About the Team
OpenAI is building Procurement of the future: one that uses AI-enabled systems, clean data, and scalable processes to help the business absorb increasing complexity, speed, volume, and throughput — while enabling teams across OpenAI to operate more strategically and at greater scale.
Supplier Administration is a critical foundation of that model. Accurate, complete, and well-governed supplier data enables faster purchasing, cleaner payments, stronger controls, better reporting, more effective risk management, and more scalable automation across the procure-to-pay lifecycle.
About the Role
We are looking for a Supplier Master Data Lead to help reimagine how supplier administration operates in an AI-enabled procurement environment. This role will lead and mature the supplier data foundation behind OpenAI’s procurement and finance operations, with a focus on data integrity, scalable processes, automation readiness, practical AI adoption, and support for supplier risk management workflows.
This is not a traditional supplier administration role. As OpenAI scales, supplier data must become a trusted operating asset — structured, accurate, and actionable enough to support AI-enabled workflows, exception-based operations, third-party risk management, vendor risk reviews, reporting, and faster decision-making.
You will partner closely with Procurement, Accounting, Finance, Third Party Risk Management, Legal, Tax, Security, and business teams to strengthen supplier onboarding, supplier updates, banking and tax data controls, data cleanup, process standardization, and supplier risk review support. You will also help identify where AI, workflow design, and better data structures can reduce friction, improve throughput, strengthen risk visibility, and create more capacity for higher-value procurement work.
What we’re looking for:
We’re looking for someone who can both operate and improve the system. This person will be hands-on in supplier administration while also helping build the next version of how the work gets done — with cleaner data, clearer standards, stronger controls, and more AI-enabled ways of working.
The right person will bring strong operational judgment, high attention to detail, and the ability to see patterns across supplier data, process issues, risk workflows, and system gaps. They will help move Supplier Administration from manual, transaction-heavy work toward a more scalable, exception-based operating model.
You bring:
7+ years of experience in supplier master data, vendor onboarding, procurement operations, accounts payable, finance operations, or a related procure-to-pay role.
High AI fluency, with demonstrated ability to use AI tools to improve how work gets done, reduce manual effort, strengthen analysis, improve documentation, and create scalable operating leverage.
Strong understanding of how supplier data impacts purchasing, invoicing, payments, reporting, compliance, financial controls, supplier risk management, and business decision-making.
Ability to improve operational processes through better data, automation, workflow design, and exception-based ways of working.
Strong systems orientation, with the ability to understand how data flows across procurement and finance platforms.
High attention to detail and a strong sense of ownership for data accuracy, completeness, and consistency.
Ability to identify patterns in operational issues and translate them into better processes, standards, controls, and system improvements.
Practical judgment around AI adoption — knowing where AI can accelerate work, where human review matters, and how to build trust in new ways of working.
Comfort working across Procurement, Finance, Accounting, Accounts Payable, Tax, Legal, Security, Third Party Risk Management, and business stakeholders.
Clear communication skills and the ability to explain process requirements in a practical, enablement-focused way.
Sound judgment when handling sensitive supplier, tax, payment, and banking information.
Ability to operate in ambiguity, bring structure to evolving processes, and raise the bar as the business scales.
In this role, you will:
Lead supplier administration activities while maturing the operating model for supplier data governance, quality, and controls.
Maintain accurate, complete, and audit-ready supplier master data across procurement and finance systems.
Oversee supplier onboarding, supplier record updates, tax documentation, banking changes, and related supplier lifecycle activities.
Strengthen controls around duplicate prevention, banking validation, payment readiness, sensitive supplier information, and data integrity.
Partner with Accounts Payable and Procurement Operations to resolve supplier setup issues that impact purchase orders, invoices, payments, close, and reporting.
Define and improve supplier data standards that support AI-enabled procurement workflows, automation, dashboards, risk reviews, operational reporting, and decision support.
Use AI tools to improve how supplier data is reviewed, enriched, monitored, documented, and acted on.
Identify recurring data quality issues, process gaps, and manual workarounds, then translate them into better workflows, standards, and automation opportunities.
Support supplier data cleanup, rationalization, and standardization efforts across systems and workflows.
Build clear documentation, process guidance, and operating routines that make supplier administration easier, more consistent, and more transparent.
Collaborate cross-functionally to improve the supplier and stakeholder experience while maintaining appropriate controls.
Balance speed, accuracy, risk, and business enablement in a fast-moving environment.
You might thrive in this role if you:
See supplier data as a strategic business asset and a foundation for AI-enabled procurement.
Are already using AI tools to improve quality, speed, analysis, documentation, or decision support.
Care about creating clean, scalable foundations that allow teams to move faster with more confidence.
Enjoy turning operational complexity into clear standards, better workflows, stronger controls, and smarter systems.
Are comfortable being hands-on while also improving the system, process, and operating model around the work.
Can balance a high bar for accuracy and controls with a practical, enablement-focused approach to helping the business move quickly.
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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