Responsible for leading digital engineering, digital analytics, and business intelligence teams to generate insights for marketing, sales, privacy & risk partners. This includes BAU reporting, Ad-Hoc analysis and generating timely and actionable recommendations for optimization and growth. I encourage mentoring and statistical approaches to help explain patterns and trends and better understanding the why behind the what happened scenarios. Also responsible for standing up customer journey analytics organizationally and moving to deeper understanding of what the customer experienced to enable a better experience and improved business growth goals. Integrated other relevant data sources which can be used to better understand a more complete picture of the customer’s journey. This includes integrating digital data with call center data, survey data, and transaction data. Establish regular cadences of internal partnering teams that include digital engineering, UX/UI/CX, and product leads responsible for P/L and driving innovation of features and functions for web, OLB, and mobile.

Head of Customer & Web Analytics within the Data & Analytics (D&A) organization. Lead the web, mobile, and customer experience teams to help internal partners understand data in ways which are actionable, relevant, and timely. The excitement is in the direct selling approach which looks at optimization across a B2B2C model and improving digital experiences for Amway Business Owners (ABO's) and their respective customers. Helping business owners across the world in such diverse markets with products that improve their lives is very rewarding. Amway continues to be the global leader in the direct selling space.

Leads all digital analytics and reporting functions for the ecommerce business, providing insights and strategic recommendations to drive profitable growth as well as developing self-service reporting capabilities to enable business partners to quickly asses the health of their business. Work with other leaders in the strategic planning process and partners with cross functional enterprise executives to define problems, identify ecommerce business opportunities and leads the development of customer focused analysis and insights to solve and drive overall growth for the enterprise. Responsibility includes owning the digital analytics strategy, roadmaps and priorities.

Led a team of DBA’s who had primary responsibility for production database environments supporting over 100 remote bank branches. Led the efforts to define road maps for database improvement in areas of security, performance, stability, master data management, BI strategy, BCP planning, production monitoring and alerting, capacity planning, license strategy all running in a virtual environment. Conducted training to junior DBAs in advanced database areas like partitioning, clustering, mirroring, and database design optimized to meet requirements and achieve service level agreements in performance and system availability.

Contract to optimize large scale database performance across various optical engines and dynamics, ray-tracing and rendering. Implemented Reyes pipeline used for bounding volume across areas of geometric primitive allowing the simulation of physically based light and shading. Micro-polygons were generated using Monte Carlo methods of stochastic sampling methods to speed the convergence time. Developed a co-shader which integrated both the BRDF and the physical light characteristics into a single pass engine.http://graphics.pixar.com/library/PhysicallyBasedLighting/paper.pdf

Product Simulation & Control System (PSCS)Led a team in the development of product centric large scale information systems used for the production of Multi-layer Optical Film (MOF). This system spanned 6 film maker lines, 4 company divisions, and served over 450 users from a wide diversity of disciplines. The information content is used by product engineers, process engineers, quality control staff, research & development staff, as well as management staff. This system served as a backbone for more than 800 large scale production runs and has resulted in over $5B in sales over a period of 6 years. The system architecture employed the latest advances in machine learning and qualitative analytics. This system was considered mission critical and was built on a high availability platform using .Net technologies and SQL Server 2008 R2/Windows 2008 R2 leveraging advanced analytics for “what-if” scenarios, based on data warehousing using the full Microsoft BI suite: SSAS, SSIS, and SSRS.Process Monitor & Control System (PMADS)Led a team in the development of process centric large scale information systems used for the production of Multi-layer Optical Film (MOF). This system was designed to automate the classification and correlation of tag-value data to product quality attributes. It enabled a deeper level of Product Process Understanding (PPU) by an order of a magnitude and could help tied product quality attributes (Symptoms) back to process upsets (Probable causes). The system architecture employed the latest advances in machine learning and predictive quantitative analytics. This system was built on a high availability platform using .Net technologies and SQL Server 2008 R2/Windows 2008 R2 leveraging advanced analytics for “what-if” scenarios, based on data warehousing using the full Microsoft BI suite: SSAS, SSIS, and SSRS.

Primary software architect and developer of "Same Day Release System", SDRS which used expert systems and neural net logic to automatically configure hydraulic components. This was used by global sales force in US and Europe across many hydraulic distributors to increase sales, reduce engineering mistakes, reduce manufacturing complexity, and offer the customer the best value having the system determine the engineering and hydraulic details needed to meet their requirements. This system was written in C, using KEE software for neural net and expert system rules.