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Head of Intelligence Products

1 hour, 13 minutes ago
United States
Lead
Data Architect
Data Science and Analytics
LLM Snowflake
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ELEKS

ELEKS

ELEKS specializes in providing software engineering, technology consulting, and quality assurance services, helping industry leaders transform innovative ideas into effective business solutions across various sectors, including data science, mobility, ...

Construction & Engineering
1K-5K
Founded 1991
View All Jobs 13

Description

  • 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.

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.

Interested in this position?

Apply directly on the company website

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