Sr Director, Platform Engineering – Data Platform & Agentic Platform

HPCC Systems

United Kingdom

Remote

GBP 150,000 - 190,000

Full time

14 days+

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Job summary

LexisNexis Intellectual Property Solutions is seeking a Sr Director of Platform Engineering to lead the data and agentic platform initiatives. You will drive scalable platform delivery, partner with product management, and ensure security, reliability, and adoption across domains.

You will shape canonical data contracts, governance, and AI workflow capabilities while mentoring senior engineers and aligning with enterprise SDLC and compliance demands.

Qualifications

  • 12+ years leading platform engineering teams delivering shared services or large-scale SaaS systems with production operations accountability.
  • Success building platforms adopted by multiple product teams with reliability discipline (SLOs), observability, and incident management.
  • Hands-on leadership in distributed systems and platform engineering.
  • Deep data platform experience: ingestion, integration, data quality, metadata, lineage, and secure access.
  • Experience enabling AI-powered production systems with monitoring, guardrails, and auditability.
  • Ability to partner with product leaders on contract-driven platforms and avoid bottlenecks.
  • Proven ability to hire and develop AI platform engineers; familiarity with AI workflow platforms.

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 roadmaps.
  • Build and operate ingestion, integration, and modernization capabilities for IP data across domains.
  • Implement canonical data contracts and APIs with governance, versioning, and backward compatibility.
  • Implement and operate agent workflow platform capabilities aligned to product interfaces, including traceability and state handling.
  • Implement production-grade evaluation, observability, auditability, and guardrail mechanisms for safe AI workflows.
  • Implement security controls, access governance, encryption, and audit requirements with InfoSec compliance.

Skills

Platform leadership
Distributed systems
SaaS platforms
Data platform
AI workflows
Security governance

Job description

## Sr Director, Platform Engineering – Data Platform & Agentic PlatformApplylocations: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R116059Are 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 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 InfoSec 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. 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. Click** **here** **to 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 scams** **here****.**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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