About The Position

OpenAI is building a future procurement system that leverages AI-enabled systems, clean data, and scalable processes to manage increasing complexity, speed, volume, and throughput. Supplier Administration is a critical foundation for this model, ensuring accurate and well-governed supplier data to facilitate faster purchasing, cleaner payments, stronger controls, better reporting, effective risk management, and scalable automation across the procure-to-pay lifecycle. This role will lead and mature the supplier data foundation for OpenAI’s procurement and finance operations, focusing on data integrity, scalable processes, automation readiness, practical AI adoption, and support for supplier risk management workflows. The position requires a hands-on approach to supplier administration while also contributing to the development of future operational models with cleaner data, clearer standards, stronger controls, and more AI-enabled ways of working. The ideal candidate will possess strong operational judgment, high attention to detail, and the ability to identify patterns across supplier data, process issues, risk workflows, and system gaps, moving Supplier Administration towards a scalable, exception-based operating model.

Requirements

  • 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.

Nice To Haves

  • 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.

Responsibilities

  • 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.

Benefits

  • AI-enabled systems
  • clean data
  • scalable processes
  • AI adoption
  • supplier risk management workflows
  • exception-based operations
  • third-party risk management
  • vendor risk reviews
  • reporting
  • faster decision-making
  • AI-enabled workflows
  • automation readiness
  • AI-enabled procurement
  • AI tools
  • workflow design
  • better data structures
  • reduce friction
  • improve throughput
  • strengthen risk visibility
  • create more capacity for higher-value procurement work
  • cleaner data
  • clearer standards
  • stronger controls
  • more AI-enabled ways of working
  • scalable operating leverage
  • financial controls
  • business decision-making
  • automation
  • exception-based ways of working
  • procurement and finance platforms
  • data accuracy
  • data completeness
  • data consistency
  • system improvements
  • human review
  • trust in new ways of working
  • process requirements
  • enablement-focused way
  • sensitive supplier, tax, payment, and banking information
  • structure to evolving processes
  • data governance
  • data quality
  • audit-ready supplier master data
  • supplier lifecycle activities
  • duplicate prevention
  • banking validation
  • payment readiness
  • sensitive supplier information
  • data integrity
  • purchase orders
  • invoices
  • payments
  • close
  • reporting
  • supplier data standards
  • dashboards
  • risk reviews
  • operational reporting
  • decision support
  • data quality issues
  • process gaps
  • manual workarounds
  • workflows
  • automation opportunities
  • data cleanup
  • rationalization
  • standardization efforts
  • process guidance
  • operating routines
  • stakeholder experience
  • business enablement
  • strategic business asset
  • clean, scalable foundations
  • smarter systems
  • equal opportunity employer
  • reasonable accommodations to applicants with disabilities
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