Specialist, -Scale Industrial Technology Adoption

Overview

Specialist, Large-Scale Industrial Technology Adoption
The World Economic Forum, committed to improving the state of the world, is the international organization for public-private cooperation. The Forum engages the foremost political, business and other leaders of society to shape global, regional and industry agendas. We are recruiting for a Lighthouse OS (LOS) Specialist, a flagship initiative of the World Economic Forum designed to translate the proven impact of the Global Lighthouse Network into scalable, country-level operating models for industrial transformation.

The Global Lighthouse Network recognizes manufacturing sites and value chains that demonstrate world-class deployment of advanced technologies, achieving step-change improvements in productivity, sustainability, resilience, and workforce outcomes. Building on these insights, Lighthouse OS codifies the capabilities, transformation pathways and ecosystem enablers that underpin Lighthouse success, transforming site-level excellence into nationally deployable models for inclusive, technology-driven growth. A key enabler of this effort is our AI platform, which turns Lighthouse insights into living, data-driven tools – assessments, benchmarks, and transformation assets that countries and companies can use to move.

As LOS expands globally, we seek a Specialist to help drive the next phase: translating LOS principles into national applications that work on the ground. The Specialist will own analytical and implementation work streams behind national LOS deployments, build on Lumina as the platform that scales this work across geographies, and work directly with governments, industry partners, and the Forum’s technology teams to make advanced-technology adoption real, measurable, and inclusive.

• 35% data science and analytical work – building data models, preparing data, running diagnostics and benchmarks, producing analysis that leverages the LOS frameworks and working with technology and product teams to translate methodologies into platform features.
• 35% knowledge codification and content – turning implementation learnings into toolkits, dashboards, methodologies, and case studies.
• 30% stakeholder engagement and coordination – interfacing with technology, engineering, country counterparts, and partners; presenting work to senior internal and external audiences.

• Support the implementation of national manufacturing transformation blueprints based on the Lighthouse Operating System (LOS), focusing on operationalizing frameworks, tools, and methodologies at country and regional levels.
• Lead analytical and implementation work streams underpinning national industrial transformation applications, including assessments, data models, benchmarking, and readiness diagnostics across different industry segments.
• Leverage and further develop the digital platform as a core delivery vehicle, supporting end‑to‑end data ingestion, analysis, visualization, and deployment of insights across geographies.
• Translate global frameworks into practical implementation approaches, adapting and creating data models to different national and regional contexts.
• Work closely with technical counterparts, including local and global C4IRs, delivery partners, and data and technology teams, to support deployment, testing, and scaling of Lighthouse OS tools.
• Contribute to the development and maintenance of an AI-enabled global knowledge asset, including toolkits, methodologies, dashboards, case studies, and implementation guidance.
• Coordinate inputs across technology teams and partners to ensure consistency, quality, and usability of Lighthouse OS data, content and tools.
• Support workshops, technical sessions, and working groups with governments, industry partners, and ecosystem stakeholders focused on implementation and execution.

• University degree in data science, computer science, engineering, statistics, or a related quantitative field.
• 3–6 years of hands‑on experience in data science, data engineering, or analytics, ideally including data modelling, data preparation, and/or contributing to digital platforms.
• Comfortable working…