Head of Intelligence Products (AI)

TL;DR

Head of Intelligence Products (AI): Defining and leading the vision for AI-enabled enterprise data platforms with an accent on scalable intelligence systems for security-sensitive environments. Focus on designing AI-ready data architectures, integrating LLMs and RAG, and establishing governance for knowledge graphs and semantic models.

Location: Must be based in the United States (Remote)

What you will do

• Define the overall intelligence products strategy, platform vision, and long-term evolution of enterprise AI data systems.
• Design scalable data architectures supporting structured and unstructured data across cloud-native environments.
• Build AI-ready platforms enabling LLM applications, Retrieval-Augmented Generation (RAG), and vector-based systems.
• Establish enterprise standards for ontologies, knowledge graphs, metadata management, and semantic modeling.
• Lead the development of data products, APIs, and developer platforms for enterprise consumption.
• Lead and mentor a high-performing team of data architects, engineers, and platform specialists.

Requirements

• 10+ years of experience in Data Engineering, Data Architecture, Platform Engineering, or senior technical leadership roles.
• Proven track record of designing and scaling modern cloud-based data platforms in complex enterprise environments.
• Strong expertise in Snowflake, lakehouse architectures, graph databases, and vector databases.
• Deep understanding of knowledge graphs, ontologies, semantic modeling, and enterprise data architecture.
• Experience building AI-ready platforms supporting LLMs and RAG pipelines.
• English: Upper-intermediate (B2) or higher proficiency required.
• Location: Must be based in the United States.

Culture & Benefits

• Senior executive-level role with strategic impact on AI and enterprise intelligence direction.
• Opportunity to shape next-generation AI-native data platforms for highly secure environments.
• Fully remote flexibility within the United States.
• Exposure to cutting-edge technologies including LLMs, knowledge graphs, and semantic AI.
• High autonomy in defining architecture, product vision, and long-term strategy.
• Competitive compensation package aligned with senior leadership responsibilities.