Engineering Director: AI-Driven Analytics Platform

Elsevier; Greater London; On-site; GBP 95,000 - 158,000; Full time

Job summary

Elsevier is seeking an Engineering Director for SciVal to lead multiple teams delivering a scalable, secure, data-intensive analytics platform and to partner with Product, Data, Architecture, Security and UX to shape strategy and modernise capabilities.

You will hire and develop technical leaders, drive roadmaps, and champion AI-enabled experiences for researchers, while ensuring governance, cost efficiency and reliable delivery across geographies.

Qualifications

• Experience leading engineering managers and distributed teams across geographies.
• Proven track record delivering large-scale data-intensive software.
• Experience defining technical strategy and delivering roadmaps.
• Experience introducing AI-enabled development practices across engineering teams.

Responsibilities

• Lead SciVal's engineering strategy and technical direction.
• Define architectural standards across search, data, analytics, APIs and platform integration.
• Balance engineering excellence, innovation, cost efficiency and pragmatic delivery.
• 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.

Skills

Engineering leadership

Technical strategy

AI adoption

Distributed teams

Job description

Elsevier is seeking an Engineering Director for SciVal to lead multiple teams delivering a scalable, secure, data-intensive analytics platform and to partner with Product, Data, Architecture, Security and UX to shape strategy and modernise capabilities.

You will hire and develop technical leaders, drive roadmaps, and champion AI-enabled experiences for researchers, while ensuring governance, cost efficiency and reliable delivery across geographies.