SVP - Data Engineering, Data Science & Analytics

AXS is seeking a Senior Vice President of Data Engineering, Data Science & Analytics to lead its global data organization. The role owns the strategy, platforms, models, and insights that power personalization, pricing, fraud prevention, forecasting, and decision-making across the business, spanning the data lake and warehouse, streaming and batch pipelines, machine learning and AI models, business intelligence and reporting, and data governance. The leader will define a unified data vision and roadmap, work closely with the CTO, SVP of Software Engineering, Product, and business leaders, and build a world-class, multidisciplinary team. The position is hybrid and does not offer work visa sponsorship.

Responsibilities

Partner with the CTO and executive leadership to define and advance AXS' enterprise data, analytics, and AI strategy; Own an integrated roadmap across data platforms, data science, and analytics, balancing long-term vision with near-term priorities in personalization, pricing, fraud, and reporting; Oversee the design, build, and operation of scalable batch and real-time data pipelines and the evolution of the data lake/warehouse architecture for performance, cost efficiency, and reliability; Lead the data science function in developing and deploying machine learning and AI models for personalization, dynamic pricing, demand forecasting, fraud detection, and customer lifetime value, with mature MLOps practices; Build and scale the analytics function, delivering self-service BI, executive dashboards, KPI frameworks, and experimentation (A/B testing) capabilities; Establish and enforce data governance, quality, lineage, privacy, and responsible AI standards, ensuring compliance with relevant data privacy and payment regulations; Build and empower a high-performing global organization of data engineers, data scientists, and analysts; Collaborate with Product, Ticketing Strategy, Marketing, Finance, AEG, and other partners to identify high-value opportunities and embed data and models into products and operations; Drive operational excellence through best practices, disciplined execution, and process improvements that increase reliability, reduce data downtime, and shorten time-to-insight; Communicate strategy, progress, and business impact clearly to the CTO, executive team, and board-level stakeholders; Manage operating budgets, headcount, and vendor spend effectively, ensuring financial accountability and sustainable growth

Requirements

15+ years in high-growth technology, including 8+ years leading data organizations spanning data engineering, data science, and/or analytics at scale; Experience building high-volume data platforms and production ML systems supporting consumer-facing, e-commerce, or transactional businesses; Demonstrated success defining and delivering data and AI roadmaps, managing multiple initiatives end-to-end, and scaling multidisciplinary organizations; Strong background with modern data stacks, including data warehousing (Snowflake, Redshift, or BigQuery), orchestration (Airflow, dbt), streaming (Kafka, Kinesis), and cloud platforms (preferably AWS); Deep understanding of statistical modeling, machine learning, experimentation design, and MLOps, with a track record of models that drive measurable revenue or cost outcomes; Experience building analytics functions, KPI frameworks, and BI platforms (Tableau, Looker, Power BI, or similar); Expertise in data quality, observability, lineage, and security practices, including compliance with data privacy and payment card standards; Deep knowledge of Agile practices with a proven ability to optimize processes, define KPIs, and improve delivery at scale; Success leading distributed, diverse teams worldwide and building collaborative, high-performance cultures; Strong ability to partner with Product, Engineering, Finance, and Business Operations, translating complex data into clear business strategy for executive audiences; Experience managing third-party vendors and outsourcing partnerships, ensuring quality, accountability, and alignment with strategic goals

Benefits

Bonus eligible under the current executive bonus plan; Medical, dental, and vision insurance; Paid holidays, vacation, and sick time; Company-paid basic life insurance plus voluntary life options; Parental leave; 401(k) plan; Flexible spending and health savings accounts; Wellness offerings; Training and education reimbursement; Employee Resource Groups (ERGs); Volunteer opportunities and community engagement programs