Responsible for real-time data platform, metrics platform, reporting & analytics UX, machine learning, and data warehouse.Strategically and tactically restructured teams to align with business and engineering objectives. Mentored engineers and managers.Successfully drove the strategy and roadmap to build a full-featured data platform—optimized for scalability, elasticity, DX productivity, decentralized data ownership, data as a product and self-service UX. Directed machine learning team—delivering features for messaging auto-response, personalized product recommendations, customer win-back, among other features.Interviewed software engineers, data engineers, machine learning engineers, analysts, engineering managers, and product managers to accelerate rapid team growth.Developed and implemented career ladder for machine learning engineers.

Managed 2 teams. Data Intelligence: responsible for data platform for machine learning, product analysis, data science, and Agent Finance: building a new financial reporting service for real estate agents. Led teams to remove performance and supportability bottlenecks, replacing an outdated, closed system with an open, scalable platform that supports self-service for data scientists and machine learning engineers.Created KPIs and worked with product management to improve UX on data systems and optimize efficiency.Mentored engineers and analysts.Worked with data scientists to successfully streamline data processing for machine learning.

Grew a single data team of 4 engineers into three teams of 19. Responsible for 3 feature teams; Audit Reporting, Analytics, and Company Insight. Facilitated self-service reporting and analytics across internal business teams. Led transformation of a monolith database system to a distributed compute & data platform supporting real-time data streaming. Oversaw OKRs improving overall data security and productivity. Managed Andela, an offshore vendor, for engineering team augmentation. Member of the engineering leadership team.

Led cross-functional initiative to develop an event data stream platform for services to source reporting and analytics. Developed a data stream ingestion service for data producers.Introduced a schema registry service to manage schema evolution for real-time event data.Initiated and implemented a real-time data ingestion service to consume data from Kafka to a data warehouse (prior to the existence of standard Kafka connectors). Built libraries to automatically flatten recursive data structures into denormalized data structures better suited for SQL queries in data lake and data warehouse.Created a sandbox developer toolkit and environment that multiplied productivity for data engineers. Chaired Gilt Architecture Board

Sold and negotiated multimillion-dollar engagements, driving successful outcomes and outstanding results.Delivered scalable data systems for customer and marketing data. Created several analytics systems and solutions in the domain of customer marketing.For example:Designed and engineered an end-to-end data processing and integration framework that facilitated 100+ million customer records and tens of billions of sales transactions and marketing communications. Integrated SAS Analytics platform with Oracle databases that accelerated data mining models.

Oversaw the architecture, design, and development of Epiphany’s Enterprise Insight suite of applications. Responsibilities included data warehouse/mart schema design, determining optimal ETL practices, working closely with Product Management assessing product features, defining campaign and analysis metrics, training engineers both in-house and at Japanese counterpart, personnel management, sales calls, managing product and patch releases, evaluation of 3rd-party technologies, and internationalization & localization.Managed an out-source team of engineers hired to develop Epiphany Web Log Reader - a tool for enterprises to extract standard web logs into a relational database for further analysis and reporting. Designed and created an application used for e-commerce browsing and shopping path analysis. The application used a combination of Markov Chains and dimensional data models. This solution resolved the inherent difficulties in managing and analyzing nearly infinite permutations of browsing and shopping patterns, as it allowed analysts to hone in on important sub-segments of these. Designed and created a Java application to integrate Epiphany e-commerce and BroadVision One-to-One for e-commerce. The data plugin facilitated campaign management, shopping cart analysis, customer online movement analysis, and offer presentation tailored to customer profiles.

Commercial Enterprise Data Warehouse Application:Member of a team responsible for designing and developing the Supply Chain Intelligence components for Oracle Applications Business Intelligence (release 11i). Development involved, dimensional data models, ETL, SQL, performance tuning, business logic, and data presentation.Pricing Application:Designed and created a Pricing Application, for in-house use, using the concept of Economic Order Quantity (EOQ) to determine the optimal ordering quantity of a particular product.Product Allocation Application:Designed a Product Allocation Application, for in-house use, to facilitate optimal product allocation at Oracle’s warehouse. Development involved creation of advanced mathematical algorithms (incl. genetic algorithms).Data Mart for Shipping and Inventory Operations:Proposed, planned, designed, and implemented a Data Mart, for in-house use, to facilitate analysis and reporting for shipping and inventory operations.