The RoleThe Senior Vice President of Data Engineering, Data Science & Analytics will lead AXS' global data organization, owning the strategy, platforms, models, and insights that power personalization, pricing, fraud prevention, forecasting, and decision-making across the business. This spans our data lake and warehouse, streaming and batch pipelines, machine learning and AI models, business intelligence and reporting, and the governance practices that make trusted data available to Product, Marketing, Finance, Operations, and executive leadership.
This leader will define a unified vision and roadmap that connects data infrastructure, advanced analytics, and data science, ensuring the organization scales with transaction volume while remaining secure, compliant, and cost-effective - and that every investment translates into measurable business impact.
Success in this role requires close partnership with the CTO, SVP of Software Engineering, Product, and business leaders, as well as the ability to inspire, grow, and scale a world-class, multidisciplinary team. As a senior executive and visible leader, the SVP will champion a data-driven culture, foster innovation and scientific rigor, and ensure data and AI remain a competitive advantage for AXS.
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 our 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 that drive decisions across the company.
- 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, fostering a culture of innovation, collaboration, and continuous learning.
- 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.
Skills & Experience- Proven Executive Leadership: 15+ years in high-growth technology, including 8+ years leading data organizations spanning data engineering, data science, and/or analytics at scale.
- Data & AI at Scale: Experience building high-volume data platforms and production ML systems supporting consumer-facing, e-commerce, or transactional businesses.
- Strategic Execution: Demonstrated success defining and delivering data and AI roadmaps, managing multiple initiatives end-to-end, and scaling multidisciplinary organizations.
- Technical Depth: Strong background with modern data stacks - data warehousing (Snowflake, Redshift, or BigQuery), orchestration (Airflow, dbt), streaming (Kafka, Kinesis), and cloud platforms (preferably AWS).
- Data Science & ML: Deep understanding of statistical modeling, machine learning, experimentation design, and MLOps, with a track record of models that drive measurable revenue or cost outcomes.
- Analytics & BI: Experience building analytics functions, KPI frameworks, and BI platforms (Tableau, Looker, Power BI, or similar) that enable data-driven decision-making at every level.
- Reliability & Governance: Expertise in data quality, observability, lineage, and security practices, including compliance with data privacy and payment card standards.
- Operational Excellence: Deep knowledge of Agile practices with a proven ability to optimize processes, define KPIs, and improve delivery at scale.
- Global Team Leadership: Success leading distributed, diverse teams worldwide and building collaborative, high-performance cultures.
- Executive Influence: Strong ability to partner with Product, Engineering, Finance, and Business Operations, translating complex data into clear business strategy for executive audiences.
- Vendor & Outsourcing Management: Experience managing third-party vendors and outsourcing partnerships, ensuring quality, accountability, and alignment with strategic goals.
Pay & Benefits- Compensation: $410,000 - $450,000
- Bonus: Eligible under the current executive bonus plan
- Benefits: Comprehensive package including:
o Medical, dental, and vision insurance
o Paid holidays, vacation, and sick time
o Company-paid basic life insurance + voluntary life options
o Parental leave
o 401(k) plan
o Flexible spending and health savings accounts
o Wellness offerings
*Employer does not offer work visa sponsorship for this position.What's in it for You?- Extraordinary People - we're not kidding!
- Meaningful Mission- Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
- Development and Learning - Opportunities for learning and leveling up through training and education reimbursement.
- Community & Belonging -A range of Employee Resource Groups (ERGs) that foster connection, inclusion, and professional growth. Access to meaningful volunteer opportunities and community engagement programs to make a positive impact beyond the workplace.
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