Zhe Liu

Lead analytics engineering at Meta, measuring developer effectiveness of AI coding tools - Claude Code, Codex, and internal LLM tooling at scale. Develop the data layer that translates raw telemetry into canonical datasets and product data marts; trusted metrics for adoption, acceptance rate, time-to-merge, and quality impact. Partner with Data Science, PM, and Engineering to turn noisy developer signals into the data foundations driving Meta's AI tooling decisions.

Led Product Analytics for FinTech - the analytics suite enterprise finance teams use for cost allocation, close cycles, and executive financial reporting. Rebuilt underlying financial data marts; improved cost allocation accuracy and shortened close cycles. Partnered with engineering, data science, and UX to redesign end-to-end finance data workflows for faster analysis and broader adoption.

Built and scaled the AWS Product Analytics team that supported 10+ product teams across Serverless and Container services (Lambda, ECS, EKS, Streaming, Messaging). Architected canonical datasets and product data marts on an AWS Lakehouse stack - S3, Glue/Spark, Athena, Redshift - with dbt-style transformation patterns; multi-terabyte daily processing, strong SLA adherence, and reduced manual data requests. Drove Gen AI impact assessment, customer churn prediction, and infrastructure optimization data products that informed product strategy and roadmap decisions across the org.

Hired and led the Products & Data org from 10 to 30+ engineers across Data Science, BI/Analytics, and Data Engineering; promoted multiple ICs into senior IC and manager roles. Built and shipped Asurion Spotlight - a B2B SaaS platform delivering recommendations and training to 50,000+ retail associates across the Top 3 US carriers. Modernized Sales & Marketing BI (300+ users migrated to Power BI/Tableau, $100K+ annual savings) and led predictive analytics including store-similarity models for sales performance.

Stepped into product management to deepen the customer side of data products - owned product strategy for Treasury risk and analytics tools. Automated high-balance loan analysis through streamlined data ingestion and dashboards, eliminating manual processing. Developed a self-service risk analysis platform integrating multiple data sources; reduced decision time from hours to minutes.

Led data engineering for Capital Markets reporting; built near-real-time platform serving 100+ financial analysts on investment strategy and risk solutions. Managed a 20-person team of engineers and analysts delivering analytics for trading, treasury, and risk management. Translated complex technical concepts into business terms through interactive prototypes; accelerated solution approval with executive stakeholders.

Led retail and consumer analytics consulting engagements for Fortune 500 clients. Delivered the CVS ExtraCare customer insight portal — analytics across 7,000+ stores and 50M cardholders — that turned the loyalty program from cost center to revenue generator. Owned end-to-end program execution: solution design, financial planning, and executive stakeholder management for multi-million-dollar data monetization initiatives.

Led customer analytics engagements at a boutique data analytics startup specializing in retail customer intelligence and loyalty analytics (acquired by Accenture in 2010). Spearheaded the Staples Customer Insight project; secured $1M+ multi-year contract by building a BI solution that identified high-potential customers and optimized retail sales performance. Delivered similar customer intelligence engagements across retail and CPG clients during a five-year tenure.