Lead, Responsible Data and Artificial Intelligence

Lead, Responsible Data and Artificial Intelligence 

Job Description 

Please Note: This role requires the ability to work on site 3 days per week per company policy. 

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. 

The Centre for the Fourth Industrial Revolution (C4IR) helps stakeholders harness the potential of technological advancements for the equitable and human-centered transformation of industries, economies, and societies. We provide a strategic and future-oriented platform designed to understand exponential technologies and guide their responsible adoption and global application. Our thematic priorities include understanding innovation, catalyzing industry transformation, improving governance, and building a positive future. 

Why we are recruiting 

As Data and Artificial Intelligence (AI) continue to drive the digital economy, we recognize their growing impact on governments, enterprises, institutions, and individuals alike. From powering online transactions to understanding consumer behavior, data shapes every facet of our lives with broad and complex consequences. While AI's benefits are evident across sectors, it also presents multifaceted challenges, from issues related to data governance such as data privacy, data equity, cross-border data flows and data sovereignty, to issues dealing with responsible design and deployment and risk mitigation. 

Understanding the vast economic and societal potential of AI, along with the risks that accompany emerging technologies, the Centre for the Fourth Industrial Revolution seeks to serve as a trusted platform. We seek to foster collaboration across businesses, governments, and civil society to address system challenges. As part of our strategic effort, we are recruiting a Lead on Data and Artificial Intelligence at our San Francisco office. 

The Lead will be tasked to support the design and management of Data and AI-related initiatives and frameworks to expand and support the existing portfolios and communities of Data Policy and the AI Governance Alliance, and more broadly the Centre for the Fourth Industrial Revolution. This includes building multistakeholder communities and initiatives involving data governance, for example cross-sector and cross-border sharing, ownership, provenance and traceability, data intellectual property and rights, AI model as digital public infrastructure, data sovereignty; as well as AI responsible design and release, open-source and licensing, and emerging frontier AI systems and technologies. Moreover, the Lead will bridge gaps between various stakeholders such as industry leaders, research institutions, government representatives, entrepreneurs, academia, and civil society organizations, contributing to the future of the digital, data, and AI economy.

Reporting lines and interactions 

The Lead will collaborate closely with all technology practice leads across the Centre for the Fourth Industrial Revolution as well as with other related World Economic Forum Centres. The Lead will also align and collaborate with the Forum’s global network of Independent Centres which build on, benefit from, and actively contribute to the Forum’s global Centre for the Fourth Industrial Revolution initiatives. This role reports to the Head of Data and AI Innovation based in San Francisco. 

Duties and Responsibilities 

• Support the design, execution and monitoring of new initiatives addressing emerging technologies, specifically data and AI, that can complement the existing portfolio.  

• Generating strategic insights and developing frameworks to assist business leaders and policymakers in anticipating the societal impact of emerging technologies. 

• Build, manage, and mobilize high-level communities of experts and decision makers from across the Forum’s stakeholder ecosystem (industry, government, academia, international organizations and civil society) to champion and lead ambitious, system-level initiatives.
• Monitoring the global landscape for key players and initiatives related to data and AI.

• Apply stakeholder engagement and user-centric design meth