SVP - Data Engineering, Data Science & Analytics

AXS • San Francisco, CA

19h • 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 business decision-making. The remit covers the 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 across the company.

The SVP will define a unified vision and roadmap connecting data infrastructure, advanced analytics, and data science. The organization must scale with transaction volume while remaining secure, compliant, and cost-effective, with investments tied to measurable business impact. The role partners closely with the CTO, SVP of Software Engineering, Product, and business leaders, and leads the growth of a world-class multidisciplinary global team. As a senior executive and visible leader, the SVP will champion a data-driven culture, encourage innovation and scientific rigor, and ensure data and AI remain 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 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 driving 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 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 and translate 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 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, supported by mature MLOps practices.
• Build and scale analytics, delivering self-service BI, executive dashboards, KPI frameworks, and A/B testing capabilities that drive 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 effectively, 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