Manager, Product Analytics and Experimentation
Remote / Online - Candidates ideally in
Sunnyvale, Santa Clara County, California, 94087, USA
Listed on 2026-10-29
Sunnyvale, Santa Clara County, California, 94087, USA
Listing for:
Live Nation Entertainment Inc
Full Time, Remote/Work from Home
position Listed on 2026-10-29
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager, Business Systems & Technology Analysis
Job Description & How to Apply Below
Work From Home
- California:
Work From Home
- California
- South San Francisco:
Work From Home
- California
- Sunnyvale:
Work From Home
- California
- Sonoma:
Work From Home
- Washington
- Tacoma:
Full time:
Posted Today:
JR-93808
Job Summary:
** Manager, Product Analytics and Experimentation*
* *
* Location:
** US
- Remote
** Division:
** Global Product Analytics and Experimentation
** Line Manager:
** Sr. Director, Global Product Analytics and Insights
** Contract
Terms:
** * *
* * 6 months * * *
* ** THE TEAM
** The Global Product Analytics and Experimentation team at Ticketmaster is a highly skilled, collaborative group that finds opportunities to improve the product and grow revenue through rigorous analysis, experimentation, and new ways of looking team partners with Product, Design, Engineering, Sales, Marketing, Strategy, and Finance. Our work covers fan insights, ticket sales, shopping behavior, site and app analytics, incremental revenue streams, venue and client analysis, and customer lifetime value.
** THE JOB
** We are seeking an experienced experimentation and product analytics leader to join Global Product Analytics and Experimentation. As Manager, Product Analytics and Experimentation, you will lead the development of a scalable experimentation practice that drives product decisions and improves the fan experience. This role combines strategic leadership with hands-on execution: setting experimentation standards, onboarding and enabling teams, configuring and managing tests in Optimizely, analyzing results with rigor, and turning learnings into clear product recommendations.
You will partner across Product, Design, Engineering, Research, and Analytics to make experimentation part of every stage of product development.
** WHAT YOU WILL BE DOING*
* * Lead and scale the product experimentation program, including processes, governance, measurement standards, and team onboarding.
* Serve as the hands-on subject-matter expert for Optimizely, including experiment setup, audience targeting, QA, instrumentation validation, and test monitoring.
* Partner with cross-functional teams to identify testing opportunities and design statistically sound A/B, multivariate, and other experiments.
* Interpret experiment results, explain what they mean and where they fall short, and turn findings into recommendations that shape product strategy and roadmap decisions.
* Work with stakeholders to define and measure key digital metrics tied to fan and business goals.
* Use data analysis to find trends, patterns, and opportunities that improve the end-to-end fan experience.
* Build analytics tools, methods, and self-service resources that help teams make better data-informed decisions.
* Translate business questions into analytical and experimentation solutions.
* Build strong relationships with stakeholders and counterparts across the North America Insights and Analytics organization.
* Partner with the Research team to combine behavioral, experimental, and qualitative insights into a deeper understanding of fan needs.
** WHAT YOU NEED TO KNOW (OR TECHNICAL SKILLS)*
* * Demonstrated experience leading and executing a product experimentation program, from hypothesis development and test design through implementation, analysis, and recommendations.
* Hands-on experience with Optimizely or a comparable experimentation platform, including configuring, QA-ing, launching, and monitoring experiments.
* Advanced statistical knowledge, including hypothesis testing, power analysis and sample-size planning, confidence intervals, sequential testing, multiple-comparison correction, and variance reduction techniques.
* Proven ability…
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