LN Media & Sponsorship || Product Manager

Live Nation Entertainment•New York, NY

1d•$120,000 - $140,000

About The Position

The Data Analytics team is seeking a Product Manager to serve as the team’s dedicated product lead. You will own what we build and why — defining the vision, strategy, and roadmap for our data products and leading the rollout of a new generation of AI-enabled tools from a product perspective. You will act as the product counterpart to our technical builders and as the connective tissue between the analytics team and business stakeholders across the organization.

Requirements

5+ years of product management experience building data, analytics, AI, or other technically complex products.
Proven success leading cross-functional initiatives within a large organization and delivering at pace.
A steady, decisive leadership style with strong judgment, ownership, and the ability to operate effectively in uncertainty.
Experience working with data, analytics, engineering, or data science teams to develop enterprise products.
Ability to translate complex technical concepts into clear business requirements and influence technical and non-technical stakeholders.
Bachelor’s degree in a relevant field or equivalent practical experience.

Nice To Haves

Master’s degree or other postgraduate education.
Technical fluency — working knowledge of data science & data analytics processes to validate data, metrics, and analytical outputs (a deep engineering background is not required).
Up-to-date knowledge of emerging AI/LLM technologies and vendor ecosystems. Proficiency in leveraging agentic workflows for data analysis, data storytelling and product management.
Experience evaluating enterprise data and AI platforms and vendors.
Experience in media, entertainment, advertising, sponsorship, or audience analytics.

Responsibilities

Own the product vision, strategy, and roadmap for the Data Analytics team’s data, analytics, and AI products.
Translate complex stakeholder needs into clear priorities and product requirements, balancing business value, user needs, technical feasibility, and speed.
Lead the development and rollout of AI-native analytics capabilities, partnering across engineering, data science, analytics, and business teams.
Navigate ambiguity, create clarity, and drive complex initiatives forward with urgency in a large, matrixed organization.
Define success metrics, drive adoption and change management, and continuously improve products based on user feedback and data.
Communicate priorities, trade-offs, and recommendations to senior stakeholders, including build-versus-buy decisions.