Head of Intelligence Products

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🔥 4 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

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ELEKS

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1991

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

ELEKS is a trusted partner for software engineering and technology consulting services, providing end-to-end solutions to help businesses achieve their software vision. They offer a wide range of services, including application development, cloud migration, AI consulting, and cybersecurity. ELEKS specializes in data strategy and intelligent automation to drive business growth and efficiency. They cater to various industries by delivering custom software tailored to sectors such as fintech, healthcare, energy, and more. With over 30 years of experience and a global presence, ELEKS is dedicated to innovation and ensuring seamless software delivery for their clients.

📋 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 • 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

🎯 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