Principal Product Manager, AI

RELX•Houston, TX

About The Position

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.

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

Nice To Haves

Experience with semantic technologies, AI/data interoperability protocols, AI platform integrations, or major data distribution ecosystems is beneficial

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