Head of Data

About us

Xpend Marketing builds advanced marketing solutions that help brands scale fast. We work with leading companies in high-performance industries, supporting their growth across the entire funnel - from acquisition to retention. Our team specializes in performance marketing, paid social, and large-scale campaign management, operating across global markets and high budgets.

With a strong focus on data, speed, and continuous optimization, we enable our partners to launch, test, and scale campaigns that drive real results.

We’re looking for a hands-on data leader to own our BI/BA and data engineering stack end-to-end, while driving commercial insights across CRM, player acquisition, value, and risk. This role sits at the intersection of data infrastructure, analytics, and revenue optimization. You will lead the BA/BI team, build scalable data pipelines, and work closely with CRM, Product, Fraud, and Marketing teams to directly impact revenue, player experience, and risk.

Key Responsibilities

Data Infrastructure & Engineering

• Design, build, and maintain scalable data pipelines (real-time + batch)
• Own the data stack (warehouse, ETL/ELT, event tracking, data quality)
• Ensure clean, reliable, and timely data across all core systems
• Drive migration/improvements (e.g., Snowflake, real-time streaming)

BI & Analytics Leadership

• Lead and scale the BI/BA team
• Own core business dashboards (GGR, NGR, LTV, retention, cohorts)
• Move from reporting to actionable insights
• Optimize current process using AI and Automation

Player Value & Monetization Analytics

• Build and own LTV models, churn and segmentation
• Analyze player behavior and monetization drivers
• Support CRM with bonus optimization and targeting
• Improve player acquisition measurement and attribution
• Improve conversion funnels

Fraud, Abuse & Risk Analytics

• Detect bonus abuse, betting patterns, and fraud
• Build detection models and rules
• Support automated risk decisioning

Experimentation & Attribution

• Own A/B testing and measurement
• Connect attribution with on-site behavior and revenue
• Build full-funnel visibility

AI & Modeling

• Apply ML/AI for LTV, churn, offer optimization, and risk
• Design and maintain feature pipelines using behavioral, transactional, and gameplay data

Requirements

• 5+ years in Data / BI / Data Engineering
• Gaming or high-volume B2C experience preferred
• Experience in both engineering and analytics
• Technical Skills
• Strong SQL
• Python
• Experience with Snowflake, Redshift, or BigQuery
• ETL/ELT and data modeling
• Real-time processing (advantage)