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# VP Technology - Software Engineering

- **Company:** Elsevier B.V.
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software as a Service, Cloud Engineering, DevOps, Software Engineering
- **Published:** July 1, 2026
- **Apply:** https://relx.wd3.myworkdayjobs.com/ElsevierJobs/job/London-Wall/VP-Technology---Software-Engineering_R115378

## About the Role

* 15+ years' experience in software engineering, including senior leadership roles

 * Proven track record delivering complex SaaS platforms at scale

 * Experience embedding AI, data, or automation capabilities into products or engineering workflows

 * Strong background in cloud-native architectures and modern engineering practices

 * Demonstrated success leading large, global engineering teams (100+)

 * Ability to translate technical strategy into measurable business and customer outcomes

 * Strong stakeholder leadership across product, data, and commercial functions

 * Experience integrating products, platforms, and data, including through acquisition is desirable

## Description

This is a portfolio-wide engineering leadership role responsible for strategy, delivery, and operations across a global suite of SaaS platforms.

Reporting to the CTO and leading ~120 engineers, you will drive a shift toward an AI-enabled, automated engineering and product model, improving how we build software and how our products deliver value to customers.

You will work closely with product leadership to translate strategy into scalable, secure, and high-performing platforms used by institutions worldwide.

Key Deliverables & Success Metrics

 * Define and execute an engineering strategy aligned to portfolio and product priorities

 * Evolve the organisation toward an AI-first operating model, improving developer effectiveness and delivery speed

 * Deliver data-centric solutions with embedded intelligence that enhance workflows and decision-making

 * Improve scalability, reliability, and integration across the portfolio

 * Build a high-performing, globally distributed engineering organisation

Responsibilities

 * Set and deliver the multi-year engineering roadmap in partnership with product and technology leadership

 * Lead the development of cloud-native SaaS platforms supporting complex, workflow-driven use cases

 * Introduce AI-assisted development practices and tooling to improve speed, quality, and efficiency

 * Drive integration of products, platforms, and data, including post-acquisition alignment and simplification

 * Establish scalable data and platform foundations to support analytics, automation, and future AI use cases

 * Standardize engineering practices, architecture, and tooling across teams to reduce fragmentation

 * Ensure strong governance, security, and regulatory compliance across global markets

 * Partner with product, UX, and commercial teams to deliver end-to-end customer outcomes

 * Build and develop a global engineering organisation, strengthening leadership capability and technical depth
 * Operate effectively in a matrixed environment, influencing senior stakeholders and driving execution


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