Director Software Engineering
Role Overview
Director of Software Engineering supporting SciVal, Elsevier’s research-analytics platform.
Lead multiple engineering teams delivering a scalable, secure and data-intensive analytics platform.
Partner with Product, Data, Architecture, Quality Engineering, Security, UX and commercial stakeholders.
Drive engineering excellence, technical talent development and delivery of technology roadmaps.
Key Skills for This Role
Full Job Posting
About the role
Director of Software Engineering supporting SciVal, Elsevier’s research-analytics platform.
Lead multiple engineering teams delivering a scalable, secure and data-intensive analytics platform.
Partner with Product, Data, Architecture, Quality Engineering, Security, UX and commercial stakeholders.
Drive engineering excellence, technical talent development and delivery of technology roadmaps.
About SciVal
SciVal helps universities, research institutions and funding organisations evaluate research performance and collaboration networks.
The platform supports research analytics and discovery using connected research data, including Scopus.
Responsibilities
- Lead engineering strategy and technical direction across 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, prioritisation and execution across multiple engineering teams and programmes.
- Maintain standards for quality, testing, releases, observability, security and operational resilience.
- Lead platform modernisation and adoption of shared technology foundations.
- Enable AI-assisted and agent-ready research analytics experiences.
Requirements
- Significant software engineering leadership experience across distributed teams and multiple geographies.
- Experience delivering large-scale, data-intensive software products in production.
- Success setting technical strategy and delivering technology roadmaps.
- 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.
- Experience delivering AI-enabled product capabilities and adopting AI in software development lifecycle streams.
Technical domains
- Analytics-driven systems, knowledge graphs and metadata-rich datasets.
- APIs, metadata, data contracts and MCP-compatible interfaces for AI-agent access.
- Technical debt, production incidents, operational risk and cloud-cost efficiency.
Working pattern
- The organisation promotes flexible hours so employees can adjust working times during the day.
Benefits
- Benefits include wellbeing initiatives, shared parental leave, study assistance and sabbaticals.
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