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Data Discovery and Enrichment Expert – Intelligence Lead

Job in Farringdon, London, Greater London, W1B, England, UK
Listing for: LexisNexis Risk Solutions
Full Time position
Listed on 2026-09-13
Job specializations:
  • Business
    AI Evaluation
Salary/Wage Range or Industry Benchmark: 70000 - 120000 GBP Yearly GBP 70000.00 120000.00 YEAR
Job Description & How to Apply Below
Position: Data Discovery and Enrichment Expert – SEP Intelligence Lead
Location: Farringdon

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 a Senior Data Discovery and Enrichment (DDE) Expert III, you will independently lead complex data discovery and enrichment projects and are recognized as a leader in your domain. You will define and implement the methodologies, best practices, and governance that underpin Lexis Nexis IP Solutions' SEP content expansion, and apply your proven AI experience to guide the development of agentic capabilities across our IPlytics and Protégé platforms.

Responsibilities
  • Acts as primary driver of Data Discovery and Enrichment projects and results for SEP and standards-related content, in direct support of LNIP's SEP content expansion
  • Define and maintain the quality evaluation standard for SEP question classes — essentiality assessment, royalty range analysis, FRAND exposure, and SEP portfolio intelligence — against which all AI model outputs are measured
  • Author acceptance criteria for new AI capabilities before engineering begins; participate in sprint planning as a named quality authority
  • Build and maintain the curated evaluation question set used across all 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 — AI updates that degrade quality below the defined bar do not proceed to production
  • Define and maintain the methodology for SEP landscape construction — including technology scoping, classification logic, and completeness criteria — and deliver bespoke landscape engagements for high-value customer projects; own the quality benchmark against which automated landscape generation will be measured as classification technology matures
  • Lead quarterly structured sessions with FRAND practitioners, licensing executives, and patent pool representatives to surface new failure modes and keep evaluation criteria aligned with practitioner expectations
  • Collaborate with Product Management, Engineering, and Data Science teams as a quality authority throughout the product development lifecycle
Requirements
  • Recognized expertise in Data Discovery and Enrichment, with a track record of leading taxonomy, classification, or content enrichment projects independently
  • Direct practitioner experience in one or more of the following: 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 one or more major standards bodies and their associated patent ecosystems: 3

    GPP/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
  • Comfortable working across engineering, product, and legal functions without relying on formal authority
  • Bachelor's degree in engineering, computer science, law, or a…
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