In A Nutshell
Develop and implement AI-driven solutions that promote social good. Oversee the Microsoft AI Economy Institute, a program designed to advance the understanding of the economic impacts of AI and inform action on building a robust, inclusive AI economy.
Responsibilities
- Strategic Leadership: Provide visionary leadership and strategic direction for the AI for Good Lab’s economic research initiatives. Develop and execute a comprehensive strategy to harness AI for addressing global economic challenges.
- Microsoft AI Economy Institute: Lead the Microsoft AI Economy Institute, coordinating with scholars and researchers to explore key questions about the future AI economy. Manage the program’s research agenda, workshops, and publication efforts
- Research and Analysis: Lead and conduct cutting-edge economic research using AI and machine learning techniques. Analyze complex datasets to generate insights and inform policy recommendations.
- Collaboration: Work collaboratively with internal and external stakeholders, including academic institutions, non-profit organizations, and government agencies, to drive impactful projects and initiatives.
- Policy Development: Develop and advocate for policies that promote the ethical and equitable use of AI in addressing economic issues. Provide guidance on the economic implications of AI technologies.
- Thought Leadership: Represent Microsoft as a thought leader in the field of AI and economics. Publish research findings in top-tier journals and present at conferences and industry events.
- Team Management: Build and lead a high-performing team of economists and data scientists. Foster a culture of innovation, collaboration, and continuous learning.
Skillset
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- 5+ years people-management experience.
- 5+ years experience applying AI and machine learning techniques to economic problems.