ELEKS is looking for a Head of Intelligence Products in the United States.

ABOUT CLIENT

Our customer is building a next-generation AI platform that enables organizations to securely develop, govern, and operationalize artificial intelligence while ensuring that sensitive data and organizational knowledge remain fully under their control. The platform combines advanced AI capabilities with enterprise-grade governance, security, and data sovereignty to support mission-critical decision-making.

The solution serves government organizations, NGOs, and enterprise customers operating in highly regulated and security-sensitive environments, where reliability, accountability, and trust are essential.

### REQUIREMENTS

10+ years of experience in Data Engineering, Data Architecture, Platform Engineering, or related leadership roles

Proven experience building and scaling modern cloud-based data platforms in enterprise environments

Strong expertise with Snowflake, lakehouse architectures, graph databases, vector databases, and modern data platforms

Deep understanding of knowledge graphs, ontology design, semantic modeling, metadata management, and enterprise data architecture

Experience building AI-ready data platforms supporting LLMs, Retrieval-Augmented Generation (RAG), vector search, and AI applications

Experience designing enterprise APIs, developer platforms, and data products for external customers

Strong knowledge of data governance, lineage, privacy, security, and enterprise access control

Experience defining enterprise data strategy and leading architecture decisions

Hands-on experience with modern ETL/ELT pipelines, orchestration frameworks, and production data services

Experience working with cross-functional Product, Engineering, AI, and Commercial teams

Strong leadership, stakeholder management, and communication skills

Experience building and leading high-performing technical teams

Upper-Intermediate or higher level of English

### RESPONSIBILITIES

Define and lead the enterprise intelligence product strategy, architecture, and operating model
Drive the evolution of a modern enterprise data platform supporting AI, analytics, and commercial data products
Design scalable data architecture, semantic models, and knowledge graph capabilities
Define enterprise ontology, metadata, governance, and interoperability standards
Lead the development of AI-ready data services, APIs, and developer-facing platforms
Define architecture supporting structured, semi-structured, and unstructured data at scale
Partner with Engineering, AI, Product, and Commercial teams to transform data assets into reusable intelligence products
Establish standards for data quality, lineage, provenance, security, and lifecycle management
Define commercialization requirements for enterprise data products, including APIs, licensing models, access control, SLAs, and observability
Evaluate and recommend technologies across cloud data platforms, graph databases, vector stores, orchestration, and AI infrastructure
Lead architecture decisions supporting AI-native applications, LLM integrations, and semantic search capabilities
Build and mentor a high-performing team of data architects, engineers, and platform specialists
Act as a strategic technical advisor for executive stakeholders and drive long-term data platform vision

Head of Intelligence Products

ABOUT CLIENT

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