About the Team

The Strategic Finance team is responsible for shaping the company’s financial strategy and plays a critical role in capital allocation decisions to align financial goals with broader business and mission objectives.

The Strategic Finance Data Science function has four core priorities: (1) accurately and credibly forecast our key business and financial metrics; (2) ensure attainment of key targets; (3) support complex modeling and analyses for business decision-making; and (4) scale recurring work and analysis through automation and dashboarding.

About the Role

The Head of Data Science, Strategic Finance will partner closely with the rest of the Strategic Finance team as well as the Product and GTM Data Science organizations to execute on core business priorities. You will report to the VP of Strategic Finance and work closely with finance leadership to drive data driven decision-making, improve data fluency of those around you, and move the needle on financial outcomes. This is a managerial role. 

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Develop accurate forecasts for product usage and revenue, compute consumption and their underlying drivers, allowing for real-time tracking of key metrics performance and trajectory.

• Become an expert in OAI’s data and systems, through partnership with Data Engineering, Finance, and other Data Science teams.

• Design and deliver dashboards for key metrics that impact financial performance.

• Lead metrics reviews with Strategic Finance and finance leadership to interpret trends from aforementioned dashboards and surface actionable insights.

• Drive automation of standardized reporting, analysis, and processes across our various revenue segments and compute spend.

• Build and mentor a high-performing team.

• Support critical business decisions with ad hoc analysis as needed.

You might thrive in this role if you have:

• A MS/PhD in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS).

• 12+ years of experience in a Data Science role at a dynamic and outcome-driven organization.

• Proficiency in critical analytical tools including SQL.

• Extensive experience building production-ready models for time series applications.

• Built adjustable and explainable forecast models for multiple planning cycles.

• Experience conducting open-ended research projects on new forecasting methodologies.

• Exemplary ability to distill complex financial information into actionable insights for leadership.

• Excellent communication skills and “storytelling” ability when presenting data insights.

• The ability to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful.

• Knowledge of Python.

• Prior management experience.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

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