Senior Director, Chief Economist - AI for Good Lab

Microsoft's AI for Good Lab is seeking a highly skilled and experienced Senior Director, Chief Economist – AI for Good Lab, to lead our efforts in leveraging artificial intelligence to address some of the world's most pressing challenges. This role will involve working closely with a multidisciplinary team of researchers, engineers, and policy experts to develop and implement AI-driven solutions that promote social good. A key responsibility will be overseeing 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.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.  

Required/minimum qualifications

• 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)
  • OR equivalent experience.
• 5+ years people-management experience.
• 5+ years experience applying AI and machine learning techniques to economic problems.

Additional or preferred qualifications

• Doctorate 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 Master'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)
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 15+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• 7+ years people-management experience.
• Deep understanding of the ethical considerations and societal impacts of AI technologies.
• Proficient interpersonal and communication skills. Ability to work effectively with diverse teams and stakeholders.
• Publication record in top-tier economic and AI journals.
• Experience working in or with non-profit organizations, government agencies, or international organizations.
• Familiarity with Microsoft's AI technologies and platforms.
• Demonstrated commitment to using technology for social good.

Data Science M6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until August 1, 2025.

#CELA

• 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.
• Embody our culture and values