Global Business Insights & Automation Lead

As the Global Business Insights & Automation Lead, you will combine the analytical depth of a data scientist with the strategic storytelling and executive communication of a management consultant. You will lead a small, high-impact team to design, automate, and operationalize global business insight systems that power OpenAI’s decision-making at scale.

You’ll work closely with Finance leadership, GTM, Product, and Engineering to surface the “why behind the numbers,” automate recurring analytics, and develop frameworks that connect business drivers to company strategy. This is a hands-on leadership role — equally focused on building analytical frameworks, mentoring talent, and shaping executive narratives.

In this role, you will:

• Become an expert in OpenAI’s data, systems, and business dynamics across products and regions.
  

• Lead the design and implementation of global KPI frameworks and insight automation systems that serve cross functional partners.
  

• Architect scalable data products — dashboards, variance analyzers, pacing models, and agentic workflows — to deliver proactive insights.
  

• Automate recurring reporting and analysis using OpenAI’s internal tools, surfacing real-time business trends and performance drivers.
  

• Partner with FP&A to connect financial performance with operational and product metrics, improving forecasting accuracy and investment decisions.
  

• Build models and frameworks for segmentation, pricing, and LTV to uncover growth opportunities and efficiency levers.
  

• Translate complex analyses into clear, concise executive narratives — distilling technical detail into actionable insights.
  

• Coach and develop a small, high-performing team of analytics engineer and data scientists, ensuring analytical rigor and stakeholder trust.
  
  

You might thrive in this role if you:

• Have 10+ years of experience in analytics, business insights, or data science — ideally combining experience at McKinsey, Bain, or BCG with hands-on work in a high-growth technology company.
  

• Hold an advanced degree (MS or PhD) in a quantitative field (Statistics, Economics, Computer Science, Operations Research, etc.).
  

• Are comfortable in SQL and Python, and comfortable building analytical models and automated pipelines.
  

• Have deep experience with BI tools such as Tableau and have built scalable dashboards and metric layers used by executives.
  

• Bring a strong understanding of financial and operational metrics (e.g., revenue, margin, LTV, CAC, WAU/DAU, ARPU) and how they interact across functions.
  

• Excel at executive storytelling — simplifying complexity and influencing decisions with clarity and credibility.
  

• Thrive in fast-moving, ambiguous environments and take ownership of problems end-to-end.
  
  

Why this role matters

This role sits at the intersection of data, strategy, and automation. You will shape how OpenAI’s leadership measures performance, understands trade-offs, and drives growth — building the systems, models, and narratives that turn data into decisions.

About the Team

The Strategic Finance Data Science team builds the analytical and automation foundation that powers OpenAI’s most important business and financial decisions. We partner across Finance, Product, Engineering, and Go-to-Market to create a unified understanding of company performance — transforming data into proactive insights and intelligent systems that guide OpenAI’s growth.

Our mission is to enable the Finance of the Future: an integrated ecosystem where data, models, and agentic workflows automate insight delivery and help leaders make better, faster, and more confident decisions.

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.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.