Head of Intelligence Products
EleksRemote
Full Time
Posted June 25, 2026
$162k - $202k· Est.
Climate Technology
Remote
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Job Description
ELEKS is looking for a Head of Intelligence Products in the United States.
Key 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
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
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