Lead Data & AI Platform Engineer - Live Nation Entertainment

Job Summary:

JOB DESCRIPTION – Lead Data & AI Platform Engineer

Location: Remote, United Kingdom

Division: Ticketmaster

Contract Terms: Permanent

THE TEAM

The engineering team builds and operates reliable, scalable software products that support high-volume customers, partners, and internal workflows. The team works closely with product, design, data, security, operations, and other engineering groups to deliver resilient systems, improve platform quality, and create better experiences for users.

THE JOB

At Ticketmaster, we are building a digital-first customer operations ecosystem powered by data, analytics, automation, and AI. As part of the Contact Center Technology team, the Lead Data & AI Platform Engineer will play a critical role in scaling the platforms and intelligence capabilities that power customer support, automation, workforce optimization, and conversational AI across global markets.

This role is responsible for designing and scaling the data, analytics, and AI platforms that power customer operations intelligence across Ticketmaster's global support ecosystem.

The position combines data engineering, operational analytics, machine learning, and technical leadership to deliver scalable solutions that improve customer experience, automation effectiveness, operational efficiency, and business decision-making. The ideal candidate combines strong technical expertise with business acumen and can independently lead complex projects that improve customer experience, operational efficiency, and AI performance.

The Lead Data & AI Platform Engineer is expected to partner cross-functionally with Product, Operations, Engineering, Workforce Management, and AI teams to deliver data-driven insights and scalable automation solutions that support organizational goals.

WHAT YOU WILL BE DOING

• Lead the design and evolution of scalable data, analytics, and AI platforms that support customer operations, automation, and operational intelligence across global markets.
• Architect and optimize Databricks-based data pipelines and enterprise data platforms that unify customer, operational, workforce, and AI datasets into trusted intelligence solutions.
• Drive the development of machine learning, NLP, Generative AI, and operational intelligence capabilities that improve customer experience, operational efficiency, and automation performance.
• Deliver actionable insights and executive-level reporting that inform strategic decision-making and identify opportunities for operational improvement.
• Establish engineering standards, governance frameworks, and best practices for data quality, platform reliability, CI/CD, and AI lifecycle management.
• Partner across Pr