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RELX

Global information analytics and decision tools

Data Discovery and Enrichment Expert – SEP Intelligence Lead

Data ManagementUpdated on Nov 5
Full-time€71.6k - €119.4kIn-person

About the Job

Requirements

  • Recognized expertise in Data Discovery and Enrichment, with a track record of independently leading taxonomy, classification, or content enrichment projects.
  • Direct practitioner experience in at least one of FRAND licensing or negotiation, technical SEP essentiality analysis, or SEP portfolio management at a patent holder, implementer, law firm, or patent pool.
  • Working knowledge of at least one major standards body and its associated patent ecosystem: 3GPP/ETSI (4G/5G), IEEE (Wi-Fi, Ethernet), MPEG or AOM video codecs, JEDEC, or ITU.
  • Experience analyzing patent portfolios at scale, not only individual patents.
  • Ability to articulate technical quality judgments in precise written form suitable for evaluation calibration and governance documentation.
  • Ability to work across engineering, product, and legal functions without relying on formal authority.
  • Bachelor's degree in engineering, computer science, law, or a related technical field, or equivalent professional experience.

Responsibilities

  • Act as the primary driver of Data Discovery and Enrichment projects and results for SEP and standards-related content, directly supporting SEP content expansion.
  • Define and maintain quality evaluation standards for SEP question classes—including essentiality assessment, royalty range analysis, FRAND exposure, and SEP portfolio intelligence—against which AI model outputs are measured.
  • Author acceptance criteria for new AI capabilities before engineering begins and participate in sprint planning as a named quality authority.
  • Build and maintain the curated evaluation question set used across automated testing and release governance regimes.
  • Calibrate automated evaluation systems by reviewing AI outputs against expert judgment and documenting overrides with traceable reasoning.
  • Hold release gate authority for SEP question classes, preventing AI updates that fall below the defined quality bar from proceeding to production.
  • Define and maintain the methodology for SEP landscape construction, including technology scoping, classification logic, and completeness criteria; deliver bespoke landscape engagements for high-value customer projects; and own the quality benchmark for automated landscape generation as classification technology matures.
  • Lead quarterly structured sessions with FRAND practitioners, licensing executives, and patent pool representatives to identify new failure modes and align evaluation criteria with practitioner expectations.
  • Collaborate with Product Management, Engineering, and Data Science teams as a quality authority throughout the product development lifecycle.

About the Company

RELX

Global information analytics and decision tools

RELX is a global provider of information-based analytics and decision tools for professionals across scientific, technical, medical, legal, risk, business, and exhibitions industries. It operates in four segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions. Its products combine large datasets, analytics, and decision-support tools to help researchers, healthcare professionals, lawyers, and business leaders make informed choices, improve productivity, and achieve better outcomes. Revenue mainly comes from subscriptions, with additional income from transactional sales and advertising. RELX differentiates itself through its deep data assets, specialized industry knowledge, and multi-segment offerings that span content, analytics, and decision-support services. The company pursues a goal of delivering trusted information and insights while supporting corporate responsibility and alignment with the UN SDGs through its products and partnerships.

Company size
1,001-5,000
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1894

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