首席数据与AI平台工程师（远程，英国）

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.

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 Senior 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.

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 Product, Operations, Engineering, and AI teams to align technology investments with business objectives and long-term strategy.

Provide technical leadership, coaching, and day-to-day guidance to engineers and data scientists, supporting professional development, delivery excellence, and adoption of best practices across data, analytics, and AI initiatives.

Strong experience designing scalable data platforms, enterprise data architectures, and Databricks-based operational intelligence solutions.

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.

Deep understanding of conversational AI ecosystems, intent modeling, NLU analytics, and AI performance measurement.

Experience implementing CI/CD frameworks, version control, automated testing, and DevOps best practices.

Experience building scalable dashboards and reporting solutions using BI tools and modern visualization frameworks.

Ability to independently lead complex initiatives with competing priorities and organizational visibility.

Strong communication, stakeholder management, and problem-solving skills.

Experience with Generative AI, LLM orchestration, prompt engineering, or AI-assisted automation workflows

Knowledge of contact center platforms such as Zendesk, Five9, Amelia, or conversational AI tooling ecosystems

You take ownership of complex initiatives and deliver results that drive meaningful business impact.

You build strong partnerships and influence outcomes across technical and business teams.

You balance strategic thinking with hands-on execution, navigating ambiguity and making sound decisions.

You provide technical leadership, coaching, and mentorship that helps others grow and succeed.

You establish scalable solutions, standards, and best practices that improve organizational capability.

You communicate clearly, build trust, and foster a culture of accountability, collaboration, and continuous improvement.

We are proud to be a part of Live Nation Entertainment, the world’s largest live entertainment company.

Our vision at Ticketmaster is to connect people around the world to the live events they love. As the world’s largest ticket marketplace and the leading global provider of enterprise tools and services for the live entertainment business, we are uniquely positioned to successfully deliver on that vision.

We do it all with an intense passion for Live and an inspiring and diverse culture driven by accessible leaders, attentive managers, and enthusiastic teams. If you’re passionate about live entertainment like we are, and you want to work at a company dedicated to helping millions of fans experience it, we want to hear from you.

Reliability - We understand that fans and clients rely on us to power their live event experiences, and we rely on each other to make it happen.

Teamwork - We believe individual achievement pales in comparison to the level of success that can be achieved by a team

Integrity - We are committed to the highest moral and ethical standards on behalf of the countless partners and stakeholders we represent

Belonging - We are committed to building a culture in which all people can be their authentic selves, have an equal voice and opportunities to thrive

We are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. You will be working in an inclusive environment and be encouraged to bring your whole self to work. We will do all that we can to help you successfully balance your work and homelife. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. It's talent that matters to us and we encourage applications from people irrespective of their gender, race, sexual orientation, religion, age, disability status or caring responsibilities.

The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

Ticketmaster recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. Ticketmaster may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, internet recruiting, job fairs, college recruiting and search firms. Ticketmaster may use artificial intelligence (AI) tools to support application screening and assessment. All hiring decisions are made with human review.

- Strong technical expertise in building and operating reliable, scalable software and data systems

- Ability to partner effectively with product, operations, engineering, workforce management, and AI teams

- Business acumen to translate technical solutions into improved customer experience and operational efficiency

- Background in high-volume customer support or contact center technology environments (preferred)