As the VP of Data & Analytics at Carta, I spearheaded a comprehensive strategy for the data organization, guiding a full-stack data team comprising Data Engineering, Analytics Engineering, Data Science, and Machine Learning Engineering. Collaborating closely with product and business leadership, I focused on leveraging unique data sets to drive innovative solutions, aligning with our shared vision. This strategic approach led to the enhancement of self-service capabilities and elevated the quality of Data Science collaborations, resulting in tangible and impactful outcomes.* Streamlined data integrations, architected core data marts, refined data governance practices and upgraded tooling infrastructure to significantly improve the foundation for self service efforts , as well as enhance Data Science and Machine Learning projects.* Developed document extraction models for complex documents using LLMs; employee retention prediction based on various compensation parameters; in partnership with the business team, developed a new valuation capability for FMV calculations for pre-revenue startups, and more.* Formed strategic partnerships to develop and launch a groundbreaking Compensation product, leveraging ML-generated benchmarks, resulting in rapid market adoption and industry recognition.* Led software engineering teams building internal solutions for identity resolution, external integrations, permissions, and centralized document management.

I established the Data Engineering function at Square, and hired a team of Data Engineers, BI Developers, and Analysts to up level data quality and consistency. My team was responsible for building and maintaining cross-domain data marts, establishing SLAs, and delivering tooling to support a highly complex product ecosystem and a large number of internal users. I led several large initiatives to modernize the data stack, from build vs. buy decisions through implementation to scale analytics, ultimately unlocking self-service capabilities and faster decision-making.* Scaled data team from 3 engineers to several teams totaling over 30 individual contributors and managers, by revamping recruiting efforts, and defining job leveling for these roles at Square.* Led tool selection and subsequent migration from Tableau to Looker, Vertica to Snowflake, and custom scripts to Fivetran to bring Square closer to modern data stack.* Directed the development of internal ETL software to unlock self-service capabilities for less technical analysts to allow for creation of custom ETLs.* Supported over 4,000 users of Snowflake and Looker, including conducting ongoing training, running office hours and meetups, onboarding teams onto the new technologies, and building custom solutions. This resulted in accelerated speed to decision-making and unlocking self-service capability to internal customers with various levels of technical ability.

I led a team of Data Analysts and Data Scientists in delivering predictive analytics, and business intelligence initiatives for HotelTonight, a last-minute hotel reservation service. Accomplishments included Acquisition Marketing ROI for mobile users, customer segmentation and co-horting, multi-platform customer tracking, predictive modeling for supply and demand, affiliate marketing fraud identification, and much more.* Defined the roadmap for analytics projects and deliverables by partnering with leaders across the organization.* Hired and managed a team of 6 data analysts and data scientists* Involved in generating analyses that impacted business decisions within Marketing, Product, Supply and International teams* Team supported over 150 end users across the organization

Led a team of Data and Web analysts in delivering advanced analytics and business reporting for Modcloth, a specialty apparel e-commerce startup. Responsible for building a foundation of analytics capabilities, including cross-device user analysis, marketing channel attribution, lifetime value (LTV), customer segmentation, merchandise performance, and many others. Developed functional relationships with leaders of Product, Marketing, Merchandising and other teams to establish analytics team as a trusted partner. * Managed migration of production data warehouse from MySQL to Amazon Redshift, and BI and Analytics platform from Pentaho to Tableau. Enabled near-real-time source data synchronization and included external feeds such as Omniture clickstream data and Responsys email campaign data* Instituted practices that established periodic training and office hours allowing users across the company to become self-sufficient. Analytics team supported over 150 users across the organization.* Hired, trained and managed a team of six employees and five offshore consultants.* Generated analyses identifying high-value customers for marketing efforts; profit-generating merchandise for site marketing; evaluating online and offline tests and other projects in support of business teams

Planned, implemented, and oversaw all aspects of Web and data analytics to identify numerous performance metrics. Managed and built data warehouse, including schema design, report creation, and communication of data to end-users. Managed design and implementation of data ETL processes. Enabled business users to easily access business-critical data. Designed and implemented Microstrategy reports to share KPIs and other business-critical data. Delivered continuous improvement across tools and processes to ensure data accuracy. * Led team to architect and develop internal data warehouse solution. Spearheaded re-implementation of Omniture Analytics. * Collaborated with Product Team to improve conversion to purchase rate by 15% and increase revenue by designing and implementing A/B and multivariate testing. * Boosted renewal revenue on previously-failed subscriptions by 40% and improved churn analytics via design and implementation of subscription system with full audit trail of any charges/changes to individual subscriptions.* Engineered alert system to identify inconsistencies/questionable data changes and send automated notifications.

Served as resident data expert and internal analytics consultant for business teams. Led team to create multiple reports and dashboards. Conducted end-user training and supported 400+ users spanning various business units, including Marketing, Business Development, Legal, Product, and PR. Directed collection of business requirements, converting them into logical and physical database model, designing ETL processes, and presenting data to users.* As original member of YouTube's Business Intelligence Team, led initial design and launch of data warehouse and supported numerous subsequent releases. * Enabled end-users to answer strategic questions and inspired data-driven decision culture at YouTube, which was achieved through creation of self-service reporting system.

Directed technical staff and oversaw projects, which involved prioritization, scheduling, resource allocation, and development of functional and technical specifications. Managed royalty and bounty reporting to 150+ partners, including end-user support. Developed logical and physical data models using Visio and ErWin to reflect changes to data warehouse schema. * Implemented new features in warehouse based on constantly-evolving product, working in conjunction with Engineering and Product Teams. * Analyzed marketing campaigns, promotions, and daily Web and application usage to provide Product and Marketing Teams with data to support business and feature-improvement decisions. * Partnered with auditors to identify, document, and resolve potential issues to ensure Music Division was in full compliance with Sarbanes-Oxley.

Designed logical and physical data model of enterprise-wide Teradata data warehouse, combining various organizational unitsí data and business logic into single business intelligence system. Implemented and administered Microstrategy 7.2 Business Intelligence Suite. Redesigned Oracle warehouse Star schema into Snowflake schema to better support Microstrategy. * Designed, developed, and tested ETL code for Music Services division and presented final product to senior management. * Created system to track royalty usage, calculate royalties based on business rules and contracts, and generate recurring statements to facilitate timely payment of 150+ rights holders and business partners. * Developed numerous Web-accessible automated reports for various business units.

Administered Accrue Insight Web traffic reporting tool and created reports for in-depth analysis of application, end user data, and Web traffic based on needs of business units company-wide. Supported Oracle data warehouse, including ODS (Operational Data Source) and several datamarts. Translated business data needs into technical requirements for reports.* Collected data from various production sources and loaded into data warehouse by utilizing SQL Loader for export/import functionality, Shell scripts, custom SQL, and PL/SQL procedures.* Facilitated business decision-making company-wide, including Operations, Executive Team, Marketing, and Finance Department by designing, developing, and testing automated reports.* Contributed to design of logical and physical Star schema and in full development cycle.