At a Glance
- Tasks: Lead the development of AI strategies and platform foundations for chemical market intelligence.
- Company: ICIS, a leader in chemical market intelligence with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team driving cutting-edge solutions in a fast-paced environment.
- Why this job: Shape the future of AI in chemical markets and make a significant impact.
- Qualifications: Experience in AI, data strategy, and strong leadership skills.
The predicted salary is between 59400 - 72600 £ per year.
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.
AI Platform Product Lead: Data, Semantics & Distribution employer: Talent Octopusventures
At LexisNexis Special Services Inc., we pride ourselves on being an exceptional employer, particularly for our Pattern Analysts who play a crucial role in supporting national security and law enforcement missions. Our collaborative work culture fosters innovation and professional growth, offering employees access to cutting-edge analytical tools and methodologies while working alongside a multidisciplinary team in the dynamic Washington, DC area. With a commitment to employee well-being, we provide competitive benefits and opportunities for continuous learning, making LNSSI a rewarding place to advance your career in data-driven intelligence.
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We think this is how you could land AI Platform Product Lead: Data, Semantics & Distribution
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We think you need these skills to ace AI Platform Product Lead: Data, Semantics & Distribution
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