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Salary
≈ $119k – $224k per year (Estimated)
Location
In office (London)
Seniority
Senior · 12+ years exp
Visa
Licensed UK visa sponsor
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Aug 3, 2026. RELX scores A on the Alion truth index.

Overview
Company
Impact
Profile match
RELX is a British information and analytics group formed in 1993 through the merger of Reed International and the Dutch publisher Elsevier, and it has since converted a print publishing business into a subscription data company. It operates four divisions: Elsevier in scientific and medical research, risk analytics covering insurance and financial crime screening, legal information through LexisNexis, and the exhibitions business RX. Headquartered in London and listed in London, Amsterdam and New York, it derives the large majority of revenue from electronic products and analytics rather than print.

Are you passionate about building scalable platforms that power data-driven innovation and AI-enabled solutions?

Do you enjoy leading high-performing engineering teams and delivering reliable, secure, and impactful platform capabilities at scale?

About our Team

At LexisNexis Intellectual Property Solutions, our mission is to bring clarity to innovation by delivering better outcomes to the innovation community. Each and every day, the work our team does supports the development of new technologies and processes that ultimately advance humanity. Helping our customers reach their goals is our primary focus. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations and ultimately achieve superior results. Our overall success is measured by how well we deliver these results. We are proud to directly support and serve these innovators in their endeavors to better humankind.

About the Role

As Senior Director, Platform Engineering - Data Platform & Agentic Platform, you will lead the engineering organization responsible for delivering and operating internal shared platform capabilities that enable trusted data services and production-grade AI-driven workflows. Working closely with Platform Product Management, you will help ensure platforms are scalable, reliable, secure, and widely adopted across product domains while supporting innovation through high-quality engineering execution.

Responsibilities

  • Lead engineering delivery for shared platform services and data capabilities consumed by multiple product domains
  • Translate product-defined platform requirements into scalable technical designs and executable delivery plans
  • Provide capacity forecasts, sequencing options, and delivery risk assessments to support platform roadmap decisions and domain commitments
  • Build and operate ingestion, integration, and modernization capabilities that improve consistency, trust, and reuse of IP data across domains
  • Implement canonical data contracts and APIs as defined through governance, including versioning and backward compatibility mechanisms
  • Implement and operate agent workflow platform capabilities aligned to product-defined standards and interfaces, including traceability, state handling, and convergence patterns
  • Implement production-grade evaluation, observability, auditability, and guardrail mechanisms required for safe AI workflows

Requirements

  • 12+ years leading platform engineering teams delivering shared services or large-scale SaaS systems with production operations accountability
  • Demonstrated success building and operating platforms adopted by multiple product teams.
  • Strong hands-on technical leadership background in distributed systems and platform engineering
  • Deep experience with data platform engineering at scale, including ingestion and integration patterns, data quality enforcement, metadata and lineage, and secure access controls
  • Experience enabling AI-powered systems in production, including evaluation, monitoring, observability, auditability, and guardrails
  • Strong ability to partner with product leaders on contract-driven platforms and deliver outcomes without creating bottlenecks
  • Proven capability to hire and develop high-performing engineering teams, including AI platform engineers
  • Experience building Internal AI workflow platforms or shared AI platform services, including orchestration and production-grade monitoring; familiarity with runtime safety patterns and operating regulated or high-trust systems is advantageous

Work in a Way That Works for You

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working Pattern

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

About the Business

LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Clickhereto access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scamshere.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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