VP, Partner Data

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RightsHelper

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2026

☁️ SaaS

🤝 B2B

⚽ Sports

SaaS • B2B • Sports

RightsHelper is a comprehensive platform for demand-based decision-making and operational efficiency tailored to ticketing rightsholders. The product offers analytics and tools to optimize pricing, forecasting, inventory, distribution, and marketing across a season, enabling billions of pricing, inventory, and distribution decisions to be made more clearly, confidently, and contextually. Built by team personnel and technology leaders with ticketing operations experience, RightsHelper emphasizes transparent, interpretable models, integrated analytics and operations, and flexible partnership structures for ticketing businesses.

📋 Description

• Own delivery of accurate (trustworthy) and timely partner data to downstream modeling and web application deliverables. • Evaluate, develop, and manage products and processes that ensure data delivery is as efficient as possible for our external partners and the internal Partner Data team. • Work directly with our external partners to address issues and opportunities relating to data ingestion, data processing, and data quality. • Review and propose Partner Data workflows in close collaboration with Partner Success, Data Science, and Engineering considerations. • Hire, develop, and supervise the Partner Data team. • Execute on data deliverables when capable and as needed. • Help build a collaborative culture focused on ownership and empathy for our partners.

🎯 Requirements

• At least eight years of experience building and managing data implementation processes for enterprise software – within data science and/or event ticketing applications is a plus. • Experience managing a data solutions, analytics engineering, implementation services, or similar cross functional team that partners with engineering, data science, and customer success functions. • Product management experience relating to data ingestion, classification, review, and validation. • Excellent ability to communicate technical concepts and strategies across key internal and external technical and executive stakeholders. • Background in data architecture (lakes, warehouses), data engineering pipelines (ETL/ELT), and cloud platforms (AWS) and experience with Python, SQL, and BI software (e.g. Tableau). • Experience working with and managing project management tools (e.g. Jira, Confluence). • Experience with ticketing system data (e.g. Tickets.com, Ticketmaster) is a plus. • Familiarity and good judgment with a broad range of statistical modeling methodologies and tools is a plus. • Possess excellent reasoning, problem-solving, and creative thinking skills. • Demonstrated ability to meaningfully generate value in an entrepreneurial environment.

🏖️ Benefits

• Medical, dental, and vision insurance • 401(k) with employer match • Paid parental leave (up to 14 weeks) • Flexible PTO