About The Position

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Business Operations Intern, Third-Party Data & Automation, you’ll play a hands-on role in building a reliable source of truth for third-party supplier data. You’ll partner closely with our Business Operations team and cross-functional stakeholders to clean, validate, and enrich vendor records while exploring how automation and artificial intelligence can reduce manual work. Over the summer, you’ll focus on a high-impact vendor master data cleanup initiative and help prototype scalable workflows that turn messy, unstructured information into trusted, usable data. This role offers meaningful ownership, exposure to real-world business systems, and the opportunity to apply emerging technology to core operational challenges.

Requirements

  • Currently enrolled in a Bachelor’s Degree program studying Business, Information Systems, Computer Science, Data Analytics, or a related field.
  • Strong attention to detail and the ability to turn incomplete, messy data into consistent, high-quality outputs.
  • Proficiency with Excel or Google Sheets, including formulas, filters, pivot tables, and lookup functions.
  • Clear written and verbal communication skills; comfortable asking questions and documenting decisions and rationale.
  • Curiosity about automation and artificial intelligence, with interest in applying technology to streamline business processes.

Nice To Haves

  • Exposure to automation tools, data workflows, or scripting concepts, such as n8n, Zapier, APIs, JSON, SQL, or Python, is a plus.
  • Familiarity with Large Language Models, document extraction, or vendor and procurement systems is a plus, but not required.

Responsibilities

  • Clean and improve supplier records by updating key fields to ensure vendor data is accurate, complete, and ready for business use.
  • Identify, analyze, and resolve duplicate supplier records, including parent and subsidiary relationships, while maintaining a clear decision log.
  • Validate supplier status as active or inactive using inactivity trends, contract signals, supporting documentation, and document rationale.
  • Review onboarding materials and contracts to fill data gaps, using AI-assisted extraction where it adds value.
  • Build and refine simple automation workflows using tools such as n8n or similar platforms to reduce manual validation and enrichment work.
  • Test Large Language Model–based extraction approaches to convert unstructured documents into structured outputs, such as JSON, and flag exceptions for review.
  • Coordinate quick validation sessions with internal partners to resolve unclear data points and close out supplier records.
  • Maintain a progress tracker and share concise updates on outcomes, risks, and next steps.
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