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.
Why we are recruiting
Lighthouse 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.
The 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.
As 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.
The 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.
Reporting Lines & Interactions
Reports to: Lead, Lighthouse OS
Works closely with: Forum Advanced Manufacturing & Supply Chains (AMSC) team, Global Lighthouse Network team, Platform leadership, C4IR affiliate networks, CRTG, country industrial policy
External interactions: Government representatives, industry partners, technology providers, regional partners
Breakdown of main responsibilities
- 35% 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.
- 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.
The successful candidate will be assessed on
- Support 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.
- Lead analytical and implementation workstreams 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.
Preferred Requirements and Experience
- 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 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.
- Experience working with or alongside product and engineering teams, translating business needs into product requirements.
- Familiarity with dashboarding (e.g. Power BI, Tableau, Looker), and ideally with cloud data environments (AWS, Azure, or Databricks).
- Hands-on experience with AI-assisted development tools (Claude Code, Cursor, or similar) is a plus.
- Good 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.
- Excellent 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.
- Highly organized and detail-oriented, with the judgement to know when precision matters and when speed does.
- Arabic is an advantage but not required.
Why join us?
Join an independent and impartial organization with over 55 years of connecting leaders to make sense of global challenges and move the world forward together.
