OpenAI· Finance· San Francisco
Supplier Master Data Lead (P2P Systems, Controls & Automation)
Comp$216K – $240K
Classified Tasks (20)
Automate 0%Augment 85%Human-Only 15%
Augment (17)
AI assists, human decides
Ensure supplier data integrity, accuracy, completeness, and consistency.
operational
Develop and implement scalable supplier data processes focused on automation readiness and AI adoption.
technical
Support supplier risk management workflows and provide supplier risk review support.
analytical
Strengthen banking and tax data controls for suppliers.
operational
Conduct supplier data cleanup and remediation projects.
operational
Standardize supplier administration processes across systems and teams.
operational
Identify opportunities to apply AI, workflow design, and improved data structures to reduce friction and improve throughput.
analytical
Translate patterns in supplier data and operational issues into improved processes, standards, controls, and system changes.
analytical
Operate hands-on supplier administration tasks, including vendor onboarding, maintenance, and updates.
administrative
Design and implement an exception-based operating model to replace manual, transaction-heavy work.
operational
Map and analyze supplier data flows across procurement and finance platforms.
analytical
Use AI tools to automate manual tasks, strengthen analysis, and improve documentation.
technical
Implement controls and governance to maintain supplier banking and tax data accuracy.
operational
Build and deploy AI-enabled workflows and systems for supplier administration.
technical
Monitor supplier data quality and resolve discrepancies impacting purchasing, invoicing, payments, reporting, compliance, and financial controls.
operational
Create scalable operating leverage through automation and process improvements.
operational
Drive process improvements to enable faster decision-making and better supplier-related reporting.
leadership
Human-Only (3)
Requires human judgment
Lead and mature the supplier master data foundation supporting procurement and finance operations.
leadership
Partner with Procurement, Accounting, Finance, Third Party Risk Management, Legal, Tax, Security, and business teams to strengthen supplier onboarding and supplier updates.
communication
Establish practical AI-human review boundaries and governance to build trust in AI-enabled supplier workflows.
leadership
Job description
Supplier Master Data Lead (P2P Systems, Controls & Automation) | OpenAI Careers ## Supplier Master Data Lead (P2P Systems, Controls & Automation) Finance - San Francisco Apply now(opens in a new window) ## 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 Procur