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Director Software Engineering

Elsevier
London, GBR
Full-time
Director
Onsite
€110,500 to €184,000 per year
Discovered 1 months ago
Software engineering leadershipTechnical strategyTechnology roadmapsLarge-scale data-intensive software productsData ingestion and transformationIndexing and query optimisation

Full Job Posting

About the Team

SciVal is Elsevier's research-analytics platform for evaluating research performance, benchmarking peers, understanding collaboration networks, and identifying emerging research areas.

SciVal uses trusted connected research data, including Scopus, to support evidence-based strategic decisions.

About the Role

Lead multiple engineering teams delivering a scalable, secure, data-intensive research analytics platform.

Partner with Product, Data, Architecture, Quality Engineering, Security, UX, and commercial stakeholders on technical strategy and platform modernisation.

Enable AI-assisted and agent-ready customer experiences while driving engineering excellence and delivery of technology roadmaps.

Responsibilities

  • Lead engineering strategy and technical direction for SciVal.
  • Define architectural standards for search, data, analytics, APIs, and platform integration.
  • Lead distributed frontend, backend, data, and quality engineering teams.
  • Hire, coach, and develop engineers, engineering managers, and technical leaders.
  • Own workforce planning, succession planning, performance management, and resource allocation.
  • Drive planning and execution across multiple teams and programmes.
  • Maintain engineering standards for quality, testing, releases, observability, security, and resilience.
  • Establish operating models for technical debt, incidents, risk, and partner delivery.
  • Lead platform modernisation and shared foundations to improve scalability, reliability, and cloud-cost efficiency.
  • Communicate technical trade-offs, risks, dependencies, and delivery progress to senior stakeholders.

Requirements

  • Lead engineering managers, engineering leads, and distributed teams across geographies and time zones.
  • Deliver large-scale, data-intensive production software products.
  • Set technical strategy and deliver technology roadmaps.
  • Introduce AI-assisted development practices across engineering teams.
  • Use data ingestion, transformation, indexing, and query optimisation at scale.
  • Understand search, discovery, graph-based data relationships, and research or scholarly domains.
  • Deliver AI-enabled product capabilities and expose data platforms to AI agents through APIs, metadata, or data contracts.

Work in a Way That Works for You

  • Offers wellbeing initiatives, shared parental leave, study assistance, and sabbaticals.
  • Supports flexible working hours.

Compensation

  • If performed in Amsterdam, Netherlands, the base pay range is €110,500 to €184,000 per year.

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