51 to 56 of 56 Remote/Hybrid Semantic Layer Jobs

self-service data literacy for PMs, design researchers and engineers. Design LLM-ready data foundations for onboarding analytics, including clean business entities, event schemas, semantic definitions, metadata, retrieval-friendly documentation, and evaluation datasets that make data usable by AI systems without losing governance or context. Partnering with your product … experimentation, causal inference, or product opportunity sizing. Data product ownership: Experience building and owning production-grade analytical assets, such as dbt models, Airflow jobs, semantic layers, metric stores, governed dashboards, or trusted self-serve datasets. LLM-ready data thinking: You understand what makes data usable by AI systems: clean ...

Make your mark for patientsWe are looking for a Clinical Data Layer Lead who is collaborative, strategic, and outcomes-focused to join our Biometrics & Data Science team, based in any of our Brussels (Belgium), Monheim (Germany), Slough (UK) or Raleigh (US) offices.About the roleYou will own the vision, strategy … Quality, Digital Technology, enterprise architecture, and external partners. You are going to connect business and technical communities, align priorities, and represent the Clinical Data Layer in governance forums, steering committees, and vendor discussions.What you will doYou will define and communicate the long-term vision, roadmap, investment case, and business ...

Make your mark for patients We are looking for a Clinical Data Layer Lead who is collaborative, strategic, and outcomes-focused to join our Biometrics & Data Science team, based in any of our Brussels (Belgium), Monheim (Germany), Slough (UK) or Raleigh (US) offices. About the role You will … Quality, Digital Technology, enterprise architecture, and external partners. You are going to connect business and technical communities, align priorities, and represent the Clinical Data Layer in governance forums, steering committees, and vendor discussions. What you will do You will define and communicate the long-term vision, roadmap, investment case ...

data foundations that make AI delivery faster, safer and easier to scale.Leading design and delivery teams to build AI-ready data foundations, platforms and semantic layers that provide trusted business context, reusable knowledge assets and reliable access to enterprise information for AI and analyticsDesigning and embedding engineering capabilities that … processes and human decision-makers, while supporting technology and platform decisions.Understanding of the foundations required to build trusted enterprise AI, including cloud data platforms, semantic layers, data products, AI evaluation, security, governance and responsible AI practices.Consulting & Client Leadership:Experience in consulting or client-facing roles, building trusted senior client ...

integrating people, AI agents and business processes across customer, employee and operational experiences. Shape enterprise AI and data foundations, including AI-ready data platforms, semantic layers, data products and trusted knowledge assets, alongside architectures that enable AI agents to securely interact with enterprise systems and processes. Establish responsible … enterprise AI ecosystems such as OpenAI, Google, Anthropic and Microsoft. Experience shaping enterprise AI architectures and AI-ready data foundations, including cloud data platforms, semantic layers, data products, AI evaluation, security, governance and responsible AI. Significant consulting or senior client-facing experience, with the credibility to advise executive ...

with MCP, A2A, multi-agent orchestration, AI tool calling, or agent evaluation. Experience with LLM-as-judge approaches calibrated against human evaluation. Experience with semantic knowledge management, ontologies, knowledge graphs, or semantic layers. Experience with AI development lifecycle practices across data, build, evaluation, deployment, monitoring, and continuous improvement. ...