Intern - Product Management (Data Operations), On Location

TKONew York, NY
2d$14 - $18Onsite

About The Position

On Location is a global leader in premium experiential hospitality, offering ticketing, curated guest experiences, live event production and travel management across sports, entertainment, fashion and culture. On Location provides unrivaled access for corporate clients and fans looking for official, immersive experiences at marquee events, including the Olympic and Paralympic Games, FIFA World Cup 2026, Super Bowl, NCAA Final Four, and more. An official partner and/or service provider to over 150 iconic rights holders, such as the IOC (the Milano Cortina 2026 and Los Angeles 2028 Olympic Games), FIFA, NFL, NCAA, UFC, WWE, and PGA of America, the company also owns and operates a number of its own unique experiences. On Location is a subsidiary of TKO Group Holdings, Inc. (NYSE: TKO), a premium sports and entertainment company. TKO Group Holdings, Inc. (NYSE: TKO) is a premium sports and entertainment company. TKO owns iconic properties including UFC, the world’s premier mixed martial arts organization; WWE, the global leader in sports entertainment; and PBR, the world’s premier bull riding organization. Together, these properties reach 1 billion households across 210 countries and territories and organize more than 500 live events year-round, attracting more than three million fans. TKO also services and partners with major sports rights holders through IMG, an industry-leading global sports marketing agency; and On Location, a global leader in premium experiential hospitality. Department On Location Technology — Data Products & Operations (DPO) designs, delivers, and operates the data products and pipelines that power decision-making across On Location and key partners. The team sits within Technology and works closely with Business Operations, Marketing, Sales, and Finance to unify data, ensure quality, and turn insights into measurable business outcomes. DPO partners on enterprise customer data initiatives and Salesforce programs (e.g., Data 360 / Data Cloud), aligning stakeholders and use cases so data activation supports revenue, marketing, and service needs across the portfolio. The remit also includes external data integrations, such as secure file transfers with leagues and partners, as well as governance standards that keep shared data assets reliable, scalable, and compliant. The team maintains a steady delivery cadence with product managers and data analysts to prioritize work, resolve issues, and sustain performance.

Requirements

  • Strong interest in learning how data science and analytics are applied in large-scale live events and the entertainment industry
  • Excited by how data enables business decisions and passionate about building scalable, high-quality data products
  • Strong communication skills with the ability to work across Product, Engineering, Marketing, Finance, and other business teams, serving as a conduit between data and the business
  • Currently pursuing or having completed a bachelor’s or master’s degree in Data Science, Statistics, Computer Science, Information Systems, or a related field (or equivalent practical experience)
  • Strong SQL fundamentals and advanced Excel skills, with comfort writing queries, validating results, and troubleshooting issues
  • Quality-first mindset with strong attention to detail and the ability to translate business requirements into data checks, acceptance criteria, and clear documentation

Responsibilities

  • Build, test, and monitor data models and lightweight data pipelines, performing QA and documenting acceptance criteria to ensure reliable downstream activation
  • Support customer data and marketing use cases, including segmentation, identity resolution, golden records, and campaign readiness, in partnership with Product, Marketing, and Sales teams
  • Develop lightweight dashboards and ad-hoc analyses for stakeholders, organizing outputs and documentation in shared workspaces for reuse
  • Contribute to data governance and operational excellence by writing runbooks, logging issues, and participating in backlog grooming and sprint rituals
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