Ark Data AI LLC seeks to bring the power of artificial intelligence to the automation of back office processes.

• Rebuilt and modernized data infrastructure with best-in-class cloud technologies for centralized reporting and data analytics. • Developed system architecture, roadmap, and execution plan. • Managed all aspects of initiatives from ideation through requirements and vendor selection to deployment, customization, and support.• Led internal custom application development from requirements through deployment.• Responsible for annual project budgets of $2-4M.• Advised cybersecurity council on technology, policy, and compliance.

Providing comprehensive advisory services to clients around Big Data and Analytics, including technology architecture, organizational structure, capabilities deployment, and roadmap advice.

• Grew NBCU Enterprise Hadoop platform and teams from 32 servers and 2 people in New York to 183 servers and 30+ people on two continents.• Created organizational structure, developed operating policies & process, and recruited heavily while simultaneously supporting data delivery to numerous stakeholders in digital ad sales, news research, and analytics technology. • Managed $3M annual capital budget, procuring technology, establishing services partnerships, and sponsoring cross-functional collaborations across NBCU groups.• Expanded the Big Data customer base within Ad Sales and beyond to include Universal Orlando (Parks), NBC Sports, Universal Pictures, NBC News, and NBC Entertainment. • Originated solutions architect role, helping customers to derive value from industry data sets, including Freewheel, DFPP, Nielsen, Omniture, Rentrak, and Hulu. • Sponsored consumer analytics efforts with Fandango transaction data to enhance movie marketing at Universal Pictures and with Omniture log data to characterize user behavior at NBC Sports, NBC News, and Universal Orlando web sites and mobile apps.• Led hardware & software architecture definition and technology evaluations.• Directed technology, architectural, and process improvements to optimize application resource consumption and performance. For the Rio Olympics, more than doubled Freewheel video ad data velocity from the Sochi Olympics, enabling incremental digital ad revenue of several $M.• Drove data management initiatives to free data from organizational siloes and to turn them into enterprise assets.• Formulated Big Data disaster recovery strategy with Amazon Web Services (S3 & EC2).

• Led the Advanced Analytics Lab at Sprint, responsible for turning Sprint's vast data resources into monetizable assets as well as pushing research boundaries at the intersection of Big Data and telecommunications. • Initiated and deployed Sprint's Enterprise Big Data strategy, building Sprint’s first Hadoop clusters for data discovery and machine learning.• Oversaw product trials of Hadoop distributions and analytics/reporting tools.• Evangelized Hadoop platform throughout Sprint, winning new clients and delivering insights to Customer Care, Human Resources, Network, Fraud/Security, and Marketing.• Directed data science inquiries into inferred subscriber demographics, home location determination, churn probability, fraud pattern identification, and location-based services.• Presented the case for telecom data monetization at Mobile World Congress (2014).

• Led analytics effort in the innovations group.• Developed and evaluated new business opportunities with mobile healthcare applications and prescription drug pricing transparency.

• Created and led separate product group within Sponsored Search Engineering to support customer-facing teams, including ad quality, sales, and customer support.• Pioneered the use of Hadoop for business intelligence and sales support at Yahoo.• Responsible for full development and production lifecycle for data-driven tools, including requirements gathering, architecture, design, development, test, and operations. • Leveraged Agile principles to shrink release timelines by an order of magnitude, getting data and analyses to customers in 2-4 weeks rather than months/years.• Managed and drove key new targeting feature releases in Sponsored Search, e.g. geographic, demographic, and time-of-day.

• Responsible for key product algorithm development, sustaining engineering, feature and product definition. • Architected and shepherded 2.2 release, immediately converting 4 of 5 POCs to sales. • Innovated novel solutions to customer problems in compressed time frames, with minimal engineering impact. • Managed teams of up to 10 people across middleware and UX. • Formed technical relationships with strategic customers (Disney, Morgan Stanley, ADP).• Evaluated competitive technologies.• Provided technical expertise in fund-raising, architecture, and company strategy.

• Helped integrate McAfee's research laboratories. • Wrote & edited white papers and semi-annual global threat report.• Generated better press response (100+ articles per release) than any other initiative.

Responsible for security data analysis and product performance testing. Identified, analyzed, and pushed critical product design, implementation, and customer support issues to resolution. Developed java tools for product testing and analysis. Provided market expertise for product marketing, communications, and competitive analysis.

Responsible for Sygate solution outbound marketing content, including web site, case studies, and white papers. Developed security metrics dashboard: gathered requirements, specified features, and facilitated marketing-engineering communication. Built ROI and TCO sales tools. Represented Sygate on Global Security Consortium's Risk Preparedness Index working group.