Greg Sokol
Senior Manager, Software Engineering @ GEICO
About
* Passionate about driving business value through data and analytics * Developed roadmaps and set the strategic direction, scope, and success metrics for product initiatives; defined, prioritized and built new product features * Hired and mentored talented data engineers and analysts * Designed and built large scale OLTP and OLAP systems * Evaluated and procured tools and technologies; performed vendor evaluations and negotiations
United States
Pleasanton
Hospital & Health Care
Data Management, Building World Class Teams, Stakeholder Engagement, Cross-functional Team Leadership, Data Governance, Enterprise Architecture, Extract, Transform, Load (ETL), Healthcare Information Technology (HIT), Medicare, Cloud Computing, Data Warehousing, Project Management, Organizational Leadership, Product Strategy, Reporting & Analysis, Financial Reporting, Business Strategy, ETL, Data Modeling, SQL
Experience

Senior Data Engineering Manager
San Francisco Bay Area
- Established engineering team responsible for building centralized Data Platform. Implemented data products that help practices' transition to value-based care - Led integration with CMS and Private Payers, multiple EMR/EHR systems, Population Health Tools - Implemented platform for KPI tracking that powers strategic and tactical decision making as well as provider incentive payments

Senior Manager, Data Engineering
Menlo Park, California, United States
- Established data engineering team to enable company-wide partner management analytics. Created a platform for goals forecasting, KPI tracking, partner segmentations, and partner ecosystem analysis. Supporting hundreds of partner managers that maintain relationships with millions of creators on Meta platforms. - Lead engineering team that enables multi-billion dollar platform-wide music licensing operations. Responsible for internal analytics as well as external-facing reports for hundreds of music rights owners.

Manager, Data Engineering
San Francisco Bay Area
- Managed company Financial Data Warehouse. Led team of Data Engineers, Backend Engineers and Data Analysts. - Established a single source of truth for financial metrics at Uber. Led company-wide initiative for cross-system data reconciliation. - Designed and implemented data quality monitoring system, which includes source-to-target data validations and anomaly detection - Built Compliance Data Store from scratch that supports company regulatory obligations in hundreds of jurisdictions around the world.

Manager, Data Engineering - Partner Integrations & Finance
San Francisco Bay Area
- Built a group of highly skilled engineers with a result driven mindset. Continuously worked on setting clear expectations, providing direction and guidance, and maintaining high levels of motivation and engagement. - Performed product manager duties for external and internal facing reports and dashboards. Communicated with stakeholders, gathered requirements, developed roadmaps, success criteria and SLAs, and drove execution. - Created a unique data pipeline to integrate the company financial data into a comprehensive analytical platform. Paid special attention to data governance and data integrity. Enabled the finance department, data scientists, data analysts, and BI personel to leverage all data points within Instacart. - Led design and implementation of external-facing self-service analytical tool. - Hands on experience with Redshift, Snowflake DB, AWS EMR, AWS Kinesis and other technologies. - Was responsible for maintaining company reporting infrastructure (Tableau).

Manager, Data Engineering
San Francisco
- Built data engineering team from scratch. Established interview process, hired, mentored and guided highly skilled engineers. - Cultivated strong partnerships with the Product, Business, and other stakeholders to align with the company vision. Created and executed short and long term strategies. - Led design and implementation of Global Data Platform. Architected and built data infrastructure which scaled with the business through hyper growth - Led design and implementation of internal and external facing financial reports. - Evaluated various data platform technologies. - Hands-on experience with Redshift DB, Snowflake DB, Python, Kinesis, Tableau, Presto.

Manager, DWH Engineering
San Francisco Bay Area
- Designed and implemented multi-terabyte Data Warehouse from scratch - Built self-service analytics platform to drive company decision making, especially within marketing acquisition/retention and merchandise buying/planning - Hired and managed team of high performing engineers - Performed budget planning and vendor management duties - Evaluated databases, ETL and BI reporting tools, and open source technologies - Established project management framework using Agile methodology - Hands-on experience with AWS (Redshift, S3 etc) and other cloud solutions - Experience with Omniture web analytics and Google Analytics - Experience with multi-channel direct marketing attribution modeling - Hands-on experience with Tableau

Advisor
Syncsort Customer Advisory Board

Data Architect
Implemented multi-terabyte Data Warehouse using Hadoop, Hive, Pig Developed KPI metrics. Designed and maintained reports and dashboards to monitor ongoing ad campaigns. Analyzed A/B tests results. Designed and implemented data driven products. Performed data analysis to identify users behavioral patterns. One of key contributors to Location Graph platform (patent 9547666 "Location graph based derivation of attributes"). Designed and prototyped data acquisition and data preparation processes, including geospatial data. Designed and implemented data visualization processes

Sr. Database Engineer - Data Processes Architecture
Played leadership role in enhancing and scaling up data driven processes and applications. Part of big-data initiative. Redesigned music related classification processes. Developed algorithms for text matching. Improved performance in orders of magnitude by migrating processes to Perl/Hadoop based platform. Designed and implemented Video products classification processes. Performed data analysis to evaluate business ideas and initiatives. Extracted patterns from a large data sets and transformed data into an informational advantage. Design and implementation of reports for Data Quality analysis
Greg Sokol's Contact Information
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