Head of Engineering Practices & AI-Driven SDLC

RELX Group

Royal Borough of Greenwich

Remote

GBP 140,000 - 180,000

Full time

4 days ago
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Job summary

Elsevier in the United Kingdom is seeking a Director of Engineering Practices to elevate product development by shaping architecture standards, engineering playbooks, and the technical strategy across the software lifecycle. You will partner with chief engineers, architects, and product teams to drive quality, cost efficiency, and innovation using AI-assisted development and modern engineering practices.

Strong leadership, hands-on coding, and the ability to translate complex findings into

Qualifications

  • Strong understanding of modern software engineering practices and AI-assisted development.
  • Ability to translate technical findings into clear recommendations for engineering leadership.
  • Experience delivering complex projects and working directly with customers or internal stakeholders.

Responsibilities

  • Lead the translation of architecture standards into actionable artifacts, tools, plugins, and workflows.
  • Build and maintain tooling that surfaces architectural and quality risks across the SDLC.
  • Stay hands-on with AI coding capabilities, including code reviews and prototyping.
  • Help product teams solve complex technical problems and escalate when needed.
  • Own the technical implementation of decisions by the Architecture Board across the SDLC.
  • Drive adoption of internal engineering platforms and reusable components.
  • Identify emerging technologies and pilot improvements to product development workflows.

Skills

Architecture standards
Engineering best practices
AI-assisted development
SDLC tooling

Tools

Developer tooling
CI/CD pipelines
Architecture governance tools

Job description

Elsevier in the United Kingdom is seeking a Director of Engineering Practices to elevate product development by shaping architecture standards, engineering playbooks, and the technical strategy across the software lifecycle. You will partner with chief engineers, architects, and product teams to drive quality, cost efficiency, and innovation using AI-assisted development and modern engineering practices.

Strong leadership, hands-on coding, and the ability to translate complex findings into

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