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Senior Advisor, AI
  • Job Number: 25785
  • Department: Abdul Latif Jameel Poverty Action Lab
  • School Area: Humanities, Arts, & Social Sciences
  • Employment Type: Full-time (Hybrid)
  • Pay Range Minimum: $181,230
  • Pay Range Maximum: $213,211
  • Payroll Category: SRS Administrative
  • Visa Sponsorship Available: No
  • Schedule:
  • Pay Grade: No Grade

Posting Description

SENIOR ADVISOR, AI, Abdul Latif Jameel Poverty Action Lab, to lead its AI work portfolio across research, policy, and capacity building to ensure applications of AI in development are evidence-based and responsible. This role is designed for a highly experienced senior leader who can provide strategic direction to J-PAL's global AI portfolio. This portfolio focuses on evaluating and scaling transformative applications of AI in development programs, advancing the field of AI and development economics research through randomized controlled trials, incorporating AI into J-PAL’s capacity building programs, and advising researchers and staff on leveraging AI to improve the quality and efficiency of J-PAL’s research, policy, and operations. The Senior Advisor will report to the Global Executive Director and work closely with J-PAL’s AI Faculty Co-Chairs, AI, and policy teams. The Senior Advisor will serve as the staff lead for J-PAL’s AI regranting initiatives, including managing Project AI Evidence (PAIE), and supervising the PAIE team and other colleagues contributing to J-PAL’s AI portfolio.

A full job description is available, here.

Job Requirements

REQUIRED: A master's degree in economics, public policy, international development, computer science, or a related field; a strong technical understanding of economics is necessary to ensure that J-PAL's findings are translated into general policy conclusions in a way that is both simple to follow but also accurate and undistorted; and ten years of work experience, including prior experience working in randomized evaluations, economics research, international development policy, and/or technology innovation. PREFERRED: Training in machine learning, AI, computer science, or related technical fields; experience overseeing research and policy grant funding competitions; and expertise with technology, product development, AI tools, and emerging technology adoption.

6/11/2026