Are you excited by the opportunity to define how AI systems consume and interact with market intelligence at scale?
Can you shape the standards, primitives, and distribution models that enable AI-native products across a global business?
About the Business
At ICIS, our mission is to optimize the world's resources. We help companies make strategic, sustainable decisions by bringing transparency to markets across the world. We create a comprehensive view of commodities markets, providing companies with the data and intelligence to successfully navigate across global value chains every day. Our customers benefit from instant access to price assessments, reports and forecasts, a dedicated news channel, and supply and demand data. You can learn more about ICIS at https://www.icis.com/explore.
About our Team
Our teams are fuelled by curiosity, relentlessly pursuing better customer outcomes. We're on a mission to deliver an unparalleled customer experience, excelling in communication. In a fast-paced environment, we thrive, embracing change with flexibility and composure under pressure. Our high-energy, self-motivated individuals are driven by a genuine desire to make a positive mark on our business. But that's not all - we're creative problem solvers with an entrepreneurial spirit.
About the Role
ICIS is building the AI capability that will define how chemical markets get intelligence, and this role owns the platform foundations that make it possible. You will define the AI-ready data strategy, semantics layer, and MCP-first distribution approach that powers internal product teams, partner integrations, and AI-native customer experiences. This is a highly influential individual contributor role where you will shape platform standards, drive adoption, and help establish how ICIS delivers trusted market intelligence through AI.
Responsibilities
- Own the platform mission and roadmap for AI-ready data, semantics, and MCP-first distribution
- Define the standards, data contracts, schemas, versioning, deprecation approaches, and quality measures that underpin AI-ready data across ICIS
- Evaluate customer signals and identify which repeatable workflows should become platform primitives, which remain bespoke, and which should be retired
- Drive adoption of platform primitives across internal product teams, measuring success through usage and business impact
- Shape AI-native distribution strategy, including protocols, channels, integrations, and commercial approaches
- Lead the AI-ready data and content operations platform squad, providing direction and alignment without direct people management responsibility
- Co-author the operating model for scalable AI platforms, including evaluation, oversight, lineage, and responsible AI capabilities
- Partner with internal and external stakeholders to accelerate adoption, integrations, and commercial opportunities
Requirements
- A track record shipping platform capabilities that others build upon, such as APIs, data products, semantic layers, evaluation frameworks, or comparable platform primitives
- Experience owning platform strategy, roadmap, and delivery outcomes in data, AI, developer platform, or similarly technical product environments
- Technical credibility to contribute to architecture discussions and evaluate approaches across areas such as RAG, evaluations, agents, tool use, MCP, and data platforms
- Recent hands-on experience working with AI tooling through prototypes, integrations, agents, tools, or related practical applications
- Experience influencing decisions in a matrixed organisation and working effectively with senior stakeholders across engineering, data science, commercial, legal, and executive teams
- Strong product judgement with the ability to translate customer and operational feedback into scalable platform direction
- Comfort navigating ambiguity, creating structure where needed, and driving platform adoption at scale
- Experience with semantic technologies, AI/data interoperability protocols, AI platform integrations, or major data distribution ecosystems is beneficial
Why This Role is Different
- This is platform product ownership focused on shipping reusable capabilities, driving measurable adoption, and creating commercial impact through AI-native channels
- You will work directly with the VP Product Management and leadership across ICIS to help shape how the AI operating model evolves at ICIS, including how platform capabilities support delivery squads, products, and partner integrations
- The AI-native distribution strategy is a strategic investment by ICIS, and this role is central to bringing that vision to life
- As the platform capability expands, progression opportunities may include deeper individual contributor leadership, broader platform ownership, or future leadership opportunities within the growing AI platform organisation
How You Work with the Rest of the Organisation
- Partner closely with forward-deployed squads, using customer signals and real-world workflows to prioritise platform primitives and capabilities
- Enable adoption across the wider ICIS product estate through office hours, enablement activities, and stakeholder engagement
- Collaborate with external partners across AI platforms and data distribution channels, helping shape commercial and technical integration strategies
- Act as a credible platform spokesperson when engaging with customers on AI-native distribution, MCP integrations, and platform capabilities, supporting commercial conversations alongside Sales teams
Risk benefit statement
Learn more about the LexisNexis Risk team and how we work https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000 1
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Skills Required
- Track record shipping platform capabilities that others build upon, including APIs, data products, semantic layers, evaluation frameworks, or comparable platform primitives
- Experience owning platform strategy, roadmap, and delivery outcomes in data, AI, developer platform, or similarly technical product environments
- Technical credibility to contribute to architecture discussions and evaluate RAG, evaluations, agents, tool use, MCP, and data platform approaches
- Recent hands-on experience working with AI tooling through prototypes, integrations, agents, tools, or related practical applications
- Experience influencing decisions in a matrixed organization and collaborating with engineering, data science, commercial, legal, and executive stakeholders
- Strong product judgment and ability to translate customer and operational feedback into scalable platform direction
- Comfort navigating ambiguity, creating structure, and driving platform adoption at scale
- Experience with semantic technologies, AI/data interoperability protocols, AI platform integrations, or major data distribution ecosystems
RELX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.
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Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.
RELX Insights
What We Do
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.
