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Sr Director, Platform Engineering – Data Platform & Agentic Platform

Job in Nottingham, Nottinghamshire, NG1, England, UK
Listing for: LexisNexis Risk Solutions
Full Time position
Listed on 2026-07-27
Job specializations:
  • Software Development
    Software Architect, DevOps
Job Description & How to Apply Below
## Sr Director, Platform Engineering – Data Platform & Agentic Platform Apply locations:
Farringdontime type:
Full time posted on:
Posted Todayjob requisition :
R116059

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 Lexis Nexis 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 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
* Implement security controls, access governance, encryption, and audit requirements in partnership with Info Sec while ensuring enterprise SDLC, vulnerability management, and change management compliance
** 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, including reliability discipline (SLOs), observability, and incident management
* 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 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.…
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