Manager, Global Product Analytics, Data Science

Ticketmaster

Manager of Global Product Analytics and Data Science at Ticketmaster delivering data-driven insights for product strategy. Collaborating across teams to optimize fan experiences and drive business growth.

Posted 6/26/2026full-timeRemote • Arizona, Florida, Iowa, Kansas, Kentucky, Louisiana, North Carolina, Pennsylvania, Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

BigQueryCloudPythonSQL

About the role

Key responsibilities & impact

Collaborate with cross-functional teams to define and measure key product metrics aligned with business objectives.
Lead data science workstreams including predictive modeling, segmentation, and forecasting to drive product decisions and revenue impact.
Evaluate and prototype AI-powered analytical solutions that support forecasting, product optimization, and operational efficiency.
Utilize data analysis to uncover trends, patterns, and opportunities that influence product strategy and experience optimization.
Translate business requirements into scalable analytical solutions and measurement frameworks.
Develop dashboards and recurring analyses to monitor product performance and proactively surface opportunities for revenue and experience improvement.
Present findings and recommendations to technical and non-technical audiences in a clear and compelling manner.
Support data governance and ensure the accuracy, reliability, and consistency of analytics reporting.
Partner with Product, Design, Engineering, and Marketing teams to support roadmap prioritization and business planning.

Requirements

What you’ll need

Exceptional communication and storytelling skills with the ability to translate complex data science and analytical findings into clear, compelling narratives for senior executives.
Advanced proficiency in Python applied to statistical modeling, predictive analytics, segmentation, forecasting, and machine learning in a product or digital analytics context.
Hands-on experience with generative AI, LLM applications, and AI-enabled analytics workflows, with a track record of applying these to improve analytical outcomes.
Strong expertise in SQL and Google BigQuery.
Experience working with large-scale datasets and cloud-based platforms such as Databricks.
Hands-on experience with digital analytics platforms such as Adobe Analytics, Google Analytics, Contentsquare, Monetate, or Mixpanel.
Familiarity with A/B and multivariate experimentation frameworks.
Bachelor’s degree in Analytics, Statistics, Economics, Computer Science, or equivalent practical experience.

Benefits

Comp & perks

Medical, vision, dental and mental health benefits for you and your family, with access to a health care concierge, and 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, plus fertility, adoption, foster, or surrogacy support
Career and skill development programs with School of Live, tuition reimbursement, and student loan repayment
Volunteer time off, crowdfunding match

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Pythonstatistical modelingpredictive analyticssegmentationforecastingmachine learningSQLGoogle BigQuerygenerative AIA/B testing

Soft Skills

communication skillsstorytelling skillstranslating complex datapresentation skills