Director of Data Engineering and Agentic AI Automation, Finance

Director of Data Engineering and Agentic AI Automation, Finance

OpenAI is seeking a Director of Data Engineering and Agentic AI Automation to lead the next generation of its finance data infrastructure. As OpenAI expands its Finance operations, scalable and trustworthy data systems are crucial to match the pace and complexity of growth. This includes well-modeled, auditable data for revenue recognition, financial reporting, and planning, supported by reliable pipelines that connect ERP, planning, and operational systems. This role involves leading a group of analytics engineers, data engineers, and AI engineers to build the data pipelines that connect internal engineering systems with enterprise platforms such as Oracle Fusion ERP. Additionally, you will define the roadmap for agentic AI automation, enabling intelligent workflows, process automation, and AI-driven decision-making across Finance.

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

In This Role, You Will

• Build and maintain scalable, auditable data infrastructure that powers accurate financial information, with a focus on revenue recognition, compute attribution, and close automation.
• Lead and grow teams of analytics engineers, data engineers, and AI engineers to deliver high-impact, intelligent data systems.
• Guide work across financial close and allocations automation, B2C revenue automation from engineering systems to ERP (including reconciliation with cash and source systems), and other mission-critical financial processes.
• Design and implement data pipelines connecting ERP, planning, and operational systems, including Oracle Fusion, Anaplan, and Workday.
• Build and support scalable, audit-proof architecture that enables reliable financial reporting and compliance.
• Develop data and AI-powered workflows that enhance forecasting accuracy, compliance automation, and operational efficiency.
• Create and maintain data marts and products that support stakeholders across Revenue, FP&A, Tax, Procurement, Hardware Accounting, and Controller teams.
• Define and enforce best practices for data modeling, lineage, observability, and reconciliation across finance data domains.
• Set the technical direction and manage team structure, mentoring engineers and overseeing contractors or system integrators to ensure delivery of high-quality outcomes.
• Partner with senior leaders across Finance, Engineering, and Infrastructure to align on priorities and integrate new automation capabilities.
• Ensure data systems are AI-ready and capable of supporting predictive analytics, autonomous agent workflows, and large-scale automation.
• Own and maintain Tier-1 data pipelines with strict SLA, data quality, and compliance standards.
• Drive the long-term roadmap for agentic AI enablement to build the foundation for “Finance on OpenAI.”

You Might Thrive In This Role If You Have

• 12+ years in data engineering, with proven experience building and managing enterprise-scale, auditable ETL pipelines and complex datasets.
• Proficiency in SQL and Python, with demonstrated experience in schema design, data modeling, and orchestration frameworks.
• Expertise in distributed data processing technologies such as Apache Spark, Kafka, and cloud-native storage (e.g., S3, ADLS).
• Deep knowledge of enterprise data architecture, especially within Finance and Supply Chain.
• Familiarity with financial processes (close, allocations, revenue recognition) and supply chain data models (Supply and demand planning, procurement, vendor master), along with experience in ingesting data from internal engineering systems with large volumes of B2C.
• Experience integrating with contract manufacturers and external logistics providers is a strong plus.
• Strong track record of partnering with senior business stakeholders and translating complex requirements into scalable technical solutions.

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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Key skills/competency

• Data Engineering
• Agentic AI Automation
• Financial Data Infrastructure
• Oracle Fusion ERP
• Revenue Recognition
• Data Pipelines
• ETL & Data Modeling
• Apache Spark
• Python & SQL
• Stakeholder Management