Engineering Director, AI-Driven Research Analytics

relx; Greater London; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Flexible working hours

Wellbeing initiatives

Parental leave

Study assistance

Sabbaticals

Job summary

Elsevier is seeking an Engineering Director to lead SciVal, our research-analytics platform, overseeing scaled, secure, data-intensive analytics. You will partner with Product, Data, Architecture, Security and UX to shape strategy, modernise capabilities, and enable AI-assisted experiences for customers.

You will drive engineering excellence, grow technical talent, and deliver roadmaps that support discovery solutions across global teams.

Qualifications

• Experience in software engineering, leading managers and distributed teams across multiple geographies/time zones.
• Large-scale, data-intensive software products in production.
• Setting technical strategy and delivering technology roadmaps.
• Introducing AI-assisted development practices across engineering teams.
• Excellent communication, planning, influencing and stakeholder-management skills.
• Experience with data ingestion, transformation, indexing and query optimisation.
• Understanding of search, discovery and graph-based data relationships in research domains.
• Experience delivering AI-enabled product capabilities such as summarization and intelligent search.

Responsibilities

• Lead SciVal'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.
• 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 and security.

Skills

Engineering leadership

Distributed teams

Technical strategy

Stakeholder management

AI adoption

Job description

Elsevier is seeking an Engineering Director to lead SciVal, our research-analytics platform, overseeing scaled, secure, data-intensive analytics. You will partner with Product, Data, Architecture, Security and UX to shape strategy, modernise capabilities, and enable AI-assisted experiences for customers.

You will drive engineering excellence, grow technical talent, and deliver roadmaps that support discovery solutions across global teams.