Manager, Product Analytics and Experimentation at Live Nation Entertainment | CA, US | Rezi

Manager, Product Analytics and Experimentation at Live Nation Entertainment

Manager, Product Analytics and Experimentation

Live Nation Entertainment · CA, US

1 weeks ago

Manager, Product Analytics and Experimentation

Live Nation Entertainment · CA, US

12 days ago
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About the Role

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, and turning learnings into product recommendations.

Responsibilities

  • 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.

Requirements

  • 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 to spot and address common experimentation pitfalls, such as sample ratio mismatch, peeking, novelty effects, and interaction effects between concurrent tests.
  • Ability to design and run complex product experiments, including A/B and multivariate tests.
  • Advanced proficiency with AI tools and LLMs to speed up and scale analytics work, such as writing and debugging queries, automating recurring analysis and reporting, generating test hypotheses, and summarizing results. Strong judgment to check AI output for accuracy.
  • Experience with digital analytics tools such as Google Analytics and Contentsquare.
  • Advanced SQL proficiency, with hands-on experience in Databricks and Google BigQuery.
  • Excellent communication and presentation skills, with the ability to turn complex analytical and experimental findings into clear, compelling stories for non-technical audiences.
  • Partners with stakeholders to understand their needs, build analytical frameworks, and deliver data-driven strategic insights.
  • Coaches and enables others, helping teams build confidence and skill in experimentation.
  • Builds rapport and trust with diverse team members.
  • Brings curiosity and intellectual honesty, and is willing to let the data challenge assumptions, including their own.
  • Is open to diverse perspectives and ideas.
  • Focuses on the highest-impact work.
  • Manages time well to meet deadlines and commitments.
  • Adapts to changing priorities and environments.
  • Stays resilient through setbacks and obstacles.

Skills

  • Optimizely
  • AI tools
  • LLMs
  • Google Analytics
  • Contentsquare
  • SQL
  • Databricks
  • Google BigQuery
  • Statistical analysis
  • Experimentation
  • Product analytics
  • Communication
  • Presentation

Location

  • US- Remote

Work Type

  • Remote
  • Contract

Experience Level

  • Manager
  • Experienced

Salary/Compensations

  • $120,000.00 USD - $150,000.00 USD

Benefits

  • Medical, vision, dental and mental health benefits
  • Health care concierge
  • Flexible or Health Savings Accounts (FSA or HSA)
  • Free concert tickets
  • Generous paid time off including paid holidays, sick time, and personal days
  • 401(k) program with company match
  • Stock reimbursement program
  • New parent programs including caregiver leave
  • Fertility, adoption, foster, or surrogacy support
  • Career and skill development programs
  • Tuition reimbursement
  • Student loan repayment
  • Volunteer time off
  • Crowdfunding match

About the Company

  • Ticketmaster is the world’s largest ticket marketplace and the global market leader in live event ticketing products and services.
  • Through official partnerships with thousands of venues, artists, sports teams, festivals, performing arts centers and theaters, Ticketmaster processes 550 million tickets per year across 35+ different countries.
  • We do it all with an intense passion for Live and an inspiring and diverse culture driven by accessible leaders, attentive managers, and enthusiastic teams.
  • Our mission at Ticketmaster is to connect people around the world to the live events they love.

Equal Opportunity

  • Ticketmaster strongly supports equal employment opportunity for all applicants regardless of age (40 and over), ancestry, color, religious creed (including religious dress and grooming practices), family and medical care leave or the denial of family and medical care leave, mental or physical disability (including HIV and AIDS), marital status, domestic partner status, medical condition (including cancer and genetic characteristics), genetic information, military and veteran status, political affiliation, national origin (including language use restrictions), citizenship, race, sex (including pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), gender, gender identity, and gender expression, sexual orientation, intersectionality, or any other basis protected by applicable federal, state or local law, rule, ordinance or regulation.
  • We will consider qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Ordinance, San Francisco Fair Chance Ordinance and the California Fair Chance Act and consistent with other similar and / or applicable laws in other areas.
  • We also afford equal employment opportunities to qualified individuals with a disability.
  • For this reason, Ticketmaster will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant consistent with its legal obligations to do so, including reasonable accommodations related to pregnancy in accordance with applicable local, state and / or federal law.
  • As part of its commitment to make reasonable accommodations, Ticketmaster also wishes to participate in a timely, good faith, interactive process with a disabled applicant to determine effective reasonable accommodations, if any, which can be made in response to a request for accommodations.
  • Applicants are invited to identify reasonable accommodations that can be made to assist them to perform the essential functions of the position they seek.
  • Any applicant who requires an accommodation in order to perform the essential functions of the job should contact a Human Resources Representative to request the opportunity to participate in a timely interactive process.
  • Ticketmaster will also provide reasonable religious accommodations on a case-by-case basis.