Manager, Product Analytics and Experimentation

Ticketmaster • Washington, DC

1d • $120,000 - $150,000 • Remote

About The Position

The Manager, Product Analytics and Experimentation will lead the development and scaling of a product experimentation practice that informs product decisions and improves the fan experience. The role combines strategic leadership with hands-on work, including setting experimentation standards, onboarding and enabling teams, configuring and managing tests in Optimizely, analyzing results rigorously, and translating findings into clear product recommendations.

The position is part of Ticketmaster’s Global Product Analytics and Experimentation team, which identifies opportunities to improve products and grow revenue through analysis, experimentation, and new approaches to data. The team partners with Product, Design, Engineering, Sales, Marketing, Strategy, and Finance, with work spanning fan insights, ticket sales, shopping behavior, site and app analytics, incremental revenue streams, venue and client analysis, and customer lifetime value.

The manager will make experimentation part of every stage of product development, partnering with Product, Design, Engineering, Research, and Analytics. The role is US remote and has a six-month contract term. Expected compensation is $120,000–$150,000 USD, depending on factors including market location, qualifications, skills, and experience.

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.
• Ability to identify and address experimentation pitfalls, including 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 for analytics tasks, with sound judgment to validate AI output for accuracy.
• Experience with digital analytics tools such as Google Analytics and Contentsquare.
• Advanced SQL proficiency and hands-on experience with Databricks and Google BigQuery.
• Excellent communication and presentation skills, including the ability to explain complex analytical and experimental findings to non-technical audiences.
• Ability to understand stakeholder needs, develop analytical frameworks, and deliver data-driven strategic insights.
• Ability to build rapport and trust with diverse team members, remain curious and intellectually honest, and consider diverse perspectives.
• Ability to prioritize high-impact work, manage time to meet commitments, adapt to changing priorities, and remain resilient through setbacks.

Responsibilities

• Lead and scale the product experimentation program, including processes, governance, measurement standards, and team onboarding.
• Serve as the hands-on Optimizely subject-matter expert, handling 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 their implications and limitations, and make recommendations that inform product strategy and roadmap decisions.
• Work with stakeholders to define and measure key digital metrics tied to fan and business goals.
• Analyze data to identify trends, patterns, and opportunities to improve the end-to-end fan experience.
• Build analytics tools, methods, and self-service resources that support data-informed decision-making.
• Translate business questions into analytical and experimentation solutions.
• Build 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.
• Coach and enable teams to build confidence and skill in experimentation.
• Use AI tools and LLMs to accelerate analytics work while checking their outputs for accuracy.

Benefits

• Medical, vision, dental, and mental health benefits for employees and family.
• Health care concierge access and Flexible Spending Accounts or Health Savings Accounts.
• Free concert tickets.
• 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 through School of Live.
• Tuition reimbursement and student loan repayment.
• Volunteer time off.
• Crowdfunding match.

What This Job Offers

• Career Level: Manager
• Education Level: No Education Listed