Specialist, large-scale industrial technology adoption

PpThe World Economic Forum, committed to improving the state of the world, is the international organization for public-private cooperation. /p pThe Forum engages the foremost political, business and other leaders of society to shape global, regional and industry agendas. /p h3Why we are recruiting /h3 pLighthouse OS (LOS) is 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. /p pThe Global Lighthouse Network was established to recognize 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. /p pAs Lighthouse OS expands globally, we are seeking a Specialist to help drive the next phase: translating LOS principles into national applications that work on the ground. This is an externally oriented role at the intersection of data science, industrial transformation, and ecosystem engagement. /p pThe Specialist will own analytical and implementation workstreams 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. /p h3Reporting Lines Interactions /h3 pReports to: Lead, Lighthouse OS /p pWorks closely with: Forum Advanced Manufacturing Supply Chains (AMSC) team, Global Lighthouse Network team, Platform leadership, C4IR affiliate networks, CRTG, country industrial policy /p pExternal interactions: Government representatives, industry partners, technology providers, regional partners /p h3Breakdown Of Main Responsibilities /h3 ul li35% data science and analytical work — building data models, preparing data, running diagnostics and benchmarks, producing analysis that leverage the LOS frameworks and working with technology and product teams to translate methodologies into platform features. /li li35% knowledge codification and content — turning implementation learnings into toolkits, dashboards, methodologies, and case studies. /li li30% stakeholder engagement and coordination — interfacing with technology, engineering, country counterparts, and partners; presenting work to senior internal and external audiences. /li /ul h3The successful candidate will be assessed on /h3 ul liSupport the implementation of national manufacturing transformation blueprints based on the Lighthouse Operating System (LOS), with a focus on operationalizing frameworks, tools, and methodologies at country and regional leveI. /li liLead analytical and implementation workstreams underpinning national industrial transformation applications, including assessments, data models, benchmarking, and readiness diagnostics across different industry segments. /li liLeverage 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. /li liTranslate global frameworks into practical implementation approaches, adapting and creating data models to different national and regional contexts. /li liWork 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. /li liContribute to the development and maintenance of an AI‑enabled global knowledge asset, including toolkits, methodologies, dashboards, case studies, and implementation guidance. /li liCoordinate inputs across technology teams and partners to ensure consistency, quality, and usability of Lighthouse OS data, content and tools. /li liSupport workshops, technical sessions, and working groups with governments, industry partners, and ecosystem stakeholders focused on implementation and execution. /li /ul h3Preferred Requirements And Experience /h3 ul liUniversity degree in data science, computer science, engineering, statistics, or a related quantitative field. /li li3–6 years of hands‑on experience in data science, data engineering, or analytics, ideally including data modelling, data preparation, and / or contributing to digital platforms. /li liComfortable working in Python, SQL, and modern data tooling to design and run data science work, building and training ML models, generating synthetic data, augmenting and enriching datasets with GenAI, developing algorithms, and turning messy industrial data into reliable, decision‑grade inputs. /li liExperience working with or alongside product and engineering teams, translating business needs into product requirements. /li liFamiliarity with dashboarding (e.g. Power BI, Tableau, Looker), and ideally with cloud data environments (AWS, Azure, or Databricks). /li liHands‑on experience with AI‑assisted development tools (Claude Code, Cursor, or similar) is a plus. /li liGood understanding of manufacturing and supply chains as systems, including technology adoption and operational processes. Experience in industrial, manufacturing, or operations contexts is a strong plus. /li liExcellent written and verbal communication in English; able to present technical work clearly to senior, non‑technical audiences (Ministers, CEOs, partners). Strong slide‑making and storytelling skills. /li liHighly organized and detail‑oriented, with the judgement to know when precision matters and when speed does. /li liArabic is an advantage but not required. /li /ul h3Why join us? /h3 pJoin an independent and impartial organization with over 55 years of connecting leaders to make sense of global challenges and move the world forward together. /p /p #J-18808-Ljbffr