Manager, Global Product Analytics and Data Science

Live Nation Entertainment•Winnipeg, FL

6d•Remote

About The Position

The Global Product Analytics team at Ticketmaster partners across Product, Design, Engineering, Marketing, Strategy, and Finance to shape the fan experience and drive business growth at scale. The team leverages experimentation, behavioral analytics, predictive modeling, and AI-powered insights to inform product strategy, optimize digital experiences, and support smarter decision-making across global markets. As a highly collaborative and fast-evolving organization, the team plays a critical role in driving innovation and measurable business impact through analytical storytelling and strategic partnership. Team members solve complex problems, identify growth opportunities, and help clients and millions of fans connect with the live events they love. We are seeking an experienced manager-level analyst to join the Global Product Analytics team. As a Manager, Product Analytics and Data Science, you will deliver data-science driven analytical guidance that informs product development, experimentation, and fan experience optimization. You will work across complex datasets, analytics platforms, and AI-enabled workflows to support high-impact product decisions and business initiatives. This is an exciting opportunity to join a fast-paced and highly visible analytics organization at Ticketmaster. The Product Analytics team is rapidly evolving its capabilities across experimentation, predictive analytics, AI applications, and digital product strategy, helping shape the future of fan and client experiences through innovation and scalable analytics solutions. The ideal candidate brings strong data science fundamentals, hands-on AI fluency, and the analytical instincts to translate complex modeling work into clear product impact.

Requirements

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.
Ability to partner with stakeholders to understand their use cases, develop analytical frameworks, and provide data-driven strategic business insights.
Ability to build rapport and trust with diverse team members and stakeholders.
Openness to diverse perspectives and ideas.
Ability to identify and focus on high-impact tasks and goals.
Strong organizational and time management skills with the ability to meet deadlines and commitments.
Flexibility to adjust to changing priorities and evolving business environments.
Resilience in the face of setbacks or obstacles.
Strong problem-solving mindset with intellectual curiosity and attention to detail.
Ability to work collaboratively and contribute positively within a team-oriented environment.
Demonstrates Ticketmaster values through reliability, teamwork, integrity, and belonging.

Responsibilities

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.