Analytics Manager, Global Affairs

OpenAI•San Francisco, CA

3d•$190,000 - $190,000

About The Position

OpenAI’s Global Affairs team is seeking an Analytics Manager to develop and communicate data-driven insights into how people and businesses use ChatGPT, with a focus on local and regional trends across the United States and other priority markets. The role analyzes privacy-protective, aggregated usage data to identify patterns in AI adoption and use, and translates complex datasets into accessible insights for policy development, strategic communications, stakeholder engagement, and public education. The Analytics Manager will work across quantitative analysis, strategic problem-solving, and storytelling, collaborating with policy, communications, partnerships, data science, research, product, and engineering colleagues. The role will help build a new analytical capability within Global Affairs and shape how OpenAI understands and communicates AI adoption and use across communities. It is based in San Francisco, Washington, DC, or an approved remote location; work arrangements and relocation eligibility depend on the approved location.

Requirements

At least 4 years of experience in data analytics, business intelligence, economic research, public policy analytics, or a related quantitative field.
Proficiency in SQL and experience working with large, complex datasets.
Experience using Python, R, or comparable analytical tools for quantitative analysis.
Experience developing dashboards, reports, and data visualizations using Tableau, Looker, or similar platforms.
Ability to independently structure analytical questions, identify relevant data, conduct rigorous analysis, and communicate findings clearly.
Ability to identify what is interesting, surprising, or consequential in a dataset and explain why it matters to a particular audience.
Understanding of analytical rigor, including data quality, sampling limitations, representativeness, and the distinction between correlation and causation.
Ability to translate technical findings into concise, accessible insights for nontechnical stakeholders, including communications professionals, policymakers, and organizational leaders.
Ability to collaborate across functions and translate analytical work into actionable recommendations.
Comfort managing competing priorities and delivering high-quality work in a fast-moving environment.
Intellectual curiosity about AI, public policy, economic opportunity, and the effects of emerging technologies on people and communities.

Nice To Haves

Experience using data to support public policy research, government affairs, strategic communications, or public-sector decision-making.
Experience working with geographically disaggregated data, including state-, county-, or metropolitan-level datasets.
Experience combining proprietary datasets with public data from sources such as the U.S. Census Bureau, Bureau of Labor Statistics, or Bureau of Economic Analysis.
Experience analyzing behavioral or product usage data and translating findings into research, reports, or public-facing insights.
Background in economics, political science, statistics, data science, or a related quantitative discipline.
Experience developing analytical products or reporting capabilities from the ground up.

Responsibilities

Analyze approved, aggregated ChatGPT usage data to identify geographic patterns in AI adoption and use across states, metropolitan areas, and other markets where reliable analysis is supported.
Develop insights into AI use in education, workforce development, entrepreneurship, small business, professional productivity, and other areas of economic and social opportunity.
Identify regional differences in adoption, use cases, and engagement to inform policy priorities and stakeholder outreach.
Develop market-level profiles and recurring analyses illustrating how AI is used across communities.
Identify emerging trends and noteworthy patterns for engagement with policymakers, civic leaders, institutions, and the media.
Evaluate data representativeness, limitations, and appropriate interpretation to ensure findings are accurate and responsibly communicated.
Partner with policy, communications, and partnerships teams to translate analytical findings into evidence-based narratives.
Develop state- and market-specific insights supporting policy initiatives, public affairs campaigns, legislative engagement, and regional communications.
Identify data-driven stories about how people and businesses use AI, including for economic opportunity, education, productivity, and everyday problem-solving.
Support the development of reports, fact sheets, presentations, data visualizations, talking points, and other materials for internal and external audiences.
Explain complex findings accessibly while communicating uncertainty, methodological limitations, and the distinction between observed usage and broader societal outcomes.
Respond to time-sensitive analytical requests relating to policy developments, communications opportunities, and stakeholder engagement.
Create dashboards, reporting tools, and repeatable analytical processes for Global Affairs teams to access geographic and thematic insights.
Collaborate with internal data science, research, product, and engineering teams to identify useful datasets, improve analytical methods, and develop approaches to understanding AI adoption and use.
Establish consistent metrics and methodologies for tracking trends over time and comparing geographic markets.
Develop analytical frameworks connecting usage patterns to research questions about economic opportunity, workforce transformation, education, and AI access.
Combine internal insights with relevant public datasets to provide economic, demographic, or geographic context where appropriate.
Ensure analysis and reporting follow OpenAI privacy, security, and data governance requirements, including approved data access, appropriate aggregation, and safeguards against identifying individual users.