job specializations:
  • Software Development
    Software Architect, Software Project Mgr/ Lead
Salary/Wage Range or Industry Benchmark: 150000 - 210000 GBP Yearly GBP 150000.00 210000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

## Director Software Engineering Apply:
UK - London (London Wall):
NLD Amsterdam (Radarweg):
Full time:
Posted 10 Days Ago:
R118404
* Are you passionate about leading large-scale engineering organisations and shaping the future of research analytics through data, AI and modern platform engineering?
** Do you enjoy developing engineering leaders, driving technical strategy, and delivering innovative solutions that help researchers make better decisions?
*** About our Team
** Sci Val is Elsevier’s research-analytics platform. It helps universities, research institutions and funding organizations evaluate research performance, benchmark against peers, understand collaboration networks, identify emerging research areas, and support evidence-based strategic decisions. Sci Val is built on trusted, connected research data, including Scopus. Learn more about Sci Val.
** About the Role
** As an Engineering Director supporting Sci Val, you will lead multiple engineering teams responsible for delivering a scalable, secure, and data-intensive analytics platform. You will partner closely with Product, Data, Architecture, Quality Engineering, Security, UX and commercial stakeholders to shape technical strategy, modernise platform capabilities, and enable AI-assisted and agent-ready experiences for customers.

You will play a key leadership role in driving engineering excellence, developing technical talent, and ensuring the successful delivery of technology roadmaps that support research analytics and discovery solutions.
** Responsibilities
* ** Lead Sci Val’s engineering strategy and technical direction in partnership with Product, Data and Architecture.
* Define and uphold architectural standards across search, data, analytics, APIs and platform integration, aligned with Elsevier governance.
* Balance engineering excellence, innovation, cost efficiency and pragmatic delivery across the platform.
* Lead distributed engineering teams across frontend, backend, data and quality engineering.
* Hire, coach and develop high-performing engineers, engineering managers and technical leaders.
* Own workforce planning, succession planning, performance management and resource allocation.
* Drive planning, prioritisation and execution across multiple engineering teams and programmes.
* Maintain strong engineering standards for code quality, testing, release management, observability, security and operational resilience.
* Establish clear operating models for technical debt, production incidents, operational risk and partner delivery.
* Lead platform modernisation, consolidation and adoption of shared technology foundations to improve scalability, reliability and cloud-cost efficiency.
* Partner with Product, UX, Data and customers to improve Research Analytics workflows and enable AI-assisted, agent-ready experiences.
* Communicate technical trade-offs, dependencies, risks and delivery progress clearly to senior stakeholders and roadmap forums.
** Requirements
* ** Experience in software engineering, including significant experience leading engineering managers, engineering leads and distributed teams across multiple geographies and time zones.
* Proven experience delivering large-scale, data-intensive software products in production.
* Demonstrated success setting technical strategy and delivering technology roadmaps.
* Demonstrated experience introducing AI-assisted development practices across engineering teams.
* Excellent communication, planning, influencing and stakeholder-management skills.
* Experience with large-scale data ingestion, transformation, indexing and query optimisation.
* Understanding of search, discovery and graph-based data relationships, particularly within research and scholarly domains.
* Familiarity with…
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