IT & Software

Sr Director, Platform Engineering – Data Platform & Agentic Platform

RELX Group

Farringdon · United Kingdom · United Kingdom

Overview

In this role you will lead the engineering organization responsible for shared platform capabilities that enable trusted data services and production-grade AI-driven workflows. You will partner with Platform Product Management to ensure scalable, reliable, and secure platforms adopted across product domains, driving high-quality execution. Your work will focus on ingestion, integration, governance, AI workflow guardrails, and enterprise security, with a emphasis on measurable impact and cross-functional collaboration. This is a mission-driven opportunity to shape platforms that empower innovators in a regulated space.

Pay / Benefits
  • healthy work/life balance
  • wellbeing initiatives
  • shared parental leave
  • study assistance
  • sabbaticals
  • flexible hours
Responsibilities
  • Lead delivery of shared platform services and data capabilities used by multiple product domains
  • Translate product requirements into scalable designs and delivery plans
  • Provide capacity forecasts, sequencing, and risk assessments for platform roadmap decisions
  • Build and operate ingestion, integration, and modernization capabilities to improve data trust and reuse
  • Implement canonical data contracts and APIs with versioning and backward compatibility
  • Implement agent workflow platform capabilities aligned to product standards, including traceability and state management
  • Establish production-grade evaluation, observability, auditability, and guardrails for safe AI workflows
  • Implement security controls, access governance, encryption, and audit requirements with InfoSec and ensure SDLC and vulnerability management compliance
Key requirements
  • 12+ years leading platform engineering with production operations accountability
  • Proven success with platforms adopted by multiple product teams, including reliability and incident management
  • Strong hands-on leadership in distributed systems and platform engineering
  • Deep experience with data platform engineering at scale (ingestion, integration, data quality, metadata and lineage, secure access)
  • Experience enabling AI-powered systems in production (evaluation, monitoring, observability, auditability, guardrails)
  • Ability to partner with product leaders on contract-driven platforms and deliver outcomes
  • Proven ability to hire and develop high-performing engineering teams including AI platform engineers
  • Experience building AI workflow platforms or shared AI services; familiarity with regulated/high-trust systems advantageous
  • leadership
  • cross-functional collaboration
  • strategic thinking
  • distributed systems
  • platform engineering
  • data platform engineering at scale

Reference: WJ-747_30144234

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