This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head of Intelligence Products based in the United States.
This role is a senior leadership opportunity at the intersection of AI, enterprise data platforms, and product strategy, focused on building next-generation intelligence systems for highly regulated and security-sensitive environments. You will define and lead the vision for AI-enabled data products that transform how organizations manage, govern, and operationalize knowledge at scale.
The position plays a critical role in shaping enterprise-grade platforms that combine advanced data architecture with strong governance, security, and sovereignty principles.
You will work across engineering, AI, and product teams to design scalable intelligence systems powered by modern data infrastructure, including knowledge graphs, vector databases, and semantic models.
This role requires both deep technical expertise and strong product leadership, translating complex data ecosystems into commercial, AI-ready solutions.
You will also act as a key strategic advisor to executive stakeholders, influencing long-term platform direction and enterprise data strategy.
The environment is highly technical, mission-driven, and focused on building trusted AI systems for critical decision-making contexts.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head of Intelligence Products based in the United States.
This role is a senior leadership opportunity at the intersection of AI, enterprise data platforms, and product strategy, focused on building next-generation intelligence systems for highly regulated and security-sensitive environments. You will define and lead the vision for AI-enabled data products that transform how organizations manage, govern, and operationalize knowledge at scale.
The position plays a critical role in shaping enterprise-grade platforms that combine advanced data architecture with strong governance, security, and sovereignty principles.
You will work across engineering, AI, and product teams to design scalable intelligence systems powered by modern data infrastructure, including knowledge graphs, vector databases, and semantic models.
This role requires both deep technical expertise and strong product leadership, translating complex data ecosystems into commercial, AI-ready solutions.
You will also act as a key strategic advisor to executive stakeholders, influencing long-term platform direction and enterprise data strategy.
The environment is highly technical, mission-driven, and focused on building trusted AI systems for critical decision-making contexts.
Accountabilities:
- Define and lead the overall intelligence products strategy, including architecture, platform vision, and long-term evolution of enterprise AI data systems.
- Design and oversee scalable data architectures supporting structured, semi-structured, and unstructured data across cloud-native environments.
- Build and evolve AI-ready data platforms enabling LLM applications, Retrieval-Augmented Generation (RAG), semantic search, and vector-based systems.
- Define enterprise standards for ontologies, knowledge graphs, metadata management, governance, lineage, and semantic modeling.
- Lead development of data products, APIs, and developer platforms designed for internal and external enterprise consumption.
- Establish frameworks for data security, privacy, access control, observability, and lifecycle management across intelligence systems.
- Collaborate with Engineering, AI, Product, and Commercial teams to transform enterprise data assets into scalable intelligence products.
- Evaluate and select technologies across data platforms, graph databases, vector stores, orchestration tools, and AI infrastructure components.
- Define commercialization models for data products, including APIs, SLAs, licensing, and usage governance.
- Lead and mentor a high-performing team of data architects, engineers, and platform specialists while driving architectural decision-making at scale.
- 10+ years of experience in Data Engineering, Data Architecture, Platform Engineering, or related 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, vector databases, and modern data ecosystems.
- Deep understanding of knowledge graphs, ontologies, semantic modeling, metadata management, and enterprise data architecture principles.
- Experience building AI-ready platforms supporting LLMs, RAG pipelines, and advanced AI/ML applications.
- Strong knowledge of enterprise data governance, security frameworks, privacy standards, and access control systems.
- Experience designing APIs, developer platforms, and scalable data products for enterprise or external users.
- Proven ability to define data strategy and lead architecture decisions in collaboration with executive and technical stakeholders.
- Hands-on experience with ETL/ELT pipelines, orchestration tools, and production-grade data services.
- Strong leadership experience building and scaling technical teams in high-growth or enterprise environments.
- Excellent communication and stakeholder management skills, with the ability to influence senior leadership.
- Upper-intermediate or higher level of English proficiency.
- Senior executive-level role with strategic impact on AI and enterprise intelligence product direction
- Opportunity to shape next-generation AI-native data platforms used in highly secure and regulated environments
- Competitive compensation package aligned with senior leadership responsibilities
- Fully remote flexibility within the United States
- Exposure to cutting-edge technologies including LLMs, knowledge graphs, vector databases, and semantic AI systems
- Leadership opportunity to build and mentor a high-performing technical organization
- High autonomy in defining architecture, product vision, and long-term platform strategy
- Work on mission-critical solutions supporting government, NGO, and enterprise decision-making.