SVP - Data Engineering, Data Science & Analytics

AXS - Los Angeles, CAFull-time$450k–$500k2026-10-23 → 2026-11-10

No visa sponsorship

Core

Lead the global data organization to unify data platforms, models, and insights for personalization, pricing, fraud prevention, and forecasting.

Role type

SVP, Data Engineering, Data Science & Analytics

Builds

Enterprise data platforms, production ML systems, and analytics capabilities for a global live event ticketing business.

Domain

Live entertainment e-commerce / Data & AI

Deliverable

production ML models

Required skills

Executive leadership, data platform architecture, machine learning & MLOps, data governance, strategic roadmap execution, global team management, vendor management

Preferred skills

Experience with Snowflake/Redshift/BigQuery, Airflow/dbt, Kafka/Kinesis, AWS, Tableau/Looker/Power BI

Technologies

Snowflake, Redshift, BigQuery, Airflow, dbt, Kafka, Kinesis, AWS, Tableau, Looker, Power BI

Responsibilities

Define enterprise data and AI strategy; oversee scalable batch and real-time pipeline design; lead ML model development for personalization and fraud; build self-service BI and experimentation capabilities; enforce data governance and privacy standards; manage global data teams and budgets.

Seniority

SVP, executive leadership

About axs

AXS, a subsidiary of AEG, sells millions of tickets each year for 1600+ premier venues, sports teams, and event organizers across North America, Europe, Asia, Australia and New Zealand. Headquartered in Downtown Los Angeles, California, AXS employs more than 900 professionals in multiple locations worldwide. In each location you’ll find a team of dedicated, diverse employees (we’ve dubbed ourselves “Fanatix”) who create groundbreaking products and services in a fun, fast-paced environment. 