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Leap Event Technology · 3 hours ago

Product Manager, Data & Analytics

United States

Full-time

Remote

Senior Level

5+ years exp

Leap Event Technology is revolutionizing the event technology industry by empowering organizers to create engaging experiences. The Product Manager, Data & Analytics is responsible for leading the data platform across the company's products and driving innovation in how data is leveraged to provide insights to event organizers.

ArtCRMEnterprise SoftwareSportsTicketing

Growth Opportunities

Responsibilities

Driving the company’s data initiative forward to deliver value

Ensure all relevant data is properly getting ingested into our data platform

Ensure our data platform is compliant with data privacy and security regulations

Shape the data infrastructure to meet the quality, discoverability, and format requirements necessary for machine learning and AI models

Drive innovation in the live event space and how we leverage data to provide insights to event organizers, helping them achieve their outcomes, as well as Leap’s business objectives

Maintaining the Data and Analytics product roadmap, prioritizing based on ROI

Ensuring a discovery and research period is leveraged to ensure we’re delivering the right solutions based on market and client needs

Understand the data needs of different audiences and where that falls in priority - internal stakeholders, leadership, and various tiers of clients

Partnering with other product managers to collectively achieve outcomes where dependencies and competing priorities need to be coordinated across teams

Collaborating with other stakeholders to align on priorities and identify market opportunities

Manage the day-to-day product management duties for our Data Platform and Analyst teams

Manage two workstreams - one for our data engineering team and another for our analyst team that manages our data visualizations / dashboards

Gather and incorporate feedback into product feature requirements

Work with both onshore and offshore development resources (Tech Lead is located in the US)

Manage data and custom development requests, both internal and for external clients

Ensure solutions are designed to work across the Leap product suite, as appropriate

Acting as a subject matter expert and internal evangelist in the data and analytics space here at Leap

Stay up-to-date on topics related to data and analytics

Encourage others at the organization to leverage best practices around data usage and analytics requests

Maintain high standards around data integrity and what we’re leveraging in our data platform

Qualification

Product managementData platform architectureData visualization toolsData governance best practicesScrum methodologiesCross-functional collaborationStakeholder managementTechnical requirements translationCommunication trade-offsData integrity standardsMarket opportunity identificationEvent technology knowledgePresentation skillsFeedback incorporation

Required

5+ years experience in product management

5+ years managing data or analytics products

3+ years working cross-product / cross-platform

Experience working with large, disparate data sources

Experience working with data visualization tools

General knowledge of data governance best practices

Strong presentation skills for a variety of audiences, including senior leadership

Proven record delivering solutions with measurable impact

Experience leading product development teams using Scrum methodologies, including running ceremonies (sprint planning, standups, retrospectives), managing backlogs, and facilitating workshops and requirements gathering sessions

Ability to work with cross-functional stakeholders (engineering, design, business teams), gather requirements from non-technical users, manage expectations, and communicate trade-offs

Ability to translate business objectives into technical requirements and product roadmaps while balancing competing priorities

Knowledge and understanding of data platform architecture (data warehouses, lakes, ETL/ELT pipelines, reverse ETL), data modeling, and analytics software

Preferred

Experience with Jira

Experience building data platforms

Experience building unified consumer profiles via identity resolution across multiple data sources

Experience in one or more of the following domains: Large consumer marketplace products with an understanding of multi-sided platforms (buyer/seller dynamics), high-volume transaction systems, and consumer-to-business interactions

Live events, ticketing, entertainment, or similar industries with an understanding of inventory management, booking systems, and seasonal demand patterns

Marketing automation systems including building audience segmentation and targeting capabilities, attribution modeling, and customer data platforms (CDPs)

Reporting and analytics products including designing dashboards for diverse stakeholders (executives, analysts, operational teams), implementing self-service analytics capabilities, and experience with BI tools (Tableau, Looker, Omni)