SVP - Data Engineering, Data Science & Analytics

AXS • San Francisco, CA

1d • $450,000 - $500,000 • Hybrid

About The Position

The Senior Vice President of Data Engineering, Data Science & Analytics will lead AXS' global data organization and own the strategy, platforms, models, and insights that support personalization, pricing, fraud prevention, forecasting, and decision-making across the business. The scope includes the data lake and warehouse, streaming and batch pipelines, machine learning and AI models, business intelligence and reporting, and governance practices that provide trusted data to Product, Marketing, Finance, Operations, and executive leadership.

The role will define a unified vision and roadmap connecting data infrastructure, advanced analytics, and data science. It will ensure the organization scales with transaction volume while remaining secure, compliant, and cost-effective, and that investments deliver measurable business impact. The SVP will partner closely with the CTO, SVP of Software Engineering, Product, and business leaders, and will build and scale a multidisciplinary team. As a senior, visible executive, the leader will champion a data-driven culture, encourage innovation and scientific rigor, and help maintain data and AI as a competitive advantage for AXS.

Requirements

• 15+ years of experience 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 machine learning systems for 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 such as Snowflake, Redshift, or BigQuery; orchestration such as Airflow or dbt; streaming such as Kafka or 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 such as 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 and 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.

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 and warehouse architecture for performance, cost efficiency, and reliability.
• Lead data science 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 analytics, delivering self-service BI, executive dashboards, KPI frameworks, and A/B testing capabilities that support company decisions.
• 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 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, ensuring financial accountability and sustainable growth.

Benefits

• Eligible for the current executive bonus plan.
• Medical, dental, and vision insurance.
• Paid holidays, vacation, and sick time.
• Company-paid basic life insurance and voluntary life options.
• Parental leave.
• 401(k) plan.
• Flexible spending and health savings accounts.
• Wellness offerings.
• Training and education reimbursement.
• Employee Resource Groups that foster connection, inclusion, and professional growth.
• Volunteer opportunities and community engagement programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: No Education Listed