Ethan Young
Director, Data Analysis @ZoomInfo
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WORK HISTORY
Director, Data Analysis @ZoomInfo
Portland, OR, US
Team: Data Analytics – Analytics Management – Data Governance – Data QualityBusiness Transformation Impact: Data Reliability Increase | Analytics Efficiency Growth | Cross-Platform Integration | Customer Search ImprovementAs the Director for Data Analysis, I lead data analysis operations for Core Data products, shaping scalable pipelines, platforms, and tools that unify data and improve quality across ingestion, transformation, and delivery. I am accountable for data quality and AI output governance, making final decisions on the readiness of AI-driven data for production use, while advancing future capabilities through LLM-based experimentation. I partner with product, research, and engineering leaders to strengthen analytics, optimize search experiences, and ensure privacy-conscious, trustworthy use of data and AI.Significant accomplishments include:• Improved platform reliability by leading pipeline redesigns that process billions of records into hundreds of millions of entities across dozens of sources for better profiling, search performance, and AI readiness.• Led formal evaluation of AI model outputs for data enrichment and validation, owning quality assessment and approval decisions prior to any production integration.• Explored next-generation AI capabilities by leading LLM-based proof-of-concepts for data enrichment and validation, assessing feasibility, quality impact, and paths to safe production adoption.• Optimized data usability by directing cross-functional integration of ingestion, profiling, entity resolution, and indexing, helping deliver consistent data for customer-facing applications.• Introduced an open collaboration model for normalization, enrichment, and validation, which enabled multi-team contributions and faster iteration and accelerated service reuse.• Implemented a North Star metrics framework, which standardized measurement and supported early issue detection for greater performance visibility.
EDUCATION
University of Richmond
Bachelor of Science - BS, Physics
SKILLS
ABOUT ETHAN YOUNG
The value of data is only realized when systems are designed to scale, signals are trusted, and teams are aligned around outcomes. Across my career, I have made notable achievements in helping organizations turn complex, fragmented data into reliable products that power decision-making at scale. From modernizing large-scale ingestion pipelines to unifying profiling, entity resolution, and search, I am deeply committed to building data ecosystems that are resilient, privacy-aware, and built for growth, including the evaluation and adoption of AI.Career Highlights:• Improved platform reliability by leading pipeline redesigns that process billions of records into hundreds of millions of entities across dozens of sources for better profiling, search performance, and AI readiness.• Delivered integrated ingestion, profiling, entity resolution, and indexing systems supporting customer-facing applications for go-to-market use cases.• Improved search relevance and type-ahead performance using Solr and Elasticsearch for customer-facing platforms.• Established a reusable, open-collaboration model for normalization, enrichment, and validation services across teams.• Owned data quality evaluation for AI-driven outputs and guided production readiness decisions to ensure trust, consistency, and business alignment.These experiences have reinforced the importance of strong foundations. Reliable data platforms enable better products, faster decisions, and sustainable innovation. My strength lies in connecting technical architecture with business priorities so systems scale with confidence rather than complexity.What I Bring to the Table:• Progressive leadership background across data analysis, data engineering, and platform strategy• Hands-on and governance-level experience with large-scale pipelines, entity resolution, search, and AI-driven data quality evaluation• Proven ability to lead cross-functional and globally distributed teams• Pragmatic approach to adopting metrics and operational guardrails that cultivate excellence within high-growth, data-intensive environmentsData may power the platform, but clarity drives the impact. If you are building data systems that need to scale with trust and purpose, including the thoughtful use of AI, I am always open to a conversation.Key Skills: Data Platform Strategy, Large-Scale Data Pipelines, Entity Resolution, Search and Discovery Systems, Data Quality and Profiling, AI Output Evaluation and Governance, Distributed Team Leadership
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