Vacancy title: AI Policy Lead
[ Type: FULL TIME , Industry: Public Administration, and Government , Category: Team leader ]Jobs at: Tony Blair Institute for Global Change
Deadline of this Job: 14 August 2022
Summary
Date Posted: Thursday, July 21, 2022 , Base Salary: Not Disclosed
JOB DETAILS:
The post holder will play a central role in our work to develop politically actionable policy and strategy, and to use this to influence the global policy debate. They will report to the Director of the Internet Policy Unit and work closely with other members of the Unit and the wider policy community at the Institute.
Key Responsibilities
• Establish distinctive, evidence-based policy positions on the role of AI, machine learning and advanced computing to accelerate prosperity and improve peoples’ lives around the world
• Deliver a range of policy products that shape the global policy debate, in particular focusing on Africa
• Promote our policy work with clear, effective and innovative communication
• Convene key players in policymaking and the tech sector to help drive real-world change
• Work directly with Institute colleagues who are directly advising governments in countries across Africa
The post holder will:
• Be responsible for scoping and structuring programmes of work
• Be responsible for developing and delivering a range of policy products
• Build productive relationships with their stakeholders in tech and policy
• Speak about their work at public events and in the media
• Line manage senior policy analysts and/ or policy analysts if required
Person Specification
The following criteria must be met:
• Significant experience in public policy, consulting or relevant profession
• Proven ability to structure and solve complex policy problems
• A clear and confident communicator, both written and spoken
• Experience working in a developing country on tech policy / projects
• A strong network in the tech sector or policy communities in Africa
• Bachelor’s degree in a relevant field, or equivalent practical experience
Desirable:
• Practical experience using Machine Learning or data science to solve complex problems
Work Hours: 8
Experience in Months: 12
Level of Education: Bachelor Degree
Job application procedure
Click here to apply
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