Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Ticketmaster

Lead Data Engineer, AI Platform

Ticketmaster

Lead Data & AI Platform Engineer responsible for designing scalable platforms at Ticketmaster. Focusing on data-driven insights and AI capabilities to enhance customer operations globally.

Posted 6/13/2026full-timeRemote • 🇬🇧 United KingdomSeniorWebsite

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
data engineeringanalytics engineeringmachine learningnatural language processinggenerative AIdata pipelinesPythonstatisticsoperational analyticscloud data platforms
Soft Skills
technical leadershipcoachingguidance
Tools & Technologies
DatabricksSparkZendeskFive9Ameliaconversational AI tooling
Industry Keywords
data qualitygovernance frameworksenterprise-scalecustomer operationsexecutive-level reporting

Tech Stack

Tools & technologies
CloudPythonSpark

About the role

Key responsibilities & impact
  • Lead the design and evolution of scalable data, analytics, and AI platforms that support customer operations
  • Architect and optimize Databricks-based data pipelines and enterprise data platforms
  • Drive the development of machine learning, NLP, Generative AI, and operational intelligence capabilities
  • Deliver actionable insights and executive-level reporting that inform strategic decision-making
  • Establish engineering standards, governance frameworks, and best practices for data quality
  • Provide technical leadership, coaching, and day-to-day guidance to engineers and data scientists

Requirements

What you’ll need
  • Strong experience designing scalable data platforms
  • Proven experience as a Data Engineer, Analytics Engineer, Data Scientist, Machine Learning Engineer, AI Engineer, or related technical leadership role
  • Strong experience with Databricks, Spark, cloud data platforms, and enterprise-scale data pipelines
  • Experience developing AI/ML solutions using Python and modern data science frameworks
  • Strong background in statistics, machine learning, NLP, forecasting, and operational analytics
  • Experience supporting global or enterprise-scale customer operations environments
  • Knowledge of contact center platforms such as Zendesk, Five9, Amelia, or conversational AI tooling

Benefits

Comp & perks
  • Inclusive environment
  • Opportunities for professional and personal development