Lead strategy, architecture, and operating model for an enterprise AI-ready data platform. Define semantic models, knowledge graph and ontology standards, data governance, APIs, and commercialization for reusable intelligence products. Drive platform evolution, technology selection, cross-functional partnerships, and build a high-performing data architecture and engineering team supporting LLMs, RAG, vector search, and regulated environments.
ELEKS is looking for a Head of Intelligence Products in the United States.
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
Similar Jobs
Cloud • Software • Database • Analytics
The Head of Data Intelligence Products will define and execute product strategy, lead a global team, oversee AI developments, and engage CDOs to modernize data management.
Top Skills:
Ai AgentsAi/MlCloud-Native ArchitectureData CatalogData GovernanceData IntelligenceData MeshData QualityLlmsModern Data Stack
Automotive • Edtech • Kids + Family • Mobile • Social Impact • Transportation
Lead HopSkipDrive's full B2B marketing function, owning brand, demand generation, product marketing, RFPs, sales enablement, lifecycle/growth, and marketing operations. Build a revenue-focused, AI-enabled marketing organization accountable to pipeline, revenue, CAC and retention metrics; partner closely with Sales and Customer Success to drive expansion and measurable marketing-sourced revenue. Serve on the senior leadership team and report to the CEO.
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead development and execution of internal communications and change management strategies to align employees with organizational goals. Manage channels, create content (copywriting, speech writing), use data to improve communications, build stakeholder relationships, embrace technology, oversee project planning/budgeting, and mentor team members while resolving conflicts and driving adoption of communication initiatives.
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
