Ryan Pagila

Lead the Web Analytics technology pillar supporting measurement across Marketing, Product, Engineering, and Data Science. I serve as the product owner for LinkedIn’s marketing instrumentation stack, defining the strategy, roadmap, and requirements for tracking and data systems.

Drive improvements in product telemetry and experimentation measurement with the goal of increasing the Optimization team’s win rate above the current 40 percent, where each winning test contributes an estimated $2M in incremental annual bookings.

Key Contributions

• Build analysis-ready datasets and reusable query logic from Adobe Analytics hit data.
• Define and govern core metric logic for reporting used by Marketing and Data Science.
• Partner with Engineering to build pipelines, tracking implementations, and measurement frameworks.
• Lead CJA and AEP POCs to evaluate increased access to first-party data.
• Maintain data fidelity through anomaly detection, parity checks, and schema governance.
• Support Adobe Analytics users through office hours, onboarding, and templates.
• Manage governance for PII handling, data retention, and compliant data sharing.
• Led integrations with Qualtrics and Profound.

• Manager, Data Engineering
• Led a data engineering team supporting attribution, digital analytics, and retail insights.
• Improved data models, reliability, and downstream usability.
• Streamlined data delivery and analyst workflows.
• Translated business needs into scalable data engineering solutions.
• Enhanced omnichannel dataset completeness and consistency.

• Built SQL-driven data models and datasets for attribution and campaign reporting.
• Improved marketing data marts and KPIs.
• Led POCs with AtScale and Platfora to modernize reporting.
• Improved data quality and pipeline reliability through validation logic.

• Developed dashboards supporting marketing performance and attribution.
• Built and maintained digital marketing channel models.
• Administered Tableau Server to ensure reliability and governance.

• Earlier Experience

• Earlier Experience

• Earlier Experience

• Earlier Experience