Head of Intelligence Products

• 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

• 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