Director, Product Analytics

Gametime United

About The Position

Live experiences help people cross today’s digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that’s bringing us together. To fulfill Gametime’s mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most. With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life. Role Purpose As the Director of Product Analytics, you will lead the function responsible for elevating product decision-making across Gametime. You are a strategic co-pilot to the cross-functional product development organization, owning the analytics roadmap and building the frameworks that help us ship high-quality, high-impact features faster. You will lead a high-performing team to decode fan behavior, optimize the marketplace funnel, and drive massive scale through rigorous experimentation and AI-driven personalization.

Requirements

Experience: 8–10+ years in product analytics or data science, with 4+ years leading high-performing analytics teams in a fast-paced B2C environment.
Marketplace Intuition: Strong product sense; able to pair qualitative fan feedback with quantitative rigor to identify the next big growth lever.
Experimentation Expertise: Proven track record of running high-velocity experimentation at scale. Experience with AI-driven product testing is a significant plus.
Technical Mastery: Expert SQL and experience with modern analytics stacks (e.g., Snowflake, dbt, Looker/Sigma).
Communication: Exceptional ability to communicate with executives; you can turn "data noise" into a compelling strategic story.
Education: Bachelor’s degree in a quantitative field (Math, CS, Economics); advanced degree preferred.

Responsibilities

Strategic Leadership & Product Partnership
Roadmap Influence: Synthesize marketplace dynamics, user behavior, and experiment signals into clear recommendations; influence major roadmap decisions.
Goal Setting: Partner with Product, Design, and Engineering leaders to co-create goals. Ensure every feature has an impact plan.
Executive Storytelling: Distill complex marketplace data into crisp, strategic narratives to drive alignment on "where to play and how to win."
Experimentation & Product Velocity
Center of Excellence: Lead Gametime’s experimentation design and strategy. Standardize how we run A/B and multivariate tests to ensure we are learning at the speed of the marketplace.
AI & Personalization Quality: Co-own the data-driven design of AI features (e.g., personalized event recommendations). Establish benchmarks for AI quality to ensure relevance and conversion.
Self-Serve Enablement: Drive product velocity by building self-serve capabilities, allowing PMs and Designers to access real-time insights without a bottleneck.
User Behavior & Lifecycle Analytics
Fan Journey Mapping: Deeply understand the fan's path from app-open to ticket-scan. Identify friction points in the checkout and discovery flows to increase conversion.
Retention & LTV: Build the frameworks to measure and influence long-term retention and customer lifetime value, moving beyond one-off purchases to habitual usage.
Instrumentation Governance: Oversee the data quality and tracking strategy (e.g., Hightouch) to ensure our product data is the "source of truth."